Important: What FlowDot Is (And Isn't)
FlowDot does not train or run any AI models. We are a workflow platform that connects you to third-party AI providers (OpenAI, Anthropic, Google, etc.) through their APIs. When you use an AI model through FlowDot, the actual computation happens on the provider's servers - not ours.
This means we cannot directly measure energy consumption. We don't have access to the providers' data centers, power meters, or infrastructure. Everything on this page is our best attempt to estimate and inform - not measured reality.
Key Terms & Definitions
- Watt-hour (Wh)
- A unit of energy equal to one watt of power sustained for one hour. Used to measure AI inference energy consumption.
- Token
- A unit of text processing in AI models. One token is approximately 4 characters or 0.75 words in English.
- Inference
- The process of running a trained AI model to generate responses. Consumes energy for each request processed.
- Parameters
- The learned weights in a neural network. GPT-4 has approximately 1.8 trillion parameters; more parameters typically means higher energy use.
- PUE (Power Usage Effectiveness)
- A ratio measuring data center efficiency. A PUE of 1.2 means 20% of energy goes to cooling and overhead.
- Carbon Footprint
- The total greenhouse gas emissions caused by AI computation, measured in CO2 equivalent (CO2e).
The Transparency Problem
Large Language Models require substantial computational resources. Most AI providers do not disclose energy data, creating challenges:
- Understand the true environmental cost of AI services
- Make informed choices about which models to use
- Hold providers accountable for their carbon footprint
- Develop more energy-efficient AI systems
- Compare energy efficiency across different providers
- Track improvements in model efficiency over time
- Set meaningful sustainability goals
- Report accurately on AI environmental impact
Key AI Energy Statistics
Training Energy Facts
- GPT-3 training: ~1,287 MWh
- Equal to ~120 US homes per year
- Training runs 24/7 for weeks
- Multiple GPUs running in parallel
- Cooling adds 10-20% overhead
- One-time cost per model version
Inference Energy Facts
- Scales with usage volume
- Can exceed training cost over time
- Optimizations reduce per-query cost
- Batching improves efficiency
- Smaller models use less per query
- Caching reduces redundant compute
Model Size Impact
- Energy scales with parameters
- GPT-4 has ~1.8T parameters
- GPT-4o-mini is ~10x more efficient
- Smaller models for simple tasks
- Larger models for complex reasoning
- Architecture affects efficiency
Efficiency Trends
- 10-100x efficiency gains per generation
- Better architectures use less energy
- Quantization reduces memory needs
- Pruning removes unnecessary weights
- Distillation creates efficient models
- Hardware improvements continue
Practical Tips for Reducing AI Energy Use
Choose the Right Model
- Use smaller models for simple tasks
- GPT-4o-mini uses ~10x less energy than GPT-4
- Claude 3 Haiku is optimized for efficiency
- Match model capability to task complexity
Optimize Your Prompts
- Write concise, clear instructions
- Avoid unnecessary context in prompts
- Request shorter responses when appropriate
- Batch multiple queries when possible
Use Local Models
- Run Ollama on your own hardware
- Power local setups with renewable energy
- Llama 3.1 8B offers good efficiency
- Full control over your energy source
Monitor with FlowDot
- Track energy estimates per workflow
- Identify high-consumption patterns
- Compare models for the same task
- Set team energy awareness goals
Our Methodology
We compile energy data from multiple sources and are fully transparent about the reliability and origin of each data point. Our goal is to provide the best available estimates while being honest about their limitations.
Data Source Types
How We Calculate Estimates
- Start with known parameter counts when available
- Apply energy-per-parameter formulas from research papers
- Factor in typical data center PUE (1.1-1.2)
- Account for inference optimization techniques
- Cross-reference with pricing tiers as sanity check
- Update estimates when new data becomes available
- Flag uncertainty with tilde (~) prefix on values
Key Research Sources
- Patterson et al. (2021) - "Carbon Emissions and Large Neural Network Training" - Google Research
- Luccioni, Viguier & Ligozat (2023) - "Estimating the Carbon Footprint of BLOOM" - Hugging Face
- Touvron et al. (2023) - "LLaMA: Open and Efficient Foundation Language Models" - Meta AI
- Strubell, Ganesh & McCallum (2019) - "Energy and Policy Considerations for Deep Learning in NLP" - ACL
- Dodge et al. (2022) - "Measuring the Carbon Intensity of AI in Cloud Instances" - ACM FAccT
Per-Model Energy Estimates
Important Disclaimer
The data below is NOT official. Unless explicitly marked as "Official" (green badge), all values are our own estimates and educated guesses based on publicly available information.
We make no claims about actual energy consumption. The true energy usage of these models is known only to their providers. Our estimates may be significantly different from reality.
| Model | Provider | Params (B) | Context | Input Wh/1M | Output Wh/1M | Capabilities | Source |
|---|---|---|---|---|---|---|---|
|
Bge Base En V1.5
BAAI/bge-base-en-v1.5 |
Deepinfra | 1.8B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Bge En Icl
BAAI/bge-en-icl |
Deepinfra | 2.0B | 8K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Bge Large En V1.5
BAAI/bge-large-en-v1.5 |
Deepinfra | 1.8B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Bge M3
BAAI/bge-m3 |
Deepinfra | 2.0B | 8K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Bge M3 Multi
BAAI/bge-m3-multi |
Deepinfra | 1.8B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Bge M3 Multi 8k
BAAI/bge-m3-multi-8k |
Deepinfra | 2.0B | 8K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Seed 1.8
ByteDance/Seed-1.8 |
Deepinfra | 46.0B | 256K | ~27.60 | ~82.80 |
V
T
I
A
J
|
Inferred |
|
Seed 2.0 Code
ByteDance/Seed-2.0-code |
Deepinfra | 60.0B | 256K | ~36.00 | ~108.00 |
V
T
I
A
J
|
Inferred |
|
Seed 2.0 Mini
ByteDance/Seed-2.0-mini |
Deepinfra | 5.7B | 256K | ~3.42 | ~10.26 |
V
T
I
A
J
|
Inferred |
|
Seed 2.0 Pro
ByteDance/Seed-2.0-pro |
Deepinfra | 60.0B | 256K | ~36.00 | ~108.00 |
V
T
I
A
J
|
Inferred |
|
MythoMax L2 13b
Gryphe/MythoMax-L2-13b |
Deepinfra | 4.3B | 4K | ~2.58 | ~7.74 |
V
T
I
A
J
|
Inferred |
|
MiniMax M3
MiniMaxAI/MiniMax-M3 |
Deepinfra | 27.0B | 524K | ~16.20 | ~48.60 |
V
T
I
A
J
|
Inferred |
|
Hermes 3 Llama 3.1 405B
NousResearch/Hermes-3-Llama-3.1-405B |
Deepinfra | 22.0B | 131K | ~13.20 | ~39.60 |
V
T
I
A
J
|
Inferred |
|
Hermes 3 Llama 3.1 70B
NousResearch/Hermes-3-Llama-3.1-70B |
Deepinfra | 12.0B | 131K | ~7.20 | ~21.60 |
V
T
I
A
J
|
Inferred |
|
QwQ-32B-Preview
Qwen/QwQ-32B-Preview |
Together | 32.0B | 33K | ~19.20 | ~57.60 |
V
T
I
A
J
|
Estimated |
|
Qwen2.5 72B Instruct
Qwen/Qwen2.5-72B-Instruct |
Deepinfra | 4.8B | 33K | ~2.88 | ~8.64 |
V
T
I
A
J
|
Inferred |
|
Qwen2.5-72B-Instruct-Turbo
Qwen/Qwen2.5-72B-Instruct-Turbo |
Together | 72.0B | 131K | ~43.20 | ~129.60 |
V
T
I
A
J
|
Estimated |
|
Qwen2.5-7B-Instruct-Turbo
Qwen/Qwen2.5-7B-Instruct-Turbo |
Together | 7.0B | 131K | ~4.20 | ~12.60 |
V
T
I
A
J
|
Estimated |
|
Qwen3 14B
Qwen/Qwen3-14B |
Deepinfra | 3.0B | 41K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Qwen3 235B A22B Instruct 2507
Qwen/Qwen3-235B-A22B-Instruct-2507 |
Deepinfra | 7.7B | 262K | ~4.62 | ~13.86 |
V
T
I
A
J
|
Inferred |
|
Qwen3 30B A3B
Qwen/Qwen3-30B-A3B |
Deepinfra | 5.9B | 41K | ~3.54 | ~10.62 |
V
T
I
A
J
|
Inferred |
|
Qwen3 32B
Qwen/Qwen3-32B |
Deepinfra | 3.4B | 41K | ~2.04 | ~6.12 |
V
T
I
A
J
|
Inferred |
|
Qwen3 Coder 480B A35B Instruct Turbo
Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo |
Deepinfra | 24.0B | 262K | ~14.40 | ~43.20 |
V
T
I
A
J
|
Inferred |
|
Qwen3-Coder-Next
Qwen/Qwen3-Coder-Next |
Together | 80.0B | 131K | ~24.00 | ~72.00 |
V
T
I
A
J
|
Estimated |
|
Qwen3 Embedding 0.6B
Qwen/Qwen3-Embedding-0.6B |
Deepinfra | 2.0B | 33K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Qwen3 Embedding 4B
Qwen/Qwen3-Embedding-4B |
Deepinfra | 2.0B | 33K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Qwen3 Embedding 8B
Qwen/Qwen3-Embedding-8B |
Deepinfra | 2.0B | 33K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Qwen3 Max
Qwen/Qwen3-Max |
Deepinfra | 84.0B | 256K | ~50.40 | ~151.20 |
V
T
I
A
J
|
Inferred |
|
Qwen3 Max Thinking
Qwen/Qwen3-Max-Thinking |
Deepinfra | 84.0B | 256K | ~50.40 | ~151.20 |
V
T
I
A
J
|
Inferred |
|
Qwen3 Next 80B A3B Instruct
Qwen/Qwen3-Next-80B-A3B-Instruct |
Deepinfra | 27.0B | 262K | ~16.20 | ~48.60 |
V
T
I
A
J
|
Inferred |
|
Qwen3 VL 235B A22B Instruct
Qwen/Qwen3-VL-235B-A22B-Instruct |
Deepinfra | 20.0B | 262K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Inferred |
|
Qwen3 VL 30B A3B Instruct
Qwen/Qwen3-VL-30B-A3B-Instruct |
Deepinfra | 9.6B | 262K | ~5.76 | ~17.28 |
V
T
I
A
J
|
Inferred |
|
Qwen3.5 27B
Qwen/Qwen3.5-27B |
Deepinfra | 54.0B | 262K | ~32.40 | ~97.20 |
V
T
I
A
J
|
Inferred |
|
Qwen3.5 35B A3B
Qwen/Qwen3.5-35B-A3B |
Deepinfra | 24.0B | 262K | ~14.40 | ~43.20 |
V
T
I
A
J
|
Inferred |
|
Qwen3.5 397B A17B
Qwen/Qwen3.5-397B-A17B |
Deepinfra | 60.0B | 262K | ~36.00 | ~108.00 |
V
T
I
A
J
|
Inferred |
|
Qwen3.5 9B
Qwen/Qwen3.5-9B |
Deepinfra | 2.4B | 262K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Qwen3.6 27B
Qwen/Qwen3.6-27B |
Deepinfra | 62.0B | 262K | ~37.20 | ~111.60 |
V
T
I
A
J
|
Inferred |
|
Qwen3.6 35B A3B
Qwen/Qwen3.6-35B-A3B |
Deepinfra | 22.0B | 262K | ~13.20 | ~39.60 |
V
T
I
A
J
|
Inferred |
|
Qwen3.7 Max
Qwen/Qwen3.7-Max |
Deepinfra | 100.0B | 256K | ~60.00 | ~180.00 |
V
T
I
A
J
|
Inferred |
|
Qwen3.8 2.4T A95B
Qwen/Qwen3.8-2.4T-A95B |
Deepinfra | 95.0B | 262K | ~47.50 | ~142.50 |
V
T
I
A
J
|
Estimated |
|
Qwen3.8 27B
Qwen/Qwen3.8-27B |
Deepinfra | 53.0B | 262K | ~31.80 | ~95.40 |
V
T
I
A
J
|
Inferred |
|
Qwen3.8 Flash
Qwen/Qwen3.8-Flash |
Deepinfra | 5.5B | 1.0M | ~3.30 | ~9.90 |
V
T
I
A
J
|
Inferred |
|
Qwen3.8 Max
Qwen/Qwen3.8-Max |
Deepinfra | 76.0B | 256K | ~45.60 | ~136.80 |
V
T
I
A
J
|
Inferred |
|
L3 8B Lunaris V1 Turbo
Sao10K/L3-8B-Lunaris-v1-Turbo |
Deepinfra | 2.0B | 8K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
L3.1 70B Euryale V2.2
Sao10K/L3.1-70B-Euryale-v2.2 |
Deepinfra | 17.0B | 131K | ~10.20 | ~30.60 |
V
T
I
A
J
|
Inferred |
|
GLM-4.7
THUDM/GLM-4.7 |
Together | 42.0B | 131K | ~25.20 | ~75.60 |
V
T
I
A
J
|
Inferred |
|
MiMo V2.6 Flash
XiaomiMiMo/MiMo-V2.6-Flash |
Deepinfra | 4.1B | 1.0M | ~2.46 | ~7.38 |
V
T
I
A
J
|
Inferred |
|
MiMo V2.6 Pro
XiaomiMiMo/MiMo-V2.6-Pro |
Deepinfra | 19.0B | 1.0M | ~11.40 | ~34.20 |
V
T
I
A
J
|
Inferred |
|
Cogito 671b V2 P1
accounts/cogito/models/cogito-671b-v2-p1 |
Fireworks | 6.5B | 164K | ~3.90 | ~11.70 |
V
T
I
A
J
|
Inferred |
|
Deepseek R1
accounts/fireworks/models/deepseek-r1 |
Fireworks | 90.0B | 66K | ~32.40 | ~97.20 |
V
T
I
A
J
|
Inferred |
|
Deepseek V3
accounts/fireworks/models/deepseek-v3 |
Fireworks | 17.0B | 66K | ~6.12 | ~18.36 |
V
T
I
A
J
|
Inferred |
|
Deepseek V3p1
accounts/fireworks/models/deepseek-v3p1 |
Fireworks | 6.5B | 164K | ~2.34 | ~7.02 |
V
T
I
A
J
|
Inferred |
|
Deepseek V3p2
accounts/fireworks/models/deepseek-v3p2 |
Fireworks | 6.5B | 164K | ~2.34 | ~7.02 |
V
T
I
A
J
|
Inferred |
|
Deepseek V4 Flash 0731
accounts/fireworks/models/deepseek-v4-flash-0731 |
Fireworks | 7.1B | 1.0M | ~2.56 | ~7.67 |
V
T
I
A
J
|
Inferred |
|
Deepseek V4 Flash Vision Exp
accounts/fireworks/models/deepseek-v4-flash-vision-exp |
Fireworks | 7.1B | 1.0M | ~2.56 | ~7.67 |
V
T
I
A
J
|
Inferred |
|
Deepseek V4 Pro
accounts/fireworks/models/deepseek-v4-pro |
Fireworks | 7.1B | 1.0M | ~2.56 | ~7.67 |
V
T
I
A
J
|
Inferred |
|
Deepseek V4 Pro 0813
accounts/fireworks/models/deepseek-v4-pro-0813 |
Fireworks | 7.1B | 1.0M | ~2.56 | ~7.67 |
V
T
I
A
J
|
Inferred |
|
Deepseek V4p1 Flash
accounts/fireworks/models/deepseek-v4p1-flash |
Fireworks | 7.1B | 1.0M | ~2.56 | ~7.67 |
V
T
I
A
J
|
Inferred |
|
Deepseek V4p1 Flash 1017
accounts/fireworks/models/deepseek-v4p1-flash-1017 |
Fireworks | 7.1B | 1.0M | ~2.56 | ~7.67 |
V
T
I
A
J
|
Inferred |
|
Ember 1
accounts/fireworks/models/ember-1 |
Fireworks | 7.1B | 1.0M | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Flux 1 Schnell Fp8
accounts/fireworks/models/flux-1-schnell-fp8 |
Fireworks | 5.9B | - | ~3.54 | ~10.62 |
V
T
I
A
J
|
Inferred |
|
Flux Kontext Max
accounts/fireworks/models/flux-kontext-max |
Fireworks | 5.9B | - | ~3.54 | ~10.62 |
V
T
I
A
J
|
Inferred |
|
Flux Kontext Pro
accounts/fireworks/models/flux-kontext-pro |
Fireworks | 5.9B | - | ~3.54 | ~10.62 |
V
T
I
A
J
|
Inferred |
|
Gemma2 9b It
accounts/fireworks/models/gemma2-9b-it |
Fireworks | 2.0B | 8K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Glm 4p7
accounts/fireworks/models/glm-4p7 |
Fireworks | 7.1B | 203K | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Glm 5
accounts/fireworks/models/glm-5 |
Fireworks | 7.1B | 203K | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Glm 5p1
accounts/fireworks/models/glm-5p1 |
Fireworks | 7.1B | 203K | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Glm 5p2
accounts/fireworks/models/glm-5p2 |
Fireworks | 7.1B | 1.0M | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Glm 5p3
accounts/fireworks/models/glm-5p3 |
Fireworks | 7.1B | 1.0M | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Glm 5p3 Flash
accounts/fireworks/models/glm-5p3-flash |
Fireworks | 7.1B | 1.0M | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Gpt Oss 120b
accounts/fireworks/models/gpt-oss-120b |
Fireworks | 6.5B | 131K | ~3.90 | ~11.70 |
V
T
I
A
J
|
Inferred |
|
Inkling
accounts/fireworks/models/inkling |
Fireworks | 7.1B | 1.0M | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Kimi K2 Instruct 0905
accounts/fireworks/models/kimi-k2-instruct-0905 |
Fireworks | 7.1B | 262K | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Kimi K2p5
accounts/fireworks/models/kimi-k2p5 |
Fireworks | 7.1B | 262K | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Kimi K2p6
accounts/fireworks/models/kimi-k2p6 |
Fireworks | 7.1B | 262K | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Kimi K2p7 Code
accounts/fireworks/models/kimi-k2p7-code |
Fireworks | 7.1B | 262K | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Kimi K3
accounts/fireworks/models/kimi-k3 |
Fireworks | 7.1B | 1.0M | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Llama V3p1 405b Instruct
accounts/fireworks/models/llama-v3p1-405b-instruct |
Fireworks | 55.0B | 131K | ~33.00 | ~99.00 |
V
T
I
A
J
|
Inferred |
|
Llama V3p1 70b Instruct
accounts/fireworks/models/llama-v3p1-70b-instruct |
Fireworks | 19.0B | 131K | ~11.40 | ~34.20 |
V
T
I
A
J
|
Inferred |
|
Llama V3p1 8b Instruct
accounts/fireworks/models/llama-v3p1-8b-instruct |
Fireworks | 2.2B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Llama V3p2 11b Vision Instruct
accounts/fireworks/models/llama-v3p2-11b-vision-instruct |
Fireworks | 2.2B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Llama V3p2 1b Instruct
accounts/fireworks/models/llama-v3p2-1b-instruct |
Fireworks | 2.2B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Llama V3p2 3b Instruct
accounts/fireworks/models/llama-v3p2-3b-instruct |
Fireworks | 2.2B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Llama V3p2 90b Vision Instruct
accounts/fireworks/models/llama-v3p2-90b-vision-instruct |
Fireworks | 19.0B | 131K | ~11.40 | ~34.20 |
V
T
I
A
J
|
Inferred |
|
Llama V3p3 70b Instruct
accounts/fireworks/models/llama-v3p3-70b-instruct |
Fireworks | 19.0B | 131K | ~11.40 | ~34.20 |
V
T
I
A
J
|
Inferred |
|
Minimax M2p7
accounts/fireworks/models/minimax-m2p7 |
Fireworks | 6.5B | 197K | ~3.90 | ~11.70 |
V
T
I
A
J
|
Inferred |
|
Minimax M3
accounts/fireworks/models/minimax-m3 |
Fireworks | 7.1B | 512K | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Minimax M3p1 Flash
accounts/fireworks/models/minimax-m3p1-flash |
Fireworks | 7.1B | 1.0M | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Mixtral 8x22b Instruct
accounts/fireworks/models/mixtral-8x22b-instruct |
Fireworks | 17.0B | 66K | ~6.12 | ~18.36 |
V
T
I
A
J
|
Inferred |
|
Mixtral 8x7b Instruct
accounts/fireworks/models/mixtral-8x7b-instruct |
Fireworks | 5.9B | 33K | ~2.12 | ~6.37 |
V
T
I
A
J
|
Inferred |
|
Muse Glimmer 30b
accounts/fireworks/models/muse-glimmer-30b |
Fireworks | 6.5B | 131K | ~3.90 | ~11.70 |
V
T
I
A
J
|
Inferred |
|
Muse Spark Open
accounts/fireworks/models/muse-spark-open |
Fireworks | 7.1B | 1.0M | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Nemotron 3 Ultra Nvfp4
accounts/fireworks/models/nemotron-3-ultra-nvfp4 |
Fireworks | 7.1B | 262K | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Nemotron Lightning 3p5 30b A3b
accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b |
Fireworks | 7.1B | 262K | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Phi 3 Vision 128k Instruct
accounts/fireworks/models/phi-3-vision-128k-instruct |
Fireworks | 2.2B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Qwen2 72b Instruct
accounts/fireworks/models/qwen2-72b-instruct |
Fireworks | 17.0B | 33K | ~10.20 | ~30.60 |
V
T
I
A
J
|
Inferred |
|
Qwen2p5 72b Instruct
accounts/fireworks/models/qwen2p5-72b-instruct |
Fireworks | 17.0B | 33K | ~10.20 | ~30.60 |
V
T
I
A
J
|
Inferred |
|
Qwen3 Embedding 8b
accounts/fireworks/models/qwen3-embedding-8b |
Fireworks | 5.9B | 41K | ~3.54 | ~10.62 |
V
T
I
A
J
|
Inferred |
|
Qwen3 Reranker 8b
accounts/fireworks/models/qwen3-reranker-8b |
Fireworks | 5.9B | 41K | ~3.54 | ~10.62 |
V
T
I
A
J
|
Inferred |
|
Qwen3p7 Plus
accounts/fireworks/models/qwen3p7-plus |
Fireworks | 5.9B | - | ~3.54 | ~10.62 |
V
T
I
A
J
|
Inferred |
|
Qwen3p8 2p4t A95b
accounts/fireworks/models/qwen3p8-2p4t-a95b |
Fireworks | 7.1B | 262K | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Qwen3p8 Max
accounts/fireworks/models/qwen3p8-max |
Fireworks | 5.9B | - | ~3.54 | ~10.62 |
V
T
I
A
J
|
Inferred |
|
Rune
accounts/fireworks/models/rune |
Fireworks | 7.1B | 262K | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Deepseek V4p1 Flash 1017 Spot
accounts/fireworks/routers/deepseek-v4p1-flash-1017-spot |
Fireworks | 7.1B | 1.0M | ~2.56 | ~7.67 |
V
T
I
A
J
|
Inferred |
|
Deepseek V4p1 Flash Spot
accounts/fireworks/routers/deepseek-v4p1-flash-spot |
Fireworks | 7.1B | 1.0M | ~2.56 | ~7.67 |
V
T
I
A
J
|
Inferred |
|
Glm 5p2 Fast
accounts/fireworks/routers/glm-5p2-fast |
Fireworks | 7.1B | 1.0M | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Glm 5p3 Fast
accounts/fireworks/routers/glm-5p3-fast |
Fireworks | 7.1B | 1.0M | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Glm 5p3 Spot
accounts/fireworks/routers/glm-5p3-spot |
Fireworks | 7.1B | 1.0M | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Kimi K3 Fast
accounts/fireworks/routers/kimi-k3-fast |
Fireworks | 7.1B | 1.0M | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Kimi K3 Spot
accounts/fireworks/routers/kimi-k3-spot |
Fireworks | 7.1B | 1.0M | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Rune
accounts/fireworks/routers/rune |
Fireworks | 7.1B | 262K | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Spot Deepseek V4 Flash
accounts/fireworks/routers/spot-deepseek-v4-flash |
Fireworks | 7.1B | 1.0M | ~2.56 | ~7.67 |
V
T
I
A
J
|
Inferred |
|
AI21: Jamba Large 1.7
ai21/jamba-large-1.7 |
Openrouter | 110.0B | 256K | ~66.00 | ~198.00 |
V
T
I
A
J
|
Inferred |
|
AionLabs: Aion-1.0
aion-labs/aion-1.0 |
Openrouter | 99.0B | 131K | ~59.40 | ~178.20 |
V
T
I
A
J
|
Inferred |
|
AionLabs: Aion-1.0-Mini
aion-labs/aion-1.0-mini |
Openrouter | 32.0B | 131K | ~16.00 | ~48.00 |
V
T
I
A
J
|
Estimated |
|
AionLabs: Aion-2.0
aion-labs/aion-2.0 |
Openrouter | 37.0B | 131K | ~22.20 | ~66.60 |
V
T
I
A
J
|
Inferred |
|
AionLabs: Aion-RP 1.0 (8B)
aion-labs/aion-rp-llama-3.1-8b |
Openrouter | 8.0B | 33K | ~4.00 | ~12.00 |
V
T
I
A
J
|
Estimated |
|
AlfredPros: CodeLLaMa 7B Instruct Solidity
alfredpros/codellama-7b-instruct-solidity |
Openrouter | 7.0B | 4K | ~3.50 | ~10.50 |
V
T
I
A
J
|
Estimated |
|
Tongyi DeepResearch 30B A3B
alibaba/tongyi-deepresearch-30b-a3b |
Openrouter | 30.0B | 131K | ~15.00 | ~45.00 |
V
T
I
A
J
|
Estimated |
|
Tongyi DeepResearch 30B A3B (free)
alibaba/tongyi-deepresearch-30b-a3b:free |
Openrouter | 30.0B | 131K | ~15.00 | ~45.00 |
-
|
Estimated |
|
ALLaM-2-7b
allam-2-7b |
Groq | 7.2B | 4K | ~4.32 | ~12.96 |
V
T
I
A
J
|
Inferred |
|
AllenAI: Molmo2 8B
allenai/molmo-2-8b |
Openrouter | 8.0B | 37K | ~4.80 | ~14.40 |
-
|
Estimated |
|
AllenAI: Olmo 2 32B Instruct
allenai/olmo-2-0325-32b-instruct |
Openrouter | 32.0B | 128K | ~16.00 | ~48.00 |
-
|
Estimated |
|
AllenAI: Olmo 3 32B Think
allenai/olmo-3-32b-think |
Openrouter | 32.0B | 66K | ~19.20 | ~57.60 |
V
T
I
A
J
|
Estimated |
|
AllenAI: Olmo 3 32B Think (free)
allenai/olmo-3-32b-think:free |
Openrouter | 32.0B | 66K | ~16.00 | ~48.00 |
-
|
Estimated |
|
AllenAI: Olmo 3 7B Instruct
allenai/olmo-3-7b-instruct |
Openrouter | 7.0B | 66K | ~4.20 | ~12.60 |
-
|
Estimated |
|
AllenAI: Olmo 3 7B Think
allenai/olmo-3-7b-think |
Openrouter | 7.0B | 66K | ~4.20 | ~12.60 |
-
|
Estimated |
|
AllenAI: Olmo 3.1 32B Instruct
allenai/olmo-3.1-32b-instruct |
Openrouter | 32.0B | 66K | ~16.00 | ~48.00 |
V
T
I
A
J
|
Estimated |
|
AllenAI: Olmo 3.1 32B Think
allenai/olmo-3.1-32b-think |
Openrouter | 32.0B | 66K | ~16.00 | ~48.00 |
-
|
Estimated |
|
AllenAI: Olmo 3.1 32B Think (free)
allenai/olmo-3.1-32b-think:free |
Openrouter | 32.0B | 66K | ~16.00 | ~48.00 |
-
|
Estimated |
|
Goliath 120B
alpindale/goliath-120b |
Openrouter | 70.0B | 6K | ~35.00 | ~105.00 |
V
T
I
A
J
|
Estimated |
|
Amazon: Nova 2 Lite
amazon/nova-2-lite-v1 |
Openrouter | 53.0B | 1.0M | ~31.80 | ~95.40 |
V
T
I
A
J
|
Inferred |
|
Amazon: Nova Lite 1.0
amazon/nova-lite-v1 |
Openrouter | 20.0B | 300K | ~14.40 | ~43.20 |
V
T
I
A
J
|
Estimated |
|
Nova Lite
amazon/nova-lite-v1:0 |
Bedrock | 3.6B | 300K | ~2.16 | ~6.48 |
V
T
I
A
J
|
Inferred |
|
Amazon: Nova Micro 1.0
amazon/nova-micro-v1 |
Openrouter | 8.0B | 128K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
|
Nova Micro
amazon/nova-micro-v1:0 |
Bedrock | 2.2B | 128K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Amazon: Nova Premier 1.0
amazon/nova-premier-v1 |
Openrouter | 170.0B | 1.0M | ~102.00 | ~306.00 |
V
T
I
A
J
|
Inferred |
|
Amazon: Nova Pro 1.0
amazon/nova-pro-v1 |
Openrouter | 50.0B | 300K | ~36.00 | ~108.00 |
V
T
I
A
J
|
Estimated |
|
Nova Pro
amazon/nova-pro-v1:0 |
Bedrock | 62.0B | 300K | ~37.20 | ~111.60 |
V
T
I
A
J
|
Inferred |
|
Magnum v4 72B
anthracite-org/magnum-v4-72b |
Openrouter | 72.0B | 16K | ~36.00 | ~108.00 |
V
T
I
A
J
|
Estimated |
|
Claude 3.5 Haiku (Bedrock)
anthropic/claude-3-5-haiku-20241022-v1:0 |
Bedrock | 68.0B | 200K | ~40.80 | ~122.40 |
V
T
|
Inferred |
|
Claude 3.5 Sonnet v2 (Bedrock)
anthropic/claude-3-5-sonnet-20241022-v2:0 |
Bedrock | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
|
Inferred |
|
Claude 3.7 Sonnet (Bedrock)
anthropic/claude-3-7-sonnet-20250219-v1:0 |
Bedrock | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
|
Inferred |
|
Anthropic: Claude 3 Haiku
anthropic/claude-3-haiku |
Openrouter | 20.0B | 200K | ~14.40 | ~43.20 |
V
T
I
A
J
|
Estimated |
|
Anthropic: Claude 3 Opus
anthropic/claude-3-opus |
Openrouter | 175.0B | 200K | ~126.00 | ~378.00 |
-
|
Estimated |
|
Anthropic: Claude 3.5 Haiku
anthropic/claude-3.5-haiku |
Redpill | 20.0B | 200K | ~14.40 | ~43.20 |
V
T
I
A
J
|
Estimated |
|
Anthropic: Claude 3.5 Haiku (2024-10-22)
anthropic/claude-3.5-haiku-20241022 |
Openrouter | 20.0B | 200K | ~14.40 | ~43.20 |
-
|
Estimated |
|
Anthropic: Claude 3.5 Sonnet
anthropic/claude-3.5-sonnet |
Openrouter | 175.0B | 200K | ~84.00 | ~252.00 |
-
|
Research |
|
Anthropic: Claude 3.7 Sonnet
anthropic/claude-3.7-sonnet |
Openrouter | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
|
Anthropic: Claude 3.7 Sonnet (thinking)
anthropic/claude-3.7-sonnet:thinking |
Openrouter | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
|
Claude Fable 5
anthropic/claude-fable-5 |
Deepinfra | 640.0B | 1.0M | ~384.00 | ~1,152.00 |
V
T
I
A
J
|
Inferred |
|
Claude Haiku 4 5
anthropic/claude-haiku-4-5 |
Deepinfra | 76.0B | 200K | ~45.60 | ~136.80 |
V
T
I
A
J
|
Inferred |
|
Anthropic: Claude Haiku 4.5
anthropic/claude-haiku-4.5 |
Redpill | 76.0B | 200K | ~45.60 | ~136.80 |
V
T
I
A
J
|
Inferred |
|
Anthropic: Claude Opus 4
anthropic/claude-opus-4 |
Redpill | 800.0B | 200K | ~480.00 | ~1,440.00 |
V
T
I
A
J
|
Inferred |
|
Claude Opus 4 (Bedrock)
anthropic/claude-opus-4-20250514-v1:0 |
Bedrock | 800.0B | 200K | ~480.00 | ~1,440.00 |
V
T
|
Inferred |
|
Claude Opus 4 7
anthropic/claude-opus-4-7 |
Deepinfra | 400.0B | 1.0M | ~240.00 | ~720.00 |
V
T
I
A
J
|
Inferred |
|
Claude Opus 4 8
anthropic/claude-opus-4-8 |
Deepinfra | 400.0B | 1.0M | ~240.00 | ~720.00 |
V
T
I
A
J
|
Inferred |
|
Anthropic: Claude Opus 4.1
anthropic/claude-opus-4.1 |
Openrouter | 800.0B | 200K | ~480.00 | ~1,440.00 |
V
T
I
A
J
|
Inferred |
|
Anthropic: Claude Opus 4.5
anthropic/claude-opus-4.5 |
Openrouter | 400.0B | 200K | ~240.00 | ~720.00 |
V
T
I
A
J
|
Inferred |
|
Anthropic: Claude Opus 4.6
anthropic/claude-opus-4.6 |
Openrouter | 400.0B | 1.0M | ~240.00 | ~720.00 |
V
T
I
A
J
|
Inferred |
|
Anthropic: Claude Opus 4.6 (Fast)
anthropic/claude-opus-4.6-fast |
Openrouter | 1,140.0B | 1.0M | ~684.00 | ~2,052.00 |
V
T
I
A
J
|
Inferred |
|
Anthropic: Claude Opus 4.7
anthropic/claude-opus-4.7 |
Redpill | 400.0B | 1.0M | ~240.00 | ~720.00 |
V
T
I
A
J
|
Inferred |
|
Anthropic: Claude Opus 4.8
anthropic/claude-opus-4.8 |
Redpill | 400.0B | 1.0M | ~240.00 | ~720.00 |
V
T
I
A
J
|
Inferred |
|
Claude Opus 5
anthropic/claude-opus-5 |
Deepinfra | 400.0B | 1.0M | ~240.00 | ~720.00 |
V
T
I
A
J
|
Inferred |
|
Claude Opus 5 5
anthropic/claude-opus-5-5 |
Deepinfra | 320.0B | 1.0M | ~192.00 | ~576.00 |
V
T
I
A
J
|
Inferred |
|
Anthropic: Claude Sonnet 4
anthropic/claude-sonnet-4 |
Redpill | 240.0B | 1.0M | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
|
Claude Sonnet 4 (Bedrock)
anthropic/claude-sonnet-4-20250514-v1:0 |
Bedrock | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
|
Inferred |
|
Claude Sonnet 4 6
anthropic/claude-sonnet-4-6 |
Deepinfra | 240.0B | 1.0M | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
|
Anthropic: Claude Sonnet 4.5
anthropic/claude-sonnet-4.5 |
Openrouter | 240.0B | 1.0M | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
|
Anthropic: Claude Sonnet 4.6
anthropic/claude-sonnet-4.6 |
Openrouter | 240.0B | 1.0M | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
|
Claude Sonnet 5
anthropic/claude-sonnet-5 |
Deepinfra | 240.0B | 1.0M | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
|
Claude Sonnet 5 5
anthropic/claude-sonnet-5-5 |
Deepinfra | 140.0B | 1.0M | ~84.00 | ~252.00 |
V
T
I
A
J
|
Inferred |
|
Arcee AI: Coder Large
arcee-ai/coder-large |
Openrouter | 14.0B | 33K | ~8.40 | ~25.20 |
V
T
I
A
J
|
Inferred |
|
Arcee AI: Maestro Reasoning
arcee-ai/maestro-reasoning |
Openrouter | 57.0B | 131K | ~34.20 | ~102.60 |
V
T
I
A
J
|
Inferred |
|
Arcee AI: Spotlight
arcee-ai/spotlight |
Openrouter | 14.0B | 131K | ~8.40 | ~25.20 |
V
T
I
A
J
|
Estimated |
|
Arcee AI: Trinity Large Preview (free)
arcee-ai/trinity-large-preview:free |
Openrouter | 400.0B | 131K | ~200.00 | ~600.00 |
V
T
I
A
J
|
Estimated |
|
Arcee AI: Trinity Large Thinking
arcee-ai/trinity-large-thinking |
Openrouter | 19.0B | 262K | ~11.40 | ~34.20 |
V
T
I
A
J
|
Inferred |
|
Arcee AI: Trinity Mini
arcee-ai/trinity-mini |
Openrouter | 26.0B | 131K | ~13.00 | ~39.00 |
V
T
I
A
J
|
Estimated |
|
Arcee AI: Trinity Mini (free)
arcee-ai/trinity-mini:free |
Openrouter | 26.0B | 131K | ~13.00 | ~39.00 |
-
|
Estimated |
|
Arcee AI: Virtuoso Large
arcee-ai/virtuoso-large |
Openrouter | 27.0B | 131K | ~16.20 | ~48.60 |
V
T
I
A
J
|
Inferred |
|
ArliAI: QwQ 32B RpR v1
arliai/qwq-32b-arliai-rpr-v1 |
Openrouter | 32.0B | 33K | ~16.00 | ~48.00 |
-
|
Estimated |
|
Auto
auto |
Fireworks | 5.9B | - | ~3.54 | ~10.62 |
V
T
I
A
J
|
Inferred |
|
Babbage 002
babbage-002 |
Openai | 4.8B | - | ~2.40 | ~7.20 |
-
|
Inferred |
|
Baidu: ERNIE 4.5 21B A3B
baidu/ernie-4.5-21b-a3b |
Openrouter | 21.0B | 120K | ~6.30 | ~18.90 |
V
T
I
A
J
|
Estimated |
|
Baidu: ERNIE 4.5 21B A3B Thinking
baidu/ernie-4.5-21b-a3b-thinking |
Openrouter | 21.0B | 131K | ~6.30 | ~18.90 |
V
T
I
A
J
|
Estimated |
|
Baidu: ERNIE 4.5 300B A47B
baidu/ernie-4.5-300b-a47b |
Openrouter | 300.0B | 123K | ~90.00 | ~270.00 |
V
T
I
A
J
|
Estimated |
|
Baidu: ERNIE 4.5 VL 28B A3B
baidu/ernie-4.5-vl-28b-a3b |
Openrouter | 28.0B | 30K | ~10.08 | ~30.24 |
V
T
I
A
J
|
Estimated |
|
Baidu: ERNIE 4.5 VL 424B A47B
baidu/ernie-4.5-vl-424b-a47b |
Openrouter | 424.0B | 123K | ~152.64 | ~457.92 |
V
T
I
A
J
|
Estimated |
|
ByteDance Seed: Seed 1.6
bytedance-seed/seed-1.6 |
Openrouter | 1.6B | 262K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
|
ByteDance Seed: Seed 1.6 Flash
bytedance-seed/seed-1.6-flash |
Openrouter | 4.4B | 262K | ~2.64 | ~7.92 |
V
T
I
A
J
|
Inferred |
|
ByteDance Seed: Seed-2.0-Lite
bytedance-seed/seed-2.0-lite |
Openrouter | 46.0B | 262K | ~27.60 | ~82.80 |
V
T
I
A
J
|
Inferred |
|
ByteDance Seed: Seed-2.0-Mini
bytedance-seed/seed-2.0-mini |
Openrouter | 5.7B | 262K | ~3.42 | ~10.26 |
V
T
I
A
J
|
Inferred |
|
ByteDance: UI-TARS 7B
bytedance/ui-tars-1.5-7b |
Openrouter | 72.0B | 128K | ~43.20 | ~129.60 |
V
T
I
A
J
|
Estimated |
|
Canopy Labs Orpheus Arabic Saudi
canopylabs/orpheus-arabic-saudi |
Groq | 7.2B | 4K | ~4.32 | ~12.96 |
V
T
I
A
J
|
Inferred |
|
Canopy Labs Orpheus V1 English
canopylabs/orpheus-v1-english |
Groq | 7.2B | 4K | ~4.32 | ~12.96 |
V
T
I
A
J
|
Inferred |
| chatgpt-4o-latest | Openai | 220.0B | 128K | ~132.00 | ~396.00 |
V
T
I
A
J
|
Inferred |
| chatgpt-image-latest | Openai | 220.0B | 128K | ~132.00 | ~396.00 |
V
T
I
A
J
|
Inferred |
|
Claude 2.0
claude-2.0 |
Anthropic | 380.0B | 200K | ~228.00 | ~684.00 |
V
T
I
A
J
|
Inferred |
|
Claude 2.1
claude-2.1 |
Anthropic | 380.0B | 200K | ~228.00 | ~684.00 |
V
T
I
A
J
|
Inferred |
|
Claude 3.5 Haiku
claude-3-5-haiku |
Anthropic | 68.0B | 200K | ~40.80 | ~122.40 |
V
T
I
A
J
|
Inferred |
|
Claude 3.5 Haiku
claude-3-5-haiku-20241022 |
Anthropic | 20.0B | 200K | ~14.40 | ~43.20 |
V
T
I
A
J
|
Estimated |
|
Claude 3.5 Haiku Latest
claude-3-5-haiku-latest |
Anthropic | 20.0B | 200K | ~14.40 | ~43.20 |
V
T
I
A
J
|
Estimated |
|
Claude 3.5 Sonnet
claude-3-5-sonnet |
Anthropic | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
|
Claude 3.5 Sonnet
claude-3-5-sonnet-20240620 |
Anthropic | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
|
Claude 3.5 Sonnet
claude-3-5-sonnet-20241022 |
Anthropic | 175.0B | 200K | ~126.00 | ~378.00 |
V
T
I
A
J
|
Estimated |
|
Claude 3.5 Sonnet Latest
claude-3-5-sonnet-latest |
Anthropic | 175.0B | 200K | ~126.00 | ~378.00 |
V
T
I
A
J
|
Estimated |
|
Claude 3.7 Sonnet
claude-3-7-sonnet |
Anthropic | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
|
Claude 3.7 Sonnet
claude-3-7-sonnet-20250219 |
Anthropic | 175.0B | 200K | ~126.00 | ~378.00 |
V
T
I
A
J
|
Estimated |
|
Claude 3 Haiku
claude-3-haiku |
Anthropic | 31.0B | 200K | ~18.60 | ~55.80 |
V
T
I
A
J
|
Inferred |
|
Claude 3 Haiku
claude-3-haiku-20240307 |
Anthropic | 20.0B | 200K | ~14.40 | ~43.20 |
V
T
I
A
J
|
Estimated |
|
Claude 3 Opus
claude-3-opus |
Anthropic | 800.0B | 200K | ~480.00 | ~1,440.00 |
V
T
I
A
J
|
Inferred |
|
Claude 3 Opus
claude-3-opus-20240229 |
Anthropic | 175.0B | 200K | ~126.00 | ~378.00 |
V
T
I
A
J
|
Estimated |
|
Claude 3 Opus Latest
claude-3-opus-latest |
Anthropic | 175.0B | 200K | ~126.00 | ~378.00 |
V
T
I
A
J
|
Estimated |
|
Claude 3 Sonnet
claude-3-sonnet |
Anthropic | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
|
Claude 3 Sonnet
claude-3-sonnet-20240229 |
Anthropic | 70.0B | 200K | ~50.40 | ~151.20 |
V
T
I
A
J
|
Estimated |
|
Claude Haiku 4
claude-haiku-4 |
Anthropic | 68.0B | 200K | ~40.80 | ~122.40 |
V
T
I
A
J
|
Inferred |
|
Claude Haiku 4.1
claude-haiku-4-1 |
Anthropic | 68.0B | 200K | ~40.80 | ~122.40 |
V
T
I
A
J
|
Inferred |
|
Claude Haiku 4.5
claude-haiku-4-5-20251001 |
Anthropic | 4.5B | - | ~2.70 | ~8.10 |
-
|
Estimated |
|
Claude Instant 1.2
claude-instant-1.2 |
Anthropic | 43.0B | 100K | ~25.80 | ~77.40 |
V
T
I
A
J
|
Inferred |
|
Claude Opus 4
claude-opus-4 |
Anthropic | 400.0B | 200K | ~240.00 | ~720.00 |
V
T
I
A
J
|
Inferred |
|
Claude Opus 4.1
claude-opus-4-1 |
Anthropic | 400.0B | 200K | ~240.00 | ~720.00 |
V
T
I
A
J
|
Inferred |
|
Claude Opus 4.1
claude-opus-4-1-20250805 |
Anthropic | 200.0B | - | ~120.00 | ~360.00 |
-
|
Estimated |
|
Claude Opus 4
claude-opus-4-20250514 |
Anthropic | 200.0B | 200K | ~120.00 | ~360.00 |
V
T
I
A
J
|
Estimated |
|
Claude Opus 4.5
claude-opus-4-5 |
Anthropic | 400.0B | 200K | ~240.00 | ~720.00 |
V
T
I
A
J
|
Inferred |
|
Claude Opus 4.5
claude-opus-4-5-20251101 |
Anthropic | 200.0B | 200K | ~120.00 | ~360.00 |
V
T
I
A
J
|
Estimated |
|
Claude Opus 4.6
claude-opus-4-6 |
Anthropic | 400.0B | 200K | ~240.00 | ~720.00 |
V
T
I
A
J
|
Inferred |
|
Claude Sonnet 4
claude-sonnet-4 |
Anthropic | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
|
Claude Sonnet 4
claude-sonnet-4-20250514 |
Anthropic | 175.0B | 200K | ~105.00 | ~315.00 |
V
T
I
A
J
|
Estimated |
|
Claude Sonnet 4.5
claude-sonnet-4-5 |
Anthropic | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
|
Claude Sonnet 4.5
claude-sonnet-4-5-20250514 |
Anthropic | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
|
Claude Sonnet 4.5
claude-sonnet-4-5-20250929 |
Anthropic | 175.0B | - | ~105.00 | ~315.00 |
-
|
Estimated |
| codellama:13b | Ollama | 13.0B | - | ~7.80 | ~23.40 |
-
|
Estimated |
| codellama:34b | Ollama | 34.0B | - | ~20.40 | ~61.20 |
-
|
Estimated |
| codellama:7b | Ollama | 7.0B | - | ~4.20 | ~12.60 |
-
|
Estimated |
| codestral-2508 | Mistral | 20.0B | 256K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Inferred |
| codestral-embed | Mistral | 20.0B | 256K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Inferred |
|
codestral-embed
codestral-embed-2505 |
Mistral | 20.0B | 256K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Inferred |
|
codestral-2508
codestral-latest |
Mistral | 20.0B | 256K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Inferred |
|
Codestral Mamba
codestral-mamba |
Mistral | 7.0B | - | ~4.20 | ~12.60 |
-
|
Estimated |
|
Codestral Mamba Latest
codestral-mamba-latest |
Mistral | 3.7B | 256K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
| codex-mini-latest | Openai | 84.0B | 200K | ~42.00 | ~126.00 |
-
|
Inferred |
|
Venice: Uncensored
cognitivecomputations/dolphin-mistral-24b-venice-edition |
Openrouter | 24.0B | 128K | ~12.00 | ~36.00 |
-
|
Estimated |
|
Venice: Uncensored (free)
cognitivecomputations/dolphin-mistral-24b-venice-edition:free |
Openrouter | 24.0B | 33K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Estimated |
|
Cohere: Command A
cohere/command-a |
Openrouter | 111.0B | 256K | ~55.50 | ~166.50 |
V
T
I
A
J
|
Estimated |
|
Cohere: Command R (08-2024)
cohere/command-r-08-2024 |
Openrouter | 35.0B | 128K | ~21.00 | ~63.00 |
V
T
I
A
J
|
Estimated |
|
Cohere: Command R+ (08-2024)
cohere/command-r-plus-08-2024 |
Openrouter | 120.0B | 128K | ~72.00 | ~216.00 |
V
T
I
A
J
|
Inferred |
|
Cohere Command R+ (Bedrock)
cohere/command-r-plus-v1:0 |
Bedrock | 220.0B | 128K | ~110.00 | ~330.00 |
T
|
Inferred |
|
Cohere: Command R7B (12-2024)
cohere/command-r7b-12-2024 |
Openrouter | 7.0B | 128K | ~3.50 | ~10.50 |
V
T
I
A
J
|
Estimated |
|
Cohere: North Mini Code (free)
cohere/north-mini-code:free |
Openrouter | 30.0B | 256K | ~15.00 | ~45.00 |
-
|
Estimated |
|
Command
command |
Cohere | 34.0B | 4K | ~20.40 | ~61.20 |
V
T
I
A
J
|
Inferred |
|
Command A
command-a |
Cohere | 76.0B | 256K | ~45.60 | ~136.80 |
V
T
I
A
J
|
Inferred |
| command-a-03-2025 | Cohere | 76.0B | 288K | ~45.60 | ~136.80 |
V
T
I
A
J
|
Inferred |
| command-a-plus-05-2026 | Cohere | 76.0B | 436K | ~45.60 | ~136.80 |
V
T
I
A
J
|
Inferred |
| command-a-reasoning-08-2025 | Cohere | 76.0B | 289K | ~45.60 | ~136.80 |
V
T
I
A
J
|
Inferred |
| command-a-translate-08-2025 | Cohere | 63.0B | 9K | ~37.80 | ~113.40 |
V
T
I
A
J
|
Inferred |
| command-a-vision-07-2025 | Cohere | 70.0B | 128K | ~42.00 | ~126.00 |
V
T
I
A
J
|
Inferred |
|
Command Light
command-light |
Cohere | 7.2B | 4K | ~4.32 | ~12.96 |
V
T
I
A
J
|
Inferred |
|
Command Light Nightly
command-light-nightly |
Cohere | 8.0B | 8K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Inferred |
|
Command Nightly
command-nightly |
Cohere | 38.0B | 8K | ~22.80 | ~68.40 |
V
T
I
A
J
|
Inferred |
|
Command R
command-r |
Cohere | 35.0B | 128K | ~21.00 | ~63.00 |
V
T
I
A
J
|
Inferred |
|
Command R 03 2024
command-r-03-2024 |
Cohere | 35.0B | 128K | ~21.00 | ~63.00 |
V
T
I
A
J
|
Inferred |
| command-r-08-2024 | Cohere | 2.2B | 128K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Command R Plus
command-r-plus |
Cohere | 120.0B | 128K | ~72.00 | ~216.00 |
V
T
I
A
J
|
Inferred |
|
Command R Plus 04 2024
command-r-plus-04-2024 |
Cohere | 220.0B | 128K | ~132.00 | ~396.00 |
V
T
I
A
J
|
Inferred |
| command-r-plus-08-2024 | Cohere | 120.0B | 128K | ~72.00 | ~216.00 |
V
T
I
A
J
|
Inferred |
| dall-e-2 | Openai | 3.5B | - | ~2.52 | ~7.56 |
V
T
I
A
J
|
Estimated |
| dall-e-3 | Openai | 12.0B | - | ~8.64 | ~25.92 |
V
T
I
A
J
|
Estimated |
|
dbrx-instruct
databricks/dbrx-instruct |
Together | 25.0B | 33K | ~15.00 | ~45.00 |
V
T
I
A
J
|
Inferred |
|
Davinci 002
davinci-002 |
Openai | 38.0B | - | ~19.00 | ~57.00 |
-
|
Inferred |
|
Cogito V2 Preview Llama 109B
deepcogito/cogito-v2-preview-llama-109b-moe |
Openrouter | 17.0B | 33K | ~10.20 | ~30.60 |
-
|
Estimated |
|
Deep Cogito: Cogito V2 Preview Llama 405B
deepcogito/cogito-v2-preview-llama-405b |
Openrouter | 405.0B | 33K | ~202.50 | ~607.50 |
-
|
Estimated |
|
Deep Cogito: Cogito V2 Preview Llama 70B
deepcogito/cogito-v2-preview-llama-70b |
Openrouter | 70.0B | 33K | ~35.00 | ~105.00 |
-
|
Estimated |
|
Deep Cogito: Cogito v2.1 671B
deepcogito/cogito-v2.1-671b |
Openrouter | 671.0B | 128K | ~201.30 | ~603.90 |
V
T
I
A
J
|
Estimated |
|
DeepSeek-R1
deepseek-ai/DeepSeek-R1 |
Together | 80.0B | 66K | ~28.80 | ~86.40 |
V
T
I
A
J
|
Inferred |
|
DeepSeek R1 0528
deepseek-ai/DeepSeek-R1-0528 |
Deepinfra | 44.0B | 164K | ~15.84 | ~47.52 |
V
T
I
A
J
|
Inferred |
|
DeepSeek-R1-Distill-Llama-70B
deepseek-ai/DeepSeek-R1-Distill-Llama-70B |
Together | 6.1B | 66K | ~2.20 | ~6.59 |
V
T
I
A
J
|
Inferred |
|
DeepSeek V3
deepseek-ai/DeepSeek-V3 |
Deepinfra | 18.0B | 164K | ~6.48 | ~19.44 |
V
T
I
A
J
|
Inferred |
|
DeepSeek V3.1
deepseek-ai/DeepSeek-V3.1 |
Deepinfra | 20.0B | 164K | ~7.20 | ~21.60 |
V
T
I
A
J
|
Inferred |
|
DeepSeek V3.2
deepseek-ai/DeepSeek-V3.2 |
Deepinfra | 5.0B | 164K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
DeepSeek V4 Flash
deepseek-ai/DeepSeek-V4-Flash |
Deepinfra | 2.4B | 1.0M | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
DeepSeek V4 Flash 0731
deepseek-ai/DeepSeek-V4-Flash-0731 |
Deepinfra | 2.4B | 1.0M | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
DeepSeek V4 Flash Vision Exp
deepseek-ai/DeepSeek-V4-Flash-Vision-Exp |
Deepinfra | 33.0B | 1.0M | ~11.88 | ~35.64 |
V
T
I
A
J
|
Inferred |
|
DeepSeek V4 Pro
deepseek-ai/DeepSeek-V4-Pro |
Deepinfra | 54.0B | 1.0M | ~19.44 | ~58.32 |
V
T
I
A
J
|
Inferred |
|
DeepSeek V4 Pro 0813
deepseek-ai/DeepSeek-V4-Pro-0813 |
Deepinfra | 54.0B | 1.0M | ~19.44 | ~58.32 |
V
T
I
A
J
|
Inferred |
|
DeepSeek V4.1 Flash
deepseek-ai/DeepSeek-V4.1-Flash |
Deepinfra | 9.6B | 1.0M | ~3.46 | ~10.37 |
V
T
I
A
J
|
Inferred |
|
DeepSeek V4.1 Flash 1017
deepseek-ai/DeepSeek-V4.1-Flash-1017 |
Deepinfra | 9.6B | 1.0M | ~3.46 | ~10.37 |
V
T
I
A
J
|
Inferred |
|
DeepSeek Deepseek Chat
deepseek-chat |
Deepseek | 671.0B | 64K | ~201.30 | ~603.90 |
V
T
I
A
J
|
Estimated |
|
DeepSeek Deepseek Coder
deepseek-coder |
Deepseek | 3.8B | 128K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
| deepseek-coder:33b | Ollama | 33.0B | - | ~19.80 | ~59.40 |
-
|
Estimated |
| deepseek-coder:6.7b | Ollama | 6.7B | - | ~4.02 | ~12.06 |
-
|
Estimated |
|
DeepSeek Deepseek Lite
deepseek-lite |
Deepseek | 3.4B | 32K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Deepseek R1 Distill Llama 70b
deepseek-r1-distill-llama-70b |
Groq | 14.0B | 33K | ~5.04 | ~15.12 |
V
T
I
A
J
|
Inferred |
|
DeepSeek Deepseek Reasoner
deepseek-reasoner |
Deepseek | 671.0B | 64K | ~201.30 | ~603.90 |
V
T
I
A
J
|
Estimated |
|
DeepSeek Deepseek V2
deepseek-v2 |
Deepseek | 22.0B | 64K | ~7.92 | ~23.76 |
V
T
I
A
J
|
Inferred |
|
DeepSeek Deepseek V2.5
deepseek-v2.5 |
Deepseek | 22.0B | 64K | ~7.92 | ~23.76 |
V
T
I
A
J
|
Inferred |
|
DeepSeek: DeepSeek V3
deepseek/deepseek-chat |
Openrouter | 671.0B | 164K | ~201.30 | ~603.90 |
V
T
I
A
J
|
Estimated |
|
DeepSeek: DeepSeek V3 0324
deepseek/deepseek-chat-v3-0324 |
Openrouter | 685.0B | 164K | ~342.50 | ~1,027.50 |
V
T
I
A
J
|
Estimated |
|
DeepSeek V3.1
deepseek/deepseek-chat-v3.1 |
Redpill | 48.0B | 164K | ~17.28 | ~51.84 |
V
T
I
A
J
|
Inferred |
|
DeepSeek: DeepSeek Prover V2
deepseek/deepseek-prover-v2 |
Openrouter | 671.0B | 164K | ~335.50 | ~1,006.50 |
-
|
Estimated |
|
DeepSeek: R1
deepseek/deepseek-r1 |
Openrouter | 671.0B | 64K | ~201.30 | ~603.90 |
V
T
I
A
J
|
Estimated |
|
DeepSeek: R1 0528
deepseek/deepseek-r1-0528 |
Redpill | 42.0B | 164K | ~15.12 | ~45.36 |
V
T
I
A
J
|
Inferred |
|
DeepSeek: DeepSeek R1 0528 Qwen3 8B
deepseek/deepseek-r1-0528-qwen3-8b |
Openrouter | 8.0B | 33K | ~4.00 | ~12.00 |
-
|
Estimated |
|
DeepSeek: R1 0528 (free)
deepseek/deepseek-r1-0528:free |
Openrouter | 671.0B | 164K | ~201.30 | ~603.90 |
-
|
Estimated |
|
DeepSeek: R1 Distill Llama 70B
deepseek/deepseek-r1-distill-llama-70b |
Openrouter | 70.0B | 131K | ~42.00 | ~126.00 |
V
T
I
A
J
|
Estimated |
|
DeepSeek: R1 Distill Qwen 14B
deepseek/deepseek-r1-distill-qwen-14b |
Openrouter | 14.0B | 33K | ~8.40 | ~25.20 |
-
|
Estimated |
|
DeepSeek: R1 Distill Qwen 32B
deepseek/deepseek-r1-distill-qwen-32b |
Openrouter | 32.0B | 33K | ~19.20 | ~57.60 |
V
T
I
A
J
|
Estimated |
|
DeepSeek: DeepSeek V3.1 Terminus
deepseek/deepseek-v3.1-terminus |
Openrouter | 671.0B | 164K | ~335.50 | ~1,006.50 |
V
T
I
A
J
|
Estimated |
|
DeepSeek: DeepSeek V3.1 Terminus (exacto)
deepseek/deepseek-v3.1-terminus:exacto |
Openrouter | 671.0B | 164K | ~335.50 | ~1,006.50 |
-
|
Estimated |
|
DeepSeek: DeepSeek V3.2
deepseek/deepseek-v3.2 |
Openrouter | 5.0B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
DeepSeek: DeepSeek V3.2 Exp
deepseek/deepseek-v3.2-exp |
Openrouter | 671.0B | 164K | ~201.30 | ~603.90 |
V
T
I
A
J
|
Estimated |
|
DeepSeek: DeepSeek V3.2 Speciale
deepseek/deepseek-v3.2-speciale |
Openrouter | 27.0B | 164K | ~9.72 | ~29.16 |
V
T
I
A
J
|
Inferred |
|
DeepSeek: DeepSeek V4 Flash 0423
deepseek/deepseek-v4-flash |
Openrouter | 284.0B | 1.0M | ~142.00 | ~426.00 |
-
|
Estimated |
|
DeepSeek: DeepSeek V4 Flash 0731
deepseek/deepseek-v4-flash-0731 |
Redpill | 13.0B | 1.0M | ~6.50 | ~19.50 |
V
T
I
A
J
|
Estimated |
|
DeepSeek: DeepSeek V4 Pro 0423
deepseek/deepseek-v4-pro |
Openrouter | 49.0B | 1.0M | ~24.50 | ~73.50 |
-
|
Estimated |
|
DeepSeek: DeepSeek V4 Pro 0813
deepseek/deepseek-v4-pro-0813 |
Redpill | 71.0B | 1.0M | ~25.56 | ~76.68 |
V
T
I
A
J
|
Inferred |
|
DeepSeek: DeepSeek V4.1 Flash
deepseek/deepseek-v4.1-flash |
Redpill | 8.0B | 1.0M | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
|
DeepSeek: DeepSeek V4.1 Flash 1017
deepseek/deepseek-v4.1-flash-1017 |
Redpill | 30.0B | 1.0M | ~10.80 | ~32.40 |
V
T
I
A
J
|
Inferred |
|
DeepSeek: DeepSeek V4.1 Flash (batch)
deepseek/deepseek-v4.1-flash:batch |
Openrouter | 8.0B | 1.0M | ~4.80 | ~14.40 |
-
|
Estimated |
|
Devstral 2
devstral-2 |
Mistral | 2.2B | 128K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
| devstral-2512 | Mistral | 2.2B | 128K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
devstral-2512
devstral-latest |
Mistral | 4.0B | 128K | ~2.40 | ~7.20 |
V
T
I
A
J
|
Inferred |
|
Devstral Medium
devstral-medium |
Mistral | 42.0B | 128K | ~25.20 | ~75.60 |
V
T
I
A
J
|
Inferred |
| devstral-medium-2507 | Mistral | 42.0B | 128K | ~25.20 | ~75.60 |
V
T
I
A
J
|
Inferred |
|
devstral-2512
devstral-medium-latest |
Mistral | 42.0B | 128K | ~25.20 | ~75.60 |
V
T
I
A
J
|
Inferred |
|
Devstral Small
devstral-small |
Mistral | 4.0B | 128K | ~2.40 | ~7.20 |
V
T
I
A
J
|
Inferred |
| devstral-small-2507 | Mistral | 4.0B | 128K | ~2.40 | ~7.20 |
V
T
I
A
J
|
Inferred |
|
labs-devstral-small-2512
devstral-small-latest |
Mistral | 4.0B | 128K | ~2.40 | ~7.20 |
V
T
I
A
J
|
Inferred |
|
Distil Whisper Large V3 En
distil-whisper-large-v3-en |
Groq | 2.0B | - | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Dots Studio: Dots3-Note Preview (free)
dots-studio/dots-3-note-preview:free |
Openrouter | 16.0B | 512K | ~9.60 | ~28.80 |
-
|
Estimated |
|
EleutherAI: Llemma 7b
eleutherai/llemma_7b |
Openrouter | 7.0B | 4K | ~3.50 | ~10.50 |
-
|
Estimated |
| embed-english-light-v3.0 | Cohere | 3.3B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
| embed-english-v3.0 | Cohere | 3.3B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
| embed-multilingual-light-v3.0 | Cohere | 3.3B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
| embed-multilingual-v3.0 | Cohere | 3.3B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Embedding 001
embedding-001 |
1.8B | 2K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred | |
|
EssentialAI: Rnj 1 Instruct
essentialai/rnj-1-instruct |
Openrouter | 8.0B | 33K | ~4.00 | ~12.00 |
V
T
I
A
J
|
Estimated |
|
Auto
firerouter/auto |
Fireworks | 5.9B | - | ~3.54 | ~10.62 |
V
T
I
A
J
|
Inferred |
|
Gemini 1.0 Pro
gemini-1.0-pro |
32.0B | 32K | ~11.52 | ~34.56 |
V
T
I
A
J
|
Inferred | |
|
Gemini 1.5 Flash
gemini-1.5-flash |
4.4B | 1.0M | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred | |
|
Gemini 1.5 Flash 8b
gemini-1.5-flash-8b |
2.4B | 1.0M | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred | |
|
Gemini 1.5 Flash Latest
gemini-1.5-flash-latest |
4.4B | 1.0M | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred | |
|
Gemini 1.5 Pro
gemini-1.5-pro |
76.0B | 2.0M | ~27.36 | ~82.08 |
V
T
I
A
J
|
Inferred | |
|
Gemini 1.5 Pro Latest
gemini-1.5-pro-latest |
76.0B | 2.0M | ~27.36 | ~82.08 |
V
T
I
A
J
|
Inferred | |
|
Gemini 2.0 Flash
gemini-2.0-flash |
8.0B | 1.0M | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated | |
|
Gemini 2.0 Flash 001
gemini-2.0-flash-001 |
8.0B | 1.0M | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated | |
|
Gemini 2.0 Flash Exp
gemini-2.0-flash-exp |
50.0B | 1.0M | ~18.00 | ~54.00 |
V
T
I
A
J
|
Estimated | |
|
Gemini 2.0 Flash-Lite
gemini-2.0-flash-lite |
8.0B | 1.0M | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated | |
|
Gemini 2.0 Flash-Lite 001
gemini-2.0-flash-lite-001 |
8.0B | 1.0M | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated | |
|
Gemini 2.0 Flash Thinking Exp
gemini-2.0-flash-thinking-exp |
50.0B | - | ~18.00 | ~54.00 |
-
|
Estimated | |
|
Gemini 2.5 Flash
gemini-2.5-flash |
8.0B | 1.0M | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated | |
|
Nano Banana
gemini-2.5-flash-image |
50.0B | 33K | ~18.00 | ~54.00 |
V
T
I
A
J
|
Inferred | |
|
Gemini 2.5 Flash-Lite
gemini-2.5-flash-lite |
8.0B | 1.0M | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated | |
|
Gemini 2.5 Flash-Lite Preview Sep 2025
gemini-2.5-flash-lite-preview-09-2025 |
60.0B | 1.0M | ~21.60 | ~64.80 |
V
T
I
A
J
|
Inferred | |
|
Gemini 2.5 Flash Native Audio Latest
gemini-2.5-flash-native-audio-latest |
55.0B | 131K | ~19.80 | ~59.40 |
V
T
I
A
J
|
Inferred | |
|
Gemini 2.5 Flash Native Audio Preview 09-2025
gemini-2.5-flash-native-audio-preview-09-2025 |
55.0B | 131K | ~19.80 | ~59.40 |
V
T
I
A
J
|
Inferred | |
|
Gemini 2.5 Flash Native Audio Preview 12-2025
gemini-2.5-flash-native-audio-preview-12-2025 |
55.0B | 131K | ~19.80 | ~59.40 |
V
T
I
A
J
|
Inferred | |
|
Gemini 2.5 Flash Preview TTS
gemini-2.5-flash-preview-tts |
50.0B | 8K | ~18.00 | ~54.00 |
V
T
I
A
J
|
Inferred | |
|
Gemini 2.5 Pro
gemini-2.5-pro |
8.0B | 1.0M | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated | |
|
Gemini 2.5 Pro Preview TTS
gemini-2.5-pro-preview-tts |
110.0B | 8K | ~39.60 | ~118.80 |
V
T
I
A
J
|
Inferred | |
|
Gemini 3 Flash Preview
gemini-3-flash-preview |
170.0B | 1.0M | ~61.20 | ~183.60 |
V
T
I
A
J
|
Inferred | |
|
Nano Banana Pro
gemini-3-pro-image |
150.0B | 131K | ~54.00 | ~162.00 |
V
T
I
A
J
|
Inferred | |
|
Nano Banana Pro
gemini-3-pro-image-preview |
150.0B | 131K | ~54.00 | ~162.00 |
V
T
I
A
J
|
Inferred | |
|
Gemini 3 Pro Preview
gemini-3-pro-preview |
170.0B | 1.0M | ~61.20 | ~183.60 |
V
T
I
A
J
|
Inferred | |
|
Gemini Pro
gemini-pro |
32.0B | 32K | ~11.52 | ~34.56 |
V
T
I
A
J
|
Inferred | |
|
Gemini Pro Vision
gemini-pro-vision |
32.0B | 16K | ~11.52 | ~34.56 |
V
T
I
A
J
|
Inferred | |
|
Gemma 7b It
gemma-7b-it |
Groq | 2.0B | 8K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Gemma2 9b It
gemma2-9b-it |
Groq | 9.0B | 8K | ~5.40 | ~16.20 |
V
T
I
A
J
|
Estimated |
| gemma2:27b | Ollama | 27.0B | - | ~16.20 | ~48.60 |
-
|
Estimated |
| gemma2:2b | Ollama | 2.0B | - | ~2.00 | ~6.00 |
-
|
Estimated |
| gemma2:9b | Ollama | 9.0B | - | ~5.40 | ~16.20 |
-
|
Estimated |
|
Embeddinggemma 300m
google/embeddinggemma-300m |
Deepinfra | 1.8B | 2K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Google: Gemini 2.0 Flash
google/gemini-2.0-flash-001 |
Openrouter | 50.0B | 1.0M | ~18.00 | ~54.00 |
V
T
I
A
J
|
Estimated |
|
Google: Gemini 2.0 Flash Experimental (free)
google/gemini-2.0-flash-exp:free |
Openrouter | 50.0B | 1.0M | ~12.00 | ~36.00 |
-
|
Research |
|
Google: Gemini 2.0 Flash Lite
google/gemini-2.0-flash-lite-001 |
Openrouter | 20.0B | 1.0M | ~7.20 | ~21.60 |
V
T
I
A
J
|
Estimated |
|
Google: Gemini 2.5 Flash
google/gemini-2.5-flash |
Openrouter | 50.0B | 1.0M | ~18.00 | ~54.00 |
V
T
I
A
J
|
Estimated |
|
Google: Nano Banana (Gemini 2.5 Flash Image)
google/gemini-2.5-flash-image |
Openrouter | 50.0B | 33K | ~18.00 | ~54.00 |
V
T
I
A
J
|
Estimated |
|
Google: Gemini 2.5 Flash Lite
google/gemini-2.5-flash-lite |
Openrouter | 20.0B | 1.0M | ~7.20 | ~21.60 |
V
T
I
A
J
|
Estimated |
|
Google: Gemini 2.5 Flash Lite Preview 09-2025
google/gemini-2.5-flash-lite-preview-09-2025 |
Openrouter | 20.0B | 1.0M | ~7.20 | ~21.60 |
V
T
I
A
J
|
Estimated |
|
Google: Gemini 2.5 Pro
google/gemini-2.5-pro |
Openrouter | 140.0B | 1.0M | ~50.40 | ~151.20 |
V
T
I
A
J
|
Inferred |
|
Google: Gemini 2.5 Pro Preview 06-05
google/gemini-2.5-pro-preview |
Openrouter | 140.0B | 1.0M | ~50.40 | ~151.20 |
V
T
I
A
J
|
Inferred |
|
Google: Gemini 2.5 Pro Preview 05-06
google/gemini-2.5-pro-preview-05-06 |
Openrouter | 140.0B | 1.0M | ~50.40 | ~151.20 |
V
T
I
A
J
|
Inferred |
|
Google: Gemini 3 Flash Preview
google/gemini-3-flash-preview |
Openrouter | 60.0B | 1.0M | ~21.60 | ~64.80 |
V
T
I
A
J
|
Inferred |
|
Google: Nano Banana Pro (Gemini 3 Pro Image Preview)
google/gemini-3-pro-image-preview |
Openrouter | 140.0B | 66K | ~50.40 | ~151.20 |
V
T
I
A
J
|
Inferred |
|
Google: Gemini 3 Pro Preview
google/gemini-3-pro-preview |
Redpill | 290.0B | 1.0M | ~104.40 | ~313.20 |
V
T
I
A
J
|
Inferred |
|
Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview)
google/gemini-3.1-flash-image-preview |
Openrouter | 50.0B | 66K | ~18.00 | ~54.00 |
V
T
I
A
J
|
Inferred |
|
Gemini 3.1 Flash Lite
google/gemini-3.1-flash-lite |
Deepinfra | 38.0B | 1.0M | ~13.68 | ~41.04 |
V
T
I
A
J
|
Inferred |
|
Google: Gemini 3.1 Flash Lite Preview
google/gemini-3.1-flash-lite-preview |
Openrouter | 38.0B | 1.0M | ~13.68 | ~41.04 |
V
T
I
A
J
|
Inferred |
|
Gemini 3.1 Pro
google/gemini-3.1-pro |
Deepinfra | 170.0B | 1.0M | ~61.20 | ~183.60 |
V
T
I
A
J
|
Inferred |
|
Google: Gemini 3.1 Pro Preview
google/gemini-3.1-pro-preview |
Redpill | 290.0B | 1.0M | ~104.40 | ~313.20 |
V
T
I
A
J
|
Inferred |
|
Google: Gemini 3.1 Pro Preview Custom Tools
google/gemini-3.1-pro-preview-customtools |
Openrouter | 170.0B | 1.0M | ~61.20 | ~183.60 |
V
T
I
A
J
|
Inferred |
|
Gemini 3.5 Flash
google/gemini-3.5-flash |
Deepinfra | 120.0B | 1.0M | ~43.20 | ~129.60 |
V
T
I
A
J
|
Inferred |
|
Google: Gemini 3.5 Flash Lite
google/gemini-3.5-flash-lite |
Redpill | 53.0B | 1.0M | ~19.08 | ~57.24 |
V
T
I
A
J
|
Inferred |
|
Google: Gemini 3.6 Flash
google/gemini-3.6-flash |
Redpill | 100.0B | 1.0M | ~36.00 | ~108.00 |
V
T
I
A
J
|
Inferred |
|
Gemini 3.7 Flash
google/gemini-3.7-flash |
Deepinfra | 66.0B | 1.0M | ~23.76 | ~71.28 |
V
T
I
A
J
|
Inferred |
|
Google: Gemma 2 27B
google/gemma-2-27b-it |
Openrouter | 27.0B | 8K | ~16.20 | ~48.60 |
V
T
I
A
J
|
Estimated |
|
Google: Gemma 2 9B
google/gemma-2-9b-it |
Openrouter | 9.0B | 8K | ~5.40 | ~16.20 |
-
|
Estimated |
|
Gemma 3 12b It
google/gemma-3-12b-it |
Deepinfra | 2.2B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Google: Gemma 3 12B (free)
google/gemma-3-12b-it:free |
Openrouter | 12.0B | 33K | ~7.20 | ~21.60 |
V
T
I
A
J
|
Estimated |
|
Gemma 3 27b It
google/gemma-3-27b-it |
Deepinfra | 2.2B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Google: Gemma 3 27B (free)
google/gemma-3-27b-it:free |
Openrouter | 27.0B | 131K | ~16.20 | ~48.60 |
V
T
I
A
J
|
Estimated |
|
Gemma 3 4b It
google/gemma-3-4b-it |
Deepinfra | 2.2B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Google: Gemma 3 4B (free)
google/gemma-3-4b-it:free |
Openrouter | 4.0B | 33K | ~2.40 | ~7.20 |
V
T
I
A
J
|
Estimated |
|
Google: Gemma 3n 2B (free)
google/gemma-3n-e2b-it:free |
Openrouter | 2.0B | 8K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
|
Google: Gemma 3n 4B
google/gemma-3n-e4b-it |
Openrouter | 4.0B | 33K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
|
Google: Gemma 3n 4B (free)
google/gemma-3n-e4b-it:free |
Openrouter | 4.0B | 8K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
|
Gemma 4 26B A4B It
google/gemma-4-26B-A4B-it |
Deepinfra | 4.9B | 262K | ~2.94 | ~8.82 |
V
T
I
A
J
|
Inferred |
|
Google: Gemma 4 26B A4B
google/gemma-4-26b-a4b-it |
Openrouter | 26.0B | 262K | ~9.36 | ~28.08 |
V
T
I
A
J
|
Estimated |
|
Google: Gemma 4 26B A4B (free)
google/gemma-4-26b-a4b-it:free |
Openrouter | 26.0B | 262K | ~9.36 | ~28.08 |
V
T
I
A
J
|
Estimated |
|
Gemma 4 31B It
google/gemma-4-31B-it |
Deepinfra | 5.5B | 262K | ~3.30 | ~9.90 |
V
T
I
A
J
|
Inferred |
|
Gemma 4 31B It Ultra
google/gemma-4-31B-it-Ultra |
Deepinfra | 14.0B | 131K | ~8.40 | ~25.20 |
V
T
I
A
J
|
Inferred |
|
Gemma 4 31B It Turbo
google/gemma-4-31B-it-turbo |
Deepinfra | 4.9B | 262K | ~2.94 | ~8.82 |
V
T
I
A
J
|
Inferred |
|
Google: Gemma 4 31B
google/gemma-4-31b-it |
Redpill | 6.5B | 262K | ~3.90 | ~11.70 |
V
T
I
A
J
|
Inferred |
|
Google: Gemma 4 31B (free)
google/gemma-4-31b-it:free |
Openrouter | 31.0B | 262K | ~18.60 | ~55.80 |
V
T
I
A
J
|
Estimated |
| gpt-3.5-turbo | Openai | 20.0B | 16K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Estimated |
| gpt-3.5-turbo-0125 | Openai | 20.0B | 16K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Estimated |
| gpt-3.5-turbo-1106 | Openai | 20.0B | 16K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Estimated |
| gpt-3.5-turbo-16k | Openai | 20.0B | 16K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Estimated |
| gpt-3.5-turbo-instruct | Openai | 20.0B | 16K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Estimated |
| gpt-3.5-turbo-instruct-0914 | Openai | 20.0B | 16K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Estimated |
| gpt-4 | Openai | 200.0B | 8K | ~120.00 | ~360.00 |
V
T
I
A
J
|
Estimated |
| gpt-4-0125-preview | Openai | 200.0B | 8K | ~120.00 | ~360.00 |
V
T
I
A
J
|
Estimated |
| gpt-4-0613 | Openai | 0.0B | 8K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
| gpt-4-1106-preview | Openai | 600.0B | 8K | ~360.00 | ~1,080.00 |
V
T
I
A
J
|
Inferred |
|
Gpt 4 32k
gpt-4-32k |
Openai | 220.0B | - | ~66.00 | ~198.00 |
-
|
Estimated |
|
Gpt 4 32k 0613
gpt-4-32k-0613 |
Openai | 220.0B | - | ~66.00 | ~198.00 |
-
|
Estimated |
| gpt-4-turbo | Openai | 200.0B | 128K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Estimated |
| gpt-4-turbo-2024-04-09 | Openai | 200.0B | 128K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Estimated |
| gpt-4-turbo-preview | Openai | 200.0B | 128K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Estimated |
| gpt-4.1 | Openai | 110.0B | 1.0M | ~66.00 | ~198.00 |
V
T
I
A
J
|
Inferred |
| gpt-4.1-2025-04-14 | Openai | 110.0B | 1.0M | ~66.00 | ~198.00 |
V
T
I
A
J
|
Inferred |
| gpt-4.1-mini | Openai | 8.0B | 1.0M | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
| gpt-4.1-mini-2025-04-14 | Openai | 8.0B | 1.0M | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
| gpt-4.1-nano | Openai | 4.0B | 200K | ~2.40 | ~7.20 |
V
T
I
A
J
|
Estimated |
| gpt-4.1-nano-2025-04-14 | Openai | 4.0B | 1.0M | ~2.40 | ~7.20 |
V
T
I
A
J
|
Estimated |
| gpt-4o | Openai | 200.0B | 128K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Estimated |
| gpt-4o-2024-05-13 | Openai | 200.0B | 128K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Estimated |
| gpt-4o-2024-08-06 | Openai | 200.0B | 128K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Estimated |
| gpt-4o-2024-11-20 | Openai | 200.0B | 128K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Estimated |
| gpt-4o-audio-preview | Openai | 120.0B | 128K | ~72.00 | ~216.00 |
V
T
I
A
J
|
Inferred |
| gpt-4o-audio-preview-2024-12-17 | Openai | 120.0B | 128K | ~72.00 | ~216.00 |
V
T
I
A
J
|
Inferred |
| gpt-4o-audio-preview-2025-06-03 | Openai | 120.0B | 128K | ~72.00 | ~216.00 |
V
T
I
A
J
|
Inferred |
| gpt-4o-mini | Openai | 8.0B | 128K | ~5.76 | ~17.28 |
V
T
I
A
J
|
Estimated |
| gpt-4o-mini-2024-07-18 | Openai | 8.0B | 128K | ~5.76 | ~17.28 |
V
T
I
A
J
|
Estimated |
| gpt-4o-mini-audio-preview | Openai | 8.0B | 128K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
| gpt-4o-mini-audio-preview-2024-12-17 | Openai | 8.0B | 128K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
| gpt-4o-mini-realtime-preview | Openai | 8.0B | 128K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
| gpt-4o-mini-realtime-preview-2024-12-17 | Openai | 8.0B | 128K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
| gpt-4o-mini-search-preview | Openai | 8.0B | 128K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
| gpt-4o-mini-search-preview-2025-03-11 | Openai | 8.0B | 128K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
| gpt-4o-mini-transcribe | Openai | 8.0B | 128K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
| gpt-4o-mini-transcribe-2025-03-20 | Openai | 8.0B | 128K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
| gpt-4o-mini-transcribe-2025-12-15 | Openai | 8.0B | 128K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
| gpt-4o-mini-tts | Openai | 8.0B | 128K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
| gpt-4o-mini-tts-2025-03-20 | Openai | 8.0B | 128K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
| gpt-4o-mini-tts-2025-12-15 | Openai | 8.0B | 128K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
| gpt-4o-realtime-preview | Openai | 200.0B | 128K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Estimated |
| gpt-4o-realtime-preview-2024-12-17 | Openai | 200.0B | 128K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Estimated |
| gpt-4o-realtime-preview-2025-06-03 | Openai | 200.0B | 128K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Estimated |
| gpt-4o-search-preview | Openai | 120.0B | 128K | ~72.00 | ~216.00 |
V
T
I
A
J
|
Inferred |
| gpt-4o-search-preview-2025-03-11 | Openai | 120.0B | 128K | ~72.00 | ~216.00 |
V
T
I
A
J
|
Inferred |
| gpt-4o-transcribe | Openai | 200.0B | 128K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Estimated |
| gpt-4o-transcribe-diarize | Openai | 200.0B | 128K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Estimated |
| gpt-5 | Openai | 0.0B | 200K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
| gpt-5-2025-08-07 | Openai | 0.0B | 200K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
| gpt-5-chat-latest | Openai | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
| gpt-5-codex | Openai | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
| gpt-5-mini | Openai | 8.0B | 200K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
| gpt-5-mini-2025-08-07 | Openai | 8.0B | 200K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
| gpt-5-nano | Openai | 4.0B | 200K | ~2.40 | ~7.20 |
V
T
I
A
J
|
Estimated |
| gpt-5-nano-2025-08-07 | Openai | 4.0B | 200K | ~2.40 | ~7.20 |
V
T
I
A
J
|
Estimated |
| gpt-5-pro | Openai | 50.0B | 200K | ~30.00 | ~90.00 |
V
T
I
A
J
|
Estimated |
| gpt-5-pro-2025-10-06 | Openai | 50.0B | 200K | ~30.00 | ~90.00 |
V
T
I
A
J
|
Estimated |
| gpt-5-search-api | Openai | 300.0B | 200K | ~180.00 | ~540.00 |
V
T
I
A
J
|
Estimated |
| gpt-5-search-api-2025-10-14 | Openai | 300.0B | 200K | ~180.00 | ~540.00 |
V
T
I
A
J
|
Estimated |
| gpt-5.1 | Openai | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
| gpt-5.1-2025-11-13 | Openai | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
| gpt-5.1-chat-latest | Openai | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
| gpt-5.1-codex | Openai | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
| gpt-5.1-codex-max | Openai | 300.0B | 200K | ~180.00 | ~540.00 |
V
T
I
A
J
|
Estimated |
| gpt-5.1-codex-mini | Openai | 8.0B | 200K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
| gpt-5.2 | Openai | 8.0B | 200K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
| gpt-5.2-2025-12-11 | Openai | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
| gpt-5.2-chat-latest | Openai | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
| gpt-5.2-codex | Openai | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
| gpt-5.2-pro | Openai | 50.0B | 200K | ~30.00 | ~90.00 |
V
T
I
A
J
|
Estimated |
| gpt-5.2-pro-2025-12-11 | Openai | 50.0B | 200K | ~30.00 | ~90.00 |
V
T
I
A
J
|
Estimated |
|
Gpt 5.3 Chat Latest
gpt-5.3-chat-latest |
Openai | 270.0B | - | ~162.00 | ~486.00 |
V
T
I
A
J
|
Inferred |
|
Gpt 5.3 Codex
gpt-5.3-codex |
Openai | 270.0B | - | ~135.00 | ~405.00 |
-
|
Inferred |
|
Gpt 5.4
gpt-5.4 |
Openai | 200.0B | - | ~120.00 | ~360.00 |
V
T
I
A
J
|
Inferred |
|
Gpt 5.4 2026 03 05
gpt-5.4-2026-03-05 |
Openai | 200.0B | - | ~120.00 | ~360.00 |
V
T
I
A
J
|
Inferred |
|
Gpt 5.4 Mini
gpt-5.4-mini |
Openai | 60.0B | - | ~36.00 | ~108.00 |
V
T
I
A
J
|
Inferred |
|
Gpt 5.4 Mini 2026 03 17
gpt-5.4-mini-2026-03-17 |
Openai | 200.0B | - | ~120.00 | ~360.00 |
V
T
I
A
J
|
Inferred |
|
Gpt 5.4 Nano
gpt-5.4-nano |
Openai | 26.0B | - | ~15.60 | ~46.80 |
V
T
I
A
J
|
Inferred |
|
Gpt 5.4 Nano 2026 03 17
gpt-5.4-nano-2026-03-17 |
Openai | 200.0B | - | ~120.00 | ~360.00 |
V
T
I
A
J
|
Inferred |
|
Gpt 5.4 Pro
gpt-5.4-pro |
Openai | 1,040.0B | - | ~520.00 | ~1,560.00 |
-
|
Inferred |
|
Gpt 5.4 Pro 2026 03 05
gpt-5.4-pro-2026-03-05 |
Openai | 200.0B | - | ~100.00 | ~300.00 |
-
|
Inferred |
| gpt-audio | Openai | 200.0B | - | ~144.00 | ~432.00 |
-
|
Estimated |
|
Gpt Audio 1.5
gpt-audio-1.5 |
Openai | 3.7B | - | ~2.00 | ~6.00 |
-
|
Inferred |
| gpt-audio-2025-08-28 | Openai | 200.0B | - | ~144.00 | ~432.00 |
-
|
Estimated |
| gpt-audio-mini | Openai | 8.0B | - | ~4.80 | ~14.40 |
-
|
Estimated |
| gpt-audio-mini-2025-10-06 | Openai | 8.0B | - | ~4.80 | ~14.40 |
-
|
Estimated |
| gpt-audio-mini-2025-12-15 | Openai | 8.0B | - | ~4.80 | ~14.40 |
-
|
Estimated |
| gpt-image-1 | Openai | 12.0B | - | ~8.64 | ~25.92 |
-
|
Estimated |
| gpt-image-1-mini | Openai | 8.0B | - | ~5.76 | ~17.28 |
-
|
Estimated |
| gpt-image-1.5 | Openai | 2.0B | - | ~2.00 | ~6.00 |
-
|
Inferred |
|
Gpt Oss 120b
gpt-oss-120b |
Cerebras | 14.0B | 128K | ~8.40 | ~25.20 |
V
T
I
A
J
|
Inferred |
|
gpt-oss-120B
gpt-oss/gpt-oss-120B |
Together | 8.8B | 128K | ~5.28 | ~15.84 |
V
T
I
A
J
|
Inferred |
| gpt-realtime | Openai | 200.0B | - | ~144.00 | ~432.00 |
-
|
Estimated |
|
Gpt Realtime 1.5
gpt-realtime-1.5 |
Openai | 400.0B | - | ~200.00 | ~600.00 |
-
|
Inferred |
| gpt-realtime-2025-08-28 | Openai | 200.0B | - | ~144.00 | ~432.00 |
-
|
Estimated |
| gpt-realtime-mini | Openai | 8.0B | - | ~4.80 | ~14.40 |
-
|
Estimated |
| gpt-realtime-mini-2025-10-06 | Openai | 8.0B | - | ~4.80 | ~14.40 |
-
|
Estimated |
| gpt-realtime-mini-2025-12-15 | Openai | 8.0B | - | ~4.80 | ~14.40 |
-
|
Estimated |
|
Grok 2
grok-2 |
Grok | 314.0B | - | ~94.20 | ~282.60 |
-
|
Estimated |
|
Grok 2 1212
grok-2-1212 |
Xai | 314.0B | 131K | ~94.20 | ~282.60 |
V
T
I
A
J
|
Estimated |
| grok-2-image-1212 | Grok | 314.0B | - | ~113.04 | ~339.12 |
-
|
Estimated |
|
Grok 2 Latest
grok-2-latest |
Xai | 120.0B | 131K | ~43.20 | ~129.60 |
V
T
I
A
J
|
Inferred |
|
Grok 2 Mini
grok-2-mini |
Grok | 70.0B | - | ~21.00 | ~63.00 |
-
|
Estimated |
|
Grok 2 Vision 1212
grok-2-vision-1212 |
Xai | 314.0B | 33K | ~113.04 | ~339.12 |
V
T
I
A
J
|
Estimated |
|
Grok 3
grok-3 |
Xai | 220.0B | 131K | ~79.20 | ~237.60 |
V
T
I
A
J
|
Inferred |
|
Grok 3 Fast
grok-3-fast |
Xai | 48.0B | 131K | ~17.28 | ~51.84 |
V
T
I
A
J
|
Inferred |
|
Grok 3 Mini
grok-3-mini |
Xai | 100.0B | 131K | ~30.00 | ~90.00 |
V
T
I
A
J
|
Estimated |
|
Grok 4
grok-4 |
Xai | 220.0B | 131K | ~79.20 | ~237.60 |
V
T
I
A
J
|
Inferred |
|
Grok 4 0709
grok-4-0709 |
Xai | 220.0B | 131K | ~79.20 | ~237.60 |
V
T
I
A
J
|
Inferred |
|
Grok 4 1 Fast Non Reasoning
grok-4-1-fast-non-reasoning |
Xai | 400.0B | 131K | ~120.00 | ~360.00 |
V
T
I
A
J
|
Estimated |
|
Grok 4 1 Fast Reasoning
grok-4-1-fast-reasoning |
Xai | 400.0B | 131K | ~120.00 | ~360.00 |
V
T
I
A
J
|
Estimated |
|
Grok 4 Fast Non Reasoning
grok-4-fast-non-reasoning |
Xai | 400.0B | 131K | ~120.00 | ~360.00 |
V
T
I
A
J
|
Estimated |
|
Grok 4 Fast Reasoning
grok-4-fast-reasoning |
Xai | 400.0B | 131K | ~120.00 | ~360.00 |
V
T
I
A
J
|
Estimated |
|
Grok 4.1
grok-4.1 |
Xai | 140.0B | 2.0M | ~50.40 | ~151.20 |
V
T
I
A
J
|
Inferred |
|
Grok 4.1 Fast
grok-4.1-fast |
Xai | 7.1B | 2.0M | ~2.56 | ~7.67 |
V
T
I
A
J
|
Inferred |
|
Grok 4.1 Mini
grok-4.1-mini |
Xai | 4.4B | 2.0M | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Grok Beta
grok-beta |
Grok | 314.0B | - | ~94.20 | ~282.60 |
-
|
Estimated |
|
Grok Vision Beta
grok-vision-beta |
Xai | 200.0B | 8K | ~72.00 | ~216.00 |
V
T
I
A
J
|
Inferred |
|
Groq/compound
groq/compound |
Groq | 8.8B | 33K | ~5.28 | ~15.84 |
V
T
I
A
J
|
Inferred |
|
Groq/compound Mini
groq/compound-mini |
Groq | 8.8B | 131K | ~5.28 | ~15.84 |
V
T
I
A
J
|
Inferred |
|
MythoMax 13B
gryphe/mythomax-l2-13b |
Openrouter | 13.0B | 4K | ~6.50 | ~19.50 |
V
T
I
A
J
|
Estimated |
|
IBM: Granite 4.0 Micro
ibm-granite/granite-4.0-h-micro |
Openrouter | 3.0B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
|
Granite 4.2 30b
ibm-granite/granite-4.2-30b |
Deepinfra | 10.0B | 131K | ~6.00 | ~18.00 |
V
T
I
A
J
|
Inferred |
|
Granite 4.2 3b
ibm-granite/granite-4.2-3b |
Deepinfra | 2.2B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Granite 4.2 8b
ibm-granite/granite-4.2-8b |
Deepinfra | 8.0B | 131K | ~4.00 | ~12.00 |
V
T
I
A
J
|
Estimated |
|
Inception: Mercury 2
inception/mercury-2 |
Openrouter | 0.0B | 128K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
|
Ling 3.0 Flash
inclusionAI/Ling-3.0-flash |
Deepinfra | 124.0B | 131K | ~37.20 | ~111.60 |
V
T
I
A
J
|
Estimated |
|
Ling 3.0 Flash Fin
inclusionAI/Ling-3.0-flash-Fin |
Deepinfra | 5.1B | 262K | ~2.55 | ~7.65 |
V
T
I
A
J
|
Estimated |
|
Ling 3.0 Flash VL
inclusionAI/Ling-3.0-flash-VL |
Deepinfra | 124.0B | 131K | ~44.64 | ~133.92 |
V
T
I
A
J
|
Estimated |
|
Ling 3.1 Flash
inclusionAI/Ling-3.1-flash |
Deepinfra | 20.0B | 262K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Inferred |
|
inclusionAI: Ling 3.0 Flash Sante
inclusionai/ling-3.0-flash-sante |
Openrouter | 5.1B | 262K | ~2.55 | ~7.65 |
-
|
Estimated |
|
inclusionAI: Ling 3.0 Flash Sante (free)
inclusionai/ling-3.0-flash-sante:free |
Openrouter | 5.1B | 262K | ~2.55 | ~7.65 |
-
|
Estimated |
|
inclusionAI: Ling 3.1 Flash
inclusionai/ling-3.1-flash |
Openrouter | 25.0B | 262K | ~12.50 | ~37.50 |
-
|
Estimated |
|
Inference.net: Schematron V2 Small
inference-net/schematron-v2-small |
Openrouter | 3.0B | 128K | ~2.00 | ~6.00 |
-
|
Estimated |
|
Inference.net: Schematron V2 Turbo
inference-net/schematron-v2-turbo |
Openrouter | 3.0B | 128K | ~2.00 | ~6.00 |
-
|
Estimated |
|
Inflection: Inflection 3 Pi
inflection/inflection-3-pi |
Openrouter | 110.0B | 8K | ~66.00 | ~198.00 |
V
T
I
A
J
|
Inferred |
|
Inflection: Inflection 3 Productivity
inflection/inflection-3-productivity |
Openrouter | 110.0B | 8K | ~66.00 | ~198.00 |
V
T
I
A
J
|
Inferred |
|
E5 Base V2
intfloat/e5-base-v2 |
Deepinfra | 1.8B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
E5 Large V2
intfloat/e5-large-v2 |
Deepinfra | 1.8B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Multilingual E5 Large
intfloat/multilingual-e5-large |
Deepinfra | 1.8B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Multilingual E5 Large Instruct
intfloat/multilingual-e5-large-instruct |
Deepinfra | 1.8B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
J2 Light
j2-light |
Ai21 | 50.0B | 8K | ~30.00 | ~90.00 |
V
T
I
A
J
|
Inferred |
|
J2 Mid
j2-mid |
Ai21 | 110.0B | 8K | ~66.00 | ~198.00 |
V
T
I
A
J
|
Inferred |
|
J2 Ultra
j2-ultra |
Ai21 | 200.0B | 8K | ~120.00 | ~360.00 |
V
T
I
A
J
|
Inferred |
|
Jamba 1.5 Large
jamba-1.5-large |
Ai21 | 110.0B | 256K | ~66.00 | ~198.00 |
V
T
I
A
J
|
Inferred |
|
Jamba 1.5 Mini
jamba-1.5-mini |
Ai21 | 5.7B | 256K | ~3.42 | ~10.26 |
V
T
I
A
J
|
Inferred |
|
Jamba Instruct
jamba-instruct |
Ai21 | 13.0B | 256K | ~7.80 | ~23.40 |
V
T
I
A
J
|
Inferred |
|
Jamba Instruct Preview
jamba-instruct-preview |
Ai21 | 13.0B | 256K | ~7.80 | ~23.40 |
V
T
I
A
J
|
Inferred |
|
Jared Palmer: Kev 4B
jaredpalmer/kev-4b |
Redpill | 2.0B | 8K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Jev 1.13.0
jev-1.13.0 |
Typesafe | 2.0B | - | ~2.00 | ~6.00 |
-
|
Inferred |
|
Kimi K2
kimi-k2 |
Moonshot | 48.0B | 131K | ~28.80 | ~86.40 |
V
T
I
A
J
|
Inferred |
|
Kimi K2 0711
kimi-k2-0711 |
Moonshot | 47.0B | 131K | ~28.20 | ~84.60 |
V
T
I
A
J
|
Inferred |
|
Kimi K2 0711 Preview
kimi-k2-0711-preview |
Moonshot | 47.0B | 131K | ~28.20 | ~84.60 |
V
T
I
A
J
|
Inferred |
|
Kimi K2 0905
kimi-k2-0905 |
Moonshot | 44.0B | 262K | ~26.40 | ~79.20 |
V
T
I
A
J
|
Inferred |
|
Kimi K2 0905 Preview
kimi-k2-0905-preview |
Moonshot | 44.0B | 262K | ~26.40 | ~79.20 |
V
T
I
A
J
|
Inferred |
|
Kimi K2 Exacto
kimi-k2-exacto |
Moonshot | 44.0B | 262K | ~26.40 | ~79.20 |
V
T
I
A
J
|
Inferred |
|
Kimi K2 Thinking
kimi-k2-thinking |
Moonshot | 53.0B | 262K | ~31.80 | ~95.40 |
V
T
I
A
J
|
Inferred |
|
Kimi K2 Thinking Turbo
kimi-k2-thinking-turbo |
Moonshot | 53.0B | 262K | ~31.80 | ~95.40 |
V
T
I
A
J
|
Inferred |
|
Kimi K2 Turbo
kimi-k2-turbo |
Moonshot | 99.0B | 131K | ~59.40 | ~178.20 |
V
T
I
A
J
|
Inferred |
|
Kimi K2 Turbo Preview
kimi-k2-turbo-preview |
Moonshot | 110.0B | 262K | ~66.00 | ~198.00 |
V
T
I
A
J
|
Inferred |
|
Kimi K2.5
kimi-k2.5 |
Moonshot | 57.0B | 262K | ~34.20 | ~102.60 |
V
T
I
A
J
|
Inferred |
|
Kimi Latest
kimi-latest |
Moonshot | 52.0B | 131K | ~31.20 | ~93.60 |
V
T
I
A
J
|
Inferred |
|
Kimi Long
kimi-long |
Moonshot | 170.0B | 1.0M | ~102.00 | ~306.00 |
V
T
I
A
J
|
Inferred |
|
Kwaipilot: KAT-Coder-Pro V2
kwaipilot/kat-coder-pro-v2 |
Openrouter | 30.0B | 256K | ~18.00 | ~54.00 |
V
T
I
A
J
|
Inferred |
|
LiquidAI: LFM2-24B-A2B
liquid/lfm-2-24b-a2b |
Openrouter | 24.0B | 33K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Estimated |
|
LiquidAI/LFM2-2.6B
liquid/lfm-2.2-6b |
Openrouter | 2.6B | 33K | ~2.00 | ~6.00 |
-
|
Estimated |
|
LiquidAI: LFM2.5-1.2B-Instruct (free)
liquid/lfm-2.5-1.2b-instruct:free |
Openrouter | 1.2B | 33K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
|
LiquidAI: LFM2.5-1.2B-Thinking (free)
liquid/lfm-2.5-1.2b-thinking:free |
Openrouter | 1.2B | 33K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
|
LiquidAI: LFM2.5-2.6B
liquid/lfm-2.5-2.6b |
Openrouter | 2.6B | 128K | ~2.00 | ~6.00 |
-
|
Estimated |
|
LiquidAI: LFM2.5-2.6B (free)
liquid/lfm-2.5-2.6b:free |
Openrouter | 2.6B | 66K | ~2.00 | ~6.00 |
-
|
Estimated |
|
LiquidAI: LFM2.5-24B-A2B
liquid/lfm-2.5-24b-a2b |
Openrouter | 24.0B | 128K | ~12.00 | ~36.00 |
-
|
Estimated |
|
LiquidAI/LFM2-8B-A1B
liquid/lfm2-8b-a1b |
Openrouter | 8.0B | 33K | ~4.00 | ~12.00 |
-
|
Estimated |
|
Llama 3.1 405b Reasoning
llama-3.1-405b-reasoning |
Groq | 20.0B | 33K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Inferred |
|
Llama 3.1 70b Versatile
llama-3.1-70b-versatile |
Groq | 70.0B | 131K | ~42.00 | ~126.00 |
V
T
I
A
J
|
Estimated |
|
Llama 3.1 8b Instant
llama-3.1-8b-instant |
Groq | 8.0B | 131K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
|
Llama 3.1 Sonar Huge 128k Online
llama-3.1-sonar-huge-128k-online |
Perplexity | 70.0B | 128K | ~42.00 | ~126.00 |
V
T
I
A
J
|
Inferred |
|
Llama 3.1 Sonar Large 128k Chat
llama-3.1-sonar-large-128k-chat |
Perplexity | 70.0B | - | ~42.00 | ~126.00 |
-
|
Estimated |
|
Llama 3.1 Sonar Large 128k Online
llama-3.1-sonar-large-128k-online |
Perplexity | 22.0B | 128K | ~13.20 | ~39.60 |
V
T
I
A
J
|
Inferred |
|
Llama 3.1 Sonar Small 128k Chat
llama-3.1-sonar-small-128k-chat |
Perplexity | 8.0B | - | ~4.80 | ~14.40 |
-
|
Estimated |
|
Llama 3.1 Sonar Small 128k Online
llama-3.1-sonar-small-128k-online |
Perplexity | 2.2B | 128K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Llama 3.2 11b Vision Preview
llama-3.2-11b-vision-preview |
Groq | 2.0B | 8K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Llama 3.2 1b Preview
llama-3.2-1b-preview |
Groq | 2.0B | 8K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Llama 3.2 3b Preview
llama-3.2-3b-preview |
Groq | 2.0B | 8K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Llama 3.2 90b Vision Preview
llama-3.2-90b-vision-preview |
Groq | 17.0B | 8K | ~10.20 | ~30.60 |
V
T
I
A
J
|
Inferred |
|
Llama 3.3 70b Specdec
llama-3.3-70b-specdec |
Groq | 70.0B | - | ~42.00 | ~126.00 |
-
|
Estimated |
|
Llama 3.3 70b Versatile
llama-3.3-70b-versatile |
Groq | 70.0B | 128K | ~42.00 | ~126.00 |
V
T
I
A
J
|
Estimated |
|
Llama3 70b 8192
llama3-70b-8192 |
Groq | 70.0B | 8K | ~42.00 | ~126.00 |
V
T
I
A
J
|
Estimated |
|
Llama3 8b 8192
llama3-8b-8192 |
Groq | 8.0B | 8K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
|
Llama3 1 8b
llama3.1-8b |
Cerebras | 2.2B | 128K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
| llama3.1:70b | Ollama | 70.0B | - | ~42.00 | ~126.00 |
-
|
Estimated |
| llama3.1:8b | Ollama | 8.0B | - | ~4.80 | ~14.40 |
-
|
Estimated |
| llama3.2:1b | Ollama | 1.0B | - | ~2.00 | ~6.00 |
-
|
Estimated |
| llama3.2:3b | Ollama | 3.0B | - | ~2.00 | ~6.00 |
-
|
Estimated |
| llama3:70b | Ollama | 70.0B | - | ~42.00 | ~126.00 |
-
|
Estimated |
| llama3:8b | Ollama | 8.0B | - | ~4.80 | ~14.40 |
-
|
Estimated |
| llava:13b | Ollama | 13.0B | - | ~9.36 | ~28.08 |
-
|
Estimated |
| llava:34b | Ollama | 34.0B | - | ~24.48 | ~73.44 |
-
|
Estimated |
| llava:7b | Ollama | 7.0B | - | ~5.04 | ~15.12 |
-
|
Estimated |
|
Magistral Medium 2506
magistral-medium-2506 |
Mistral | 63.0B | 40K | ~37.80 | ~113.40 |
V
T
I
A
J
|
Inferred |
|
Magistral Medium 2507
magistral-medium-2507 |
Mistral | 63.0B | 40K | ~37.80 | ~113.40 |
V
T
I
A
J
|
Inferred |
| magistral-medium-2509 | Mistral | 63.0B | 40K | ~37.80 | ~113.40 |
V
T
I
A
J
|
Inferred |
|
mistral-medium-latest
magistral-medium-latest |
Mistral | 63.0B | 40K | ~37.80 | ~113.40 |
V
T
I
A
J
|
Inferred |
|
Magistral Small 2507
magistral-small-2507 |
Mistral | 32.0B | 40K | ~19.20 | ~57.60 |
V
T
I
A
J
|
Inferred |
| magistral-small-2509 | Mistral | 32.0B | 40K | ~19.20 | ~57.60 |
V
T
I
A
J
|
Inferred |
|
mistral-small-2603
magistral-small-latest |
Mistral | 32.0B | 40K | ~19.20 | ~57.60 |
V
T
I
A
J
|
Inferred |
|
Mancer: Weaver (alpha)
mancer/weaver |
Openrouter | 20.0B | 8K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Inferred |
|
Meituan: LongCat 2.0
meituan/longcat-2.0 |
Openrouter | 48.0B | 1.0M | ~24.00 | ~72.00 |
-
|
Estimated |
|
Meituan: LongCat Flash Chat
meituan/longcat-flash-chat |
Openrouter | 560.0B | 131K | ~168.00 | ~504.00 |
-
|
Estimated |
|
Meituan: LongCat Flash Chat (free)
meituan/longcat-flash-chat:free |
Openrouter | 560.0B | 131K | ~168.00 | ~504.00 |
-
|
Estimated |
|
Llama-3-8B-Instruct-Lite
meta-llama/Llama-3-8B-Instruct-Lite |
Together | 2.0B | 8K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Llama 3.2 11B Vision Instruct
meta-llama/Llama-3.2-11B-Vision-Instruct |
Deepinfra | 11.0B | - | ~7.92 | ~23.76 |
-
|
Estimated |
|
Llama-3.2-11B-Vision-Instruct-Turbo
meta-llama/Llama-3.2-11B-Vision-Instruct-Turbo |
Together | 2.2B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Llama-3.2-3B-Instruct-Turbo
meta-llama/Llama-3.2-3B-Instruct-Turbo |
Together | 2.2B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Llama-3.2-90B-Vision-Instruct-Turbo
meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo |
Together | 27.0B | 131K | ~16.20 | ~48.60 |
V
T
I
A
J
|
Inferred |
|
Llama 3.3 70B Instruct Turbo
meta-llama/Llama-3.3-70B-Instruct-Turbo |
Deepinfra | 3.9B | 131K | ~2.34 | ~7.02 |
V
T
I
A
J
|
Inferred |
|
Llama 4 Scout 17B 16E Instruct
meta-llama/Llama-4-Scout-17B-16E-Instruct |
Deepinfra | 4.4B | 328K | ~2.64 | ~7.92 |
V
T
I
A
J
|
Inferred |
|
Llama Guard 4 12B
meta-llama/Llama-Guard-4-12B |
Deepinfra | 2.2B | 164K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Meta-Llama-3.1-405B-Instruct-Turbo
meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo |
Together | 405.0B | 131K | ~243.00 | ~729.00 |
V
T
I
A
J
|
Estimated |
|
Meta Llama 3.1 70B Instruct Turbo
meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo |
Deepinfra | 5.3B | 131K | ~3.18 | ~9.54 |
V
T
I
A
J
|
Inferred |
|
Meta Llama 3.1 8B Instruct Turbo
meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo |
Deepinfra | 2.2B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Meta: Llama 3 70B Instruct
meta-llama/llama-3-70b-instruct |
Openrouter | 70.0B | 8K | ~28.00 | ~84.00 |
V
T
I
A
J
|
Research |
|
Meta: Llama 3 8B Instruct
meta-llama/llama-3-8b-instruct |
Openrouter | 8.0B | 8K | ~3.20 | ~9.60 |
V
T
I
A
J
|
Research |
|
Meta: Llama 3.1 405B (base)
meta-llama/llama-3.1-405b |
Openrouter | 405.0B | 33K | ~202.50 | ~607.50 |
-
|
Estimated |
|
Meta: Llama 3.1 405B Instruct
meta-llama/llama-3.1-405b-instruct |
Openrouter | 405.0B | 131K | ~162.00 | ~486.00 |
-
|
Research |
|
Meta: Llama 3.1 405B Instruct (free)
meta-llama/llama-3.1-405b-instruct:free |
Openrouter | 400.0B | 131K | ~200.00 | ~600.00 |
-
|
Estimated |
|
Meta: Llama 3.1 70B Instruct
meta-llama/llama-3.1-70b-instruct |
Openrouter | 70.0B | 131K | ~28.00 | ~84.00 |
V
T
I
A
J
|
Research |
|
Meta: Llama 3.1 8B Instruct
meta-llama/llama-3.1-8b-instruct |
Openrouter | 8.0B | 16K | ~3.20 | ~9.60 |
V
T
I
A
J
|
Research |
|
Meta: Llama 3.2 11B Vision Instruct
meta-llama/llama-3.2-11b-vision-instruct |
Openrouter | 11.0B | 131K | ~7.92 | ~23.76 |
V
T
I
A
J
|
Estimated |
|
Meta: Llama 3.2 1B Instruct
meta-llama/llama-3.2-1b-instruct |
Openrouter | 1.0B | 60K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
|
Meta: Llama 3.2 3B Instruct
meta-llama/llama-3.2-3b-instruct |
Openrouter | 3.0B | 80K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
|
Meta: Llama 3.2 3B Instruct (free)
meta-llama/llama-3.2-3b-instruct:free |
Openrouter | 3.0B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
|
Meta: Llama 3.2 90B Vision Instruct
meta-llama/llama-3.2-90b-vision-instruct |
Openrouter | 90.0B | 33K | ~64.80 | ~194.40 |
-
|
Estimated |
|
Meta: Llama 3.3 70B Instruct
meta-llama/llama-3.3-70b-instruct |
Redpill | 70.0B | 131K | ~28.00 | ~84.00 |
V
T
I
A
J
|
Research |
|
Meta: Llama 3.3 70B Instruct (free)
meta-llama/llama-3.3-70b-instruct:free |
Openrouter | 70.0B | 66K | ~35.00 | ~105.00 |
V
T
I
A
J
|
Estimated |
|
Meta: Llama 4 Maverick
meta-llama/llama-4-maverick |
Openrouter | 17.0B | 1.0M | ~6.12 | ~18.36 |
V
T
I
A
J
|
Estimated |
|
Meta: Llama 4 Scout
meta-llama/llama-4-scout |
Openrouter | 17.0B | 328K | ~6.12 | ~18.36 |
V
T
I
A
J
|
Estimated |
|
Meta Llama/llama 4 Scout 17b 16e Instruct
meta-llama/llama-4-scout-17b-16e-instruct |
Groq | 4.5B | 131K | ~2.70 | ~8.10 |
V
T
I
A
J
|
Inferred |
|
Meta: LlamaGuard 2 8B
meta-llama/llama-guard-2-8b |
Openrouter | 8.0B | 8K | ~4.00 | ~12.00 |
-
|
Estimated |
|
Llama Guard 3 8B
meta-llama/llama-guard-3-8b |
Openrouter | 8.0B | 131K | ~4.00 | ~12.00 |
V
T
I
A
J
|
Estimated |
|
Meta: Llama Guard 4 12B
meta-llama/llama-guard-4-12b |
Openrouter | 12.0B | 164K | ~7.20 | ~21.60 |
V
T
I
A
J
|
Estimated |
|
Llama Prompt Guard 2 22M
meta-llama/llama-prompt-guard-2-22m |
Groq | 1.8B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Prompt Guard 2 86M
meta-llama/llama-prompt-guard-2-86m |
Groq | 1.8B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Muse Glimmer 30B
meta-models/Muse-Glimmer-30B |
Deepinfra | 27.0B | 131K | ~16.20 | ~48.60 |
V
T
I
A
J
|
Inferred |
|
Llama 2 13b Chat
meta/llama-2-13b-chat |
Replicate | 5.3B | 4K | ~3.18 | ~9.54 |
V
T
I
A
J
|
Inferred |
|
Llama 2 70b Chat
meta/llama-2-70b-chat |
Replicate | 42.0B | 4K | ~25.20 | ~75.60 |
V
T
I
A
J
|
Inferred |
|
Llama 2 7b Chat
meta/llama-2-7b-chat |
Replicate | 2.8B | 4K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Llama 3.3 70B Instruct (Bedrock)
meta/llama3-3-70b-instruct-v1:0 |
Bedrock | 13.0B | 128K | ~6.50 | ~19.50 |
T
|
Inferred |
|
Meta Llama 3 70b Instruct
meta/meta-llama-3-70b-instruct |
Replicate | 47.0B | 8K | ~28.20 | ~84.60 |
V
T
I
A
J
|
Inferred |
|
Meta Llama 3 8b Instruct
meta/meta-llama-3-8b-instruct |
Replicate | 3.1B | 8K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Meta Llama 3.1 405b Instruct
meta/meta-llama-3.1-405b-instruct |
Replicate | 120.0B | 131K | ~72.00 | ~216.00 |
V
T
I
A
J
|
Inferred |
|
Meta: Muse Glimmer 30B
meta/muse-glimmer-30b |
Redpill | 30.0B | 131K | ~18.00 | ~54.00 |
V
T
I
A
J
|
Estimated |
|
Microsoft: Phi-3 Medium 128K Instruct
microsoft/phi-3-medium-128k-instruct |
Openrouter | 14.0B | 128K | ~7.00 | ~21.00 |
-
|
Estimated |
|
Microsoft: Phi-3 Mini 128K Instruct
microsoft/phi-3-mini-128k-instruct |
Openrouter | 3.8B | 128K | ~2.00 | ~6.00 |
-
|
Estimated |
|
Microsoft: Phi-3.5 Mini 128K Instruct
microsoft/phi-3.5-mini-128k-instruct |
Openrouter | 3.8B | 128K | ~2.00 | ~6.00 |
-
|
Estimated |
|
Phi 4
microsoft/phi-4 |
Deepinfra | 2.0B | 16K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Microsoft: Phi 4 Multimodal Instruct
microsoft/phi-4-multimodal-instruct |
Openrouter | 5.6B | 131K | ~3.36 | ~10.08 |
-
|
Estimated |
|
Microsoft: Phi 4 Reasoning Plus
microsoft/phi-4-reasoning-plus |
Openrouter | 14.0B | 33K | ~7.00 | ~21.00 |
-
|
Estimated |
|
WizardLM-2 8x22B
microsoft/wizardlm-2-8x22b |
Openrouter | 176.0B | 66K | ~52.80 | ~158.40 |
V
T
I
A
J
|
Estimated |
|
MiniMax: MiniMax-01
minimax/minimax-01 |
Openrouter | 456.0B | 1.0M | ~164.16 | ~492.48 |
V
T
I
A
J
|
Estimated |
|
MiniMax: MiniMax M1
minimax/minimax-m1 |
Openrouter | 456.0B | 1.0M | ~136.80 | ~410.40 |
V
T
I
A
J
|
Estimated |
|
MiniMax: MiniMax M2
minimax/minimax-m2 |
Openrouter | 10.0B | 197K | ~5.00 | ~15.00 |
V
T
I
A
J
|
Estimated |
|
MiniMax: MiniMax M2-her
minimax/minimax-m2-her |
Openrouter | 25.0B | 66K | ~15.00 | ~45.00 |
V
T
I
A
J
|
Inferred |
|
MiniMax: MiniMax M2.1
minimax/minimax-m2.1 |
Openrouter | 10.0B | 197K | ~5.00 | ~15.00 |
V
T
I
A
J
|
Estimated |
|
MiniMax: MiniMax M2.5
minimax/minimax-m2.5 |
Redpill | 32.0B | 197K | ~19.20 | ~57.60 |
V
T
I
A
J
|
Inferred |
|
MiniMax: MiniMax M2.7
minimax/minimax-m2.7 |
Openrouter | 27.0B | 197K | ~16.20 | ~48.60 |
V
T
I
A
J
|
Inferred |
| ministral-14b-2512 | Mistral | 2.2B | 128K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
ministral-14b-2512
ministral-14b-latest |
Mistral | 2.2B | 128K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
| ministral-3b-2512 | Mistral | 2.2B | 128K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
ministral-3b-2512
ministral-3b-latest |
Mistral | 3.0B | 128K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
| ministral-8b-2512 | Mistral | 2.2B | 128K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
ministral-8b-2512
ministral-8b-latest |
Mistral | 8.0B | 128K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
|
Mistral 7b Instruct
mistral-7b-instruct |
Mistral | 2.0B | 32K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
mistral-embed-2312
mistral-embed |
Mistral | 3.7B | 8K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Mistral Large
mistral-large |
Mistral | 38.0B | 256K | ~22.80 | ~68.40 |
V
T
I
A
J
|
Inferred |
|
Mistral Large 2407
mistral-large-2407 |
Mistral | 77.0B | 128K | ~46.20 | ~138.60 |
V
T
I
A
J
|
Inferred |
| mistral-large-2411 | Mistral | 123.0B | 128K | ~73.80 | ~221.40 |
V
T
I
A
J
|
Estimated |
| mistral-large-2512 | Mistral | 38.0B | 256K | ~22.80 | ~68.40 |
V
T
I
A
J
|
Inferred |
| mistral-large-4 | Mistral | 38.0B | 256K | ~22.80 | ~68.40 |
V
T
I
A
J
|
Inferred |
|
mistral-large-4
mistral-large-4-0 |
Mistral | 38.0B | 256K | ~22.80 | ~68.40 |
V
T
I
A
J
|
Inferred |
|
mistral-large-2512
mistral-large-latest |
Mistral | 38.0B | 256K | ~22.80 | ~68.40 |
V
T
I
A
J
|
Inferred |
|
pixtral-large-2411
mistral-large-pixtral-2411 |
Mistral | 38.0B | 256K | ~22.80 | ~68.40 |
V
T
I
A
J
|
Inferred |
|
mistral-medium-latest
mistral-medium |
Mistral | 42.0B | 128K | ~25.20 | ~75.60 |
V
T
I
A
J
|
Inferred |
|
mistral-medium-latest
mistral-medium-3 |
Mistral | 42.0B | 128K | ~25.20 | ~75.60 |
V
T
I
A
J
|
Inferred |
|
mistral-medium-latest
mistral-medium-3-5 |
Mistral | 42.0B | 128K | ~25.20 | ~75.60 |
V
T
I
A
J
|
Inferred |
|
Mistral Medium 3.1
mistral-medium-3.1 |
Mistral | 42.0B | 128K | ~25.20 | ~75.60 |
V
T
I
A
J
|
Inferred |
| mistral-medium-latest | Mistral | 42.0B | 128K | ~25.20 | ~75.60 |
V
T
I
A
J
|
Inferred |
|
Mistral Nemo
mistral-nemo |
Mistral | 2.2B | 128K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Mistral Saba
mistral-saba |
Mistral | 8.0B | 32K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Inferred |
|
Mistral Small
mistral-small |
Mistral | 2.0B | 32K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Mistral Small 2409
mistral-small-2409 |
Mistral | 22.0B | - | ~13.20 | ~39.60 |
-
|
Estimated |
|
Mistral Small 3.1
mistral-small-3.1 |
Mistral | 2.0B | 32K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Mistral Small 3.2
mistral-small-3.2 |
Mistral | 2.0B | 32K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Mistral Small Creative
mistral-small-creative |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
mistral-small-2603
mistral-small-latest |
Mistral | 2.0B | 32K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Mistral Tiny
mistral-tiny |
Mistral | 3.1B | 32K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Mistral Large 2407 (Bedrock)
mistral/mistral-large-2407-v1:0 |
Bedrock | 77.0B | 128K | ~38.50 | ~115.50 |
T
|
Inferred |
| mistral:7b | Ollama | 7.0B | - | ~4.20 | ~12.60 |
-
|
Estimated |
|
Mistral 7B Instruct V0.3
mistralai/Mistral-7B-Instruct-v0.3 |
Together | 7.0B | - | ~4.20 | ~12.60 |
-
|
Estimated |
|
Mistral Nemo Instruct 2407
mistralai/Mistral-Nemo-Instruct-2407 |
Deepinfra | 2.2B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Mistral Small 24B Instruct 2501
mistralai/Mistral-Small-24B-Instruct-2501 |
Deepinfra | 2.0B | 33K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Mistral-Small-3
mistralai/Mistral-Small-3 |
Together | 3.7B | 33K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Mistral Small 3.2 24B Instruct 2506
mistralai/Mistral-Small-3.2-24B-Instruct-2506 |
Deepinfra | 2.2B | 128K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Mixtral-8x22B-Instruct-v0.1
mistralai/Mixtral-8x22B-Instruct-v0.1 |
Together | 141.0B | 66K | ~42.30 | ~126.90 |
V
T
I
A
J
|
Estimated |
|
Mixtral-8x7B-Instruct-v0.1
mistralai/Mixtral-8x7B-Instruct-v0.1 |
Together | 47.0B | 33K | ~14.10 | ~42.30 |
V
T
I
A
J
|
Estimated |
|
Mistral: Codestral 2508
mistralai/codestral-2508 |
Openrouter | 2.5B | 256K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
|
Mistral: Devstral 2 2512
mistralai/devstral-2512 |
Openrouter | 123.0B | 262K | ~73.80 | ~221.40 |
V
T
I
A
J
|
Estimated |
|
Mistral: Devstral 2 2512 (free)
mistralai/devstral-2512:free |
Openrouter | 123.0B | 262K | ~73.80 | ~221.40 |
-
|
Estimated |
|
Mistral: Devstral Medium
mistralai/devstral-medium |
Openrouter | 32.0B | 131K | ~19.20 | ~57.60 |
V
T
I
A
J
|
Estimated |
|
Mistral: Devstral Small 1.1
mistralai/devstral-small |
Openrouter | 24.0B | 131K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Estimated |
|
Mistral: Devstral Small 2505
mistralai/devstral-small-2505 |
Openrouter | 24.0B | 128K | ~12.00 | ~36.00 |
-
|
Estimated |
|
Mistral: Ministral 3 14B 2512
mistralai/ministral-14b-2512 |
Openrouter | 14.0B | 262K | ~8.40 | ~25.20 |
V
T
I
A
J
|
Estimated |
|
Mistral: Ministral 3B
mistralai/ministral-3b |
Openrouter | 3.0B | 131K | ~2.00 | ~6.00 |
-
|
Estimated |
|
Mistral: Ministral 3 3B 2512
mistralai/ministral-3b-2512 |
Openrouter | 3.0B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
|
Mistral: Ministral 8B
mistralai/ministral-8b |
Openrouter | 8.0B | 131K | ~4.80 | ~14.40 |
-
|
Estimated |
|
Mistral: Ministral 3 8B 2512
mistralai/ministral-8b-2512 |
Openrouter | 8.0B | 262K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
|
Mistral: Ministral 3 8B 2512 (batch)
mistralai/ministral-8b-2512:batch |
Openrouter | 8.0B | 262K | ~4.80 | ~14.40 |
-
|
Estimated |
|
Mistral: Mistral 7B Instruct
mistralai/mistral-7b-instruct |
Openrouter | 7.0B | 33K | ~4.20 | ~12.60 |
-
|
Estimated |
|
Mistral: Mistral 7B Instruct v0.1
mistralai/mistral-7b-instruct-v0.1 |
Openrouter | 7.3B | 3K | ~3.65 | ~10.95 |
V
T
I
A
J
|
Estimated |
|
Mistral 7b Instruct V0.2
mistralai/mistral-7b-instruct-v0.2 |
Replicate | 3.1B | 33K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Mistral: Mistral 7B Instruct v0.3
mistralai/mistral-7b-instruct-v0.3 |
Openrouter | 7.0B | 33K | ~4.20 | ~12.60 |
-
|
Estimated |
|
Mistral: Mistral 7B Instruct (free)
mistralai/mistral-7b-instruct:free |
Openrouter | 7.3B | 33K | ~3.65 | ~10.95 |
-
|
Estimated |
|
Mistral Large
mistralai/mistral-large |
Openrouter | 123.0B | 128K | ~73.80 | ~221.40 |
V
T
I
A
J
|
Estimated |
|
Mistral Large 2407
mistralai/mistral-large-2407 |
Openrouter | 2.4B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
|
Mistral Large 2411
mistralai/mistral-large-2411 |
Openrouter | 123.0B | 131K | ~49.20 | ~147.60 |
V
T
I
A
J
|
Research |
|
Mistral: Mistral Large 3 2512
mistralai/mistral-large-2512 |
Openrouter | 41.0B | 262K | ~24.60 | ~73.80 |
V
T
I
A
J
|
Estimated |
|
Mistral: Mistral Large 3 2512 (batch)
mistralai/mistral-large-2512:batch |
Openrouter | 41.0B | 262K | ~24.60 | ~73.80 |
-
|
Estimated |
|
Mistral: Mistral Medium 3
mistralai/mistral-medium-3 |
Openrouter | 70.0B | 131K | ~42.00 | ~126.00 |
V
T
I
A
J
|
Estimated |
|
Mistral: Mistral Medium 3.5
mistralai/mistral-medium-3-5 |
Openrouter | 128.0B | 262K | ~76.80 | ~230.40 |
-
|
Estimated |
|
Mistral: Mistral Medium 3.5 (batch)
mistralai/mistral-medium-3-5:batch |
Openrouter | 128.0B | 262K | ~76.80 | ~230.40 |
-
|
Estimated |
|
Mistral: Mistral Medium 3.1
mistralai/mistral-medium-3.1 |
Openrouter | 70.0B | 131K | ~42.00 | ~126.00 |
V
T
I
A
J
|
Estimated |
|
Mistral: Mistral Nemo
mistralai/mistral-nemo |
Openrouter | 12.0B | 131K | ~7.20 | ~21.60 |
V
T
I
A
J
|
Estimated |
|
Mistral: Saba
mistralai/mistral-saba |
Openrouter | 24.0B | 33K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Estimated |
|
Mistral: Mistral Small 3
mistralai/mistral-small-24b-instruct-2501 |
Openrouter | 24.0B | 33K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Estimated |
|
Mistral: Mistral Small 4
mistralai/mistral-small-2603 |
Openrouter | 9.6B | 262K | ~5.76 | ~17.28 |
V
T
I
A
J
|
Inferred |
|
Mistral: Mistral Small 3.1 24B
mistralai/mistral-small-3.1-24b-instruct |
Openrouter | 24.0B | 128K | ~14.40 | ~43.20 |
V
T
I
A
J
|
Estimated |
|
Mistral: Mistral Small 3.1 24B (free)
mistralai/mistral-small-3.1-24b-instruct:free |
Openrouter | 24.0B | 128K | ~14.40 | ~43.20 |
-
|
Estimated |
|
Mistral: Mistral Small 3.2 24B
mistralai/mistral-small-3.2-24b-instruct |
Openrouter | 24.0B | 128K | ~14.40 | ~43.20 |
V
T
I
A
J
|
Estimated |
|
Mistral: Mistral Small Creative
mistralai/mistral-small-creative |
Openrouter | 3.7B | 33K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Mistral Tiny
mistralai/mistral-tiny |
Openrouter | 8.0B | 33K | ~4.00 | ~12.00 |
-
|
Estimated |
|
Mistral: Mixtral 8x22B Instruct
mistralai/mixtral-8x22b-instruct |
Openrouter | 141.0B | 66K | ~42.30 | ~126.90 |
V
T
I
A
J
|
Estimated |
|
Mistral: Mixtral 8x7B Instruct
mistralai/mixtral-8x7b-instruct |
Openrouter | 47.0B | 33K | ~14.10 | ~42.30 |
V
T
I
A
J
|
Estimated |
|
Mixtral 8x7b Instruct V0.1
mistralai/mixtral-8x7b-instruct-v0.1 |
Replicate | 20.0B | 33K | ~7.20 | ~21.60 |
V
T
I
A
J
|
Inferred |
|
Mistral: Pixtral 12B
mistralai/pixtral-12b |
Openrouter | 12.0B | 33K | ~8.64 | ~25.92 |
-
|
Estimated |
|
Mistral: Pixtral Large 2411
mistralai/pixtral-large-2411 |
Openrouter | 124.0B | 131K | ~74.40 | ~223.20 |
V
T
I
A
J
|
Estimated |
|
Mistral: Voxtral Small 24B 2507
mistralai/voxtral-small-24b-2507 |
Openrouter | 24.0B | 32K | ~14.40 | ~43.20 |
V
T
I
A
J
|
Estimated |
|
Mixtral 8x22b Instruct
mixtral-8x22b-instruct |
Mistral | 70.0B | 64K | ~25.20 | ~75.60 |
V
T
I
A
J
|
Inferred |
|
Mixtral 8x7b 32768
mixtral-8x7b-32768 |
Groq | 47.0B | 33K | ~14.10 | ~42.30 |
V
T
I
A
J
|
Estimated |
|
Mixtral 8x7b Instruct
mixtral-8x7b-instruct |
Mistral | 6.3B | 32K | ~2.27 | ~6.80 |
V
T
I
A
J
|
Inferred |
| mixtral:8x22b | Ollama | 141.0B | - | ~42.30 | ~126.90 |
-
|
Estimated |
| mixtral:8x7b | Ollama | 47.0B | - | ~14.10 | ~42.30 |
-
|
Estimated |
|
Moondream: Moondream 3 Preview
moondream/moondream3-preview |
Openrouter | 9.0B | 32K | ~5.40 | ~16.20 |
-
|
Estimated |
|
Moondream: Moondream 3.1
moondream/moondream3.1-9b-a2b |
Openrouter | 9.0B | 32K | ~5.40 | ~16.20 |
-
|
Estimated |
|
Moonshot V1 128k
moonshot-v1-128k |
Moonshot | 77.0B | 131K | ~46.20 | ~138.60 |
V
T
I
A
J
|
Inferred |
|
Moonshot V1 128k Vision Preview
moonshot-v1-128k-vision-preview |
Moonshot | 77.0B | 131K | ~46.20 | ~138.60 |
V
T
I
A
J
|
Inferred |
|
Moonshot V1 32k
moonshot-v1-32k |
Moonshot | 43.0B | 33K | ~25.80 | ~77.40 |
V
T
I
A
J
|
Inferred |
|
Moonshot V1 32k Vision Preview
moonshot-v1-32k-vision-preview |
Moonshot | 43.0B | 33K | ~25.80 | ~77.40 |
V
T
I
A
J
|
Inferred |
|
Moonshot V1 8k
moonshot-v1-8k |
Moonshot | 25.0B | 8K | ~15.00 | ~45.00 |
V
T
I
A
J
|
Inferred |
|
Moonshot V1 8k Vision Preview
moonshot-v1-8k-vision-preview |
Moonshot | 25.0B | 8K | ~15.00 | ~45.00 |
V
T
I
A
J
|
Inferred |
|
Kimi-K2.5
moonshotai/Kimi-K2.5 |
Together | 57.0B | 256K | ~34.20 | ~102.60 |
V
T
I
A
J
|
Inferred |
|
Kimi K2.6
moonshotai/Kimi-K2.6 |
Deepinfra | 64.0B | 262K | ~38.40 | ~115.20 |
V
T
I
A
J
|
Inferred |
|
Kimi K3
moonshotai/Kimi-K3 |
Deepinfra | 200.0B | 1.0M | ~120.00 | ~360.00 |
V
T
I
A
J
|
Inferred |
|
MoonshotAI: Kimi Dev 72B
moonshotai/kimi-dev-72b |
Openrouter | 72.0B | 131K | ~36.00 | ~108.00 |
-
|
Estimated |
|
MoonshotAI: Kimi K2 0711
moonshotai/kimi-k2 |
Openrouter | 32.0B | 131K | ~9.60 | ~28.80 |
V
T
I
A
J
|
Estimated |
|
MoonshotAI: Kimi K2 0905
moonshotai/kimi-k2-0905 |
Openrouter | 32.0B | 262K | ~9.60 | ~28.80 |
V
T
I
A
J
|
Estimated |
|
MoonshotAI: Kimi K2 0905 (exacto)
moonshotai/kimi-k2-0905:exacto |
Openrouter | 32.0B | 262K | ~9.60 | ~28.80 |
-
|
Estimated |
|
Moonshotai/kimi K2 Instruct
moonshotai/kimi-k2-instruct |
Groq | 55.0B | 131K | ~33.00 | ~99.00 |
V
T
I
A
J
|
Inferred |
|
Moonshotai/kimi K2 Instruct 0905
moonshotai/kimi-k2-instruct-0905 |
Groq | 60.0B | 262K | ~36.00 | ~108.00 |
V
T
I
A
J
|
Inferred |
|
MoonshotAI: Kimi K2 Thinking
moonshotai/kimi-k2-thinking |
Redpill | 46.0B | 262K | ~27.60 | ~82.80 |
V
T
I
A
J
|
Inferred |
|
MoonshotAI: Kimi K2.5
moonshotai/kimi-k2.5 |
Openrouter | 46.0B | 262K | ~27.60 | ~82.80 |
V
T
I
A
J
|
Inferred |
|
MoonshotAI: Kimi K2.6
moonshotai/kimi-k2.6 |
Openrouter | 57.0B | 262K | ~34.20 | ~102.60 |
V
T
I
A
J
|
Inferred |
|
MoonshotAI: Kimi K2.7 Code
moonshotai/kimi-k2.7-code |
Redpill | 68.0B | 262K | ~40.80 | ~122.40 |
V
T
I
A
J
|
Inferred |
|
MoonshotAI: Kimi K2 0711 (free)
moonshotai/kimi-k2:free |
Openrouter | 32.0B | 33K | ~9.60 | ~28.80 |
-
|
Estimated |
|
MoonshotAI: Kimi K3
moonshotai/kimi-k3 |
Redpill | 240.0B | 1.0M | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
|
MoonshotAI: Kimi Linear 48B A3B Instruct
moonshotai/kimi-linear-48b-a3b-instruct |
Openrouter | 48.0B | 1.0M | ~24.00 | ~72.00 |
-
|
Estimated |
|
Morph: Morph V3 Fast
morph/morph-v3-fast |
Openrouter | 25.0B | 82K | ~15.00 | ~45.00 |
V
T
I
A
J
|
Inferred |
|
Morph: Morph V3 Large
morph/morph-v3-large |
Openrouter | 44.0B | 262K | ~26.40 | ~79.20 |
V
T
I
A
J
|
Inferred |
|
NeverSleep: Lumimaid v0.2 8B
neversleep/llama-3.1-lumimaid-8b |
Openrouter | 8.0B | 33K | ~4.00 | ~12.00 |
-
|
Estimated |
|
Noromaid 20B
neversleep/noromaid-20b |
Openrouter | 20.0B | 4K | ~10.00 | ~30.00 |
-
|
Estimated |
|
Nex AGI: DeepSeek V3.1 Nex N1
nex-agi/deepseek-v3.1-nex-n1 |
Openrouter | 6.5B | 131K | ~2.34 | ~7.02 |
V
T
I
A
J
|
Inferred |
|
Nous: DeepHermes 3 Mistral 24B Preview
nousresearch/deephermes-3-mistral-24b-preview |
Openrouter | 24.0B | 33K | ~12.00 | ~36.00 |
-
|
Estimated |
|
NousResearch: Hermes 2 Pro - Llama-3 8B
nousresearch/hermes-2-pro-llama-3-8b |
Openrouter | 8.0B | 8K | ~4.00 | ~12.00 |
V
T
I
A
J
|
Estimated |
|
Nous: Hermes 3 405B Instruct
nousresearch/hermes-3-llama-3.1-405b |
Redpill | 22.0B | 131K | ~13.20 | ~39.60 |
V
T
I
A
J
|
Inferred |
|
Nous: Hermes 3 405B Instruct (free)
nousresearch/hermes-3-llama-3.1-405b:free |
Openrouter | 405.0B | 131K | ~202.50 | ~607.50 |
V
T
I
A
J
|
Estimated |
|
Nous: Hermes 3 70B Instruct
nousresearch/hermes-3-llama-3.1-70b |
Openrouter | 7.0B | 131K | ~3.50 | ~10.50 |
V
T
I
A
J
|
Estimated |
|
Nous: Hermes 4 405B
nousresearch/hermes-4-405b |
Openrouter | 405.0B | 131K | ~202.50 | ~607.50 |
V
T
I
A
J
|
Estimated |
|
Nous: Hermes 4 70B
nousresearch/hermes-4-70b |
Openrouter | 70.0B | 131K | ~35.00 | ~105.00 |
V
T
I
A
J
|
Estimated |
|
Llama 3.1 Nemotron 70B Instruct
nvidia/Llama-3.1-Nemotron-70B-Instruct |
Deepinfra | 70.0B | - | ~42.00 | ~126.00 |
-
|
Estimated |
|
NVIDIA Nemotron 3 Super 120B A12B
nvidia/NVIDIA-Nemotron-3-Super-120B-A12B |
Deepinfra | 5.7B | 262K | ~3.42 | ~10.26 |
V
T
I
A
J
|
Inferred |
|
NVIDIA Nemotron 3 Ultra 550B A55B
nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B |
Deepinfra | 48.0B | 262K | ~28.80 | ~86.40 |
V
T
I
A
J
|
Inferred |
|
NVIDIA Nemotron 3.5 Lightning
nvidia/NVIDIA-Nemotron-3.5-Lightning |
Deepinfra | 2.4B | 262K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
NVIDIA Nemotron 3.5 Super VL
nvidia/NVIDIA-Nemotron-3.5-Super-VL |
Deepinfra | 24.0B | 262K | ~14.40 | ~43.20 |
V
T
I
A
J
|
Inferred |
|
Nemotron 3 Nano 30B A3B
nvidia/Nemotron-3-Nano-30B-A3B |
Deepinfra | 2.4B | 262K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Nemotron Content Safety 3.5
nvidia/Nemotron-Content-Safety-3.5 |
Deepinfra | 2.2B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
NVIDIA: Llama 3.1 Nemotron 70B Instruct
nvidia/llama-3.1-nemotron-70b-instruct |
Openrouter | 70.0B | 131K | ~42.00 | ~126.00 |
V
T
I
A
J
|
Estimated |
|
NVIDIA: Llama 3.1 Nemotron Ultra 253B v1
nvidia/llama-3.1-nemotron-ultra-253b-v1 |
Openrouter | 253.0B | 131K | ~126.50 | ~379.50 |
-
|
Estimated |
|
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5
nvidia/llama-3.3-nemotron-super-49b-v1.5 |
Openrouter | 49.0B | 131K | ~24.50 | ~73.50 |
V
T
I
A
J
|
Estimated |
|
Llama Nemotron Embed Vl 1b V2
nvidia/llama-nemotron-embed-vl-1b-v2 |
Deepinfra | 2.0B | 10K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
NVIDIA: Nemotron 3 Nano 30B A3B
nvidia/nemotron-3-nano-30b-a3b |
Openrouter | 30.0B | 262K | ~9.00 | ~27.00 |
V
T
I
A
J
|
Estimated |
|
NVIDIA: Nemotron 3 Nano 30B A3B (free)
nvidia/nemotron-3-nano-30b-a3b:free |
Openrouter | 30.0B | 256K | ~9.00 | ~27.00 |
V
T
I
A
J
|
Estimated |
|
NVIDIA: Nemotron 3 Nano Omni (free)
nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free |
Openrouter | 30.0B | 256K | ~18.00 | ~54.00 |
-
|
Estimated |
|
NVIDIA: Nemotron 3 Super
nvidia/nemotron-3-super-120b-a12b |
Openrouter | 120.0B | 262K | ~36.00 | ~108.00 |
V
T
I
A
J
|
Estimated |
|
NVIDIA: Nemotron 3 Super (free)
nvidia/nemotron-3-super-120b-a12b:free |
Openrouter | 120.0B | 262K | ~36.00 | ~108.00 |
V
T
I
A
J
|
Estimated |
|
NVIDIA: Nemotron 3 Ultra
nvidia/nemotron-3-ultra-550b-a55b |
Openrouter | 55.0B | 262K | ~16.50 | ~49.50 |
-
|
Estimated |
|
NVIDIA: Nemotron 3 Ultra (free)
nvidia/nemotron-3-ultra-550b-a55b:free |
Openrouter | 55.0B | 1.0M | ~16.50 | ~49.50 |
-
|
Estimated |
|
NVIDIA: Nemotron 3.5 Content Safety
nvidia/nemotron-3.5-content-safety |
Openrouter | 4.0B | 131K | ~2.40 | ~7.20 |
-
|
Estimated |
|
NVIDIA: Nemotron 3.5 Content Safety (free)
nvidia/nemotron-3.5-content-safety:free |
Openrouter | 4.0B | 128K | ~2.40 | ~7.20 |
-
|
Estimated |
|
NVIDIA: Nemotron 3.5 Lightning
nvidia/nemotron-3.5-lightning |
Redpill | 3.0B | 262K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
|
NVIDIA: Nemotron 3.5 Lightning (free)
nvidia/nemotron-3.5-lightning:free |
Openrouter | 3.0B | 1.0M | ~2.00 | ~6.00 |
-
|
Estimated |
|
NVIDIA: Nemotron 3.5 Super VL
nvidia/nemotron-3.5-super-vl |
Openrouter | 12.0B | 1.0M | ~7.20 | ~21.60 |
-
|
Estimated |
|
NVIDIA: Nemotron 3.5 Super VL (free)
nvidia/nemotron-3.5-super-vl:free |
Openrouter | 12.0B | 1.0M | ~7.20 | ~21.60 |
-
|
Estimated |
|
NVIDIA: Nemotron Nano 12B 2 VL
nvidia/nemotron-nano-12b-v2-vl |
Openrouter | 12.0B | 131K | ~7.20 | ~21.60 |
V
T
I
A
J
|
Estimated |
|
NVIDIA: Nemotron Nano 12B 2 VL (free)
nvidia/nemotron-nano-12b-v2-vl:free |
Openrouter | 12.0B | 128K | ~7.20 | ~21.60 |
V
T
I
A
J
|
Estimated |
|
NVIDIA: Nemotron Nano 9B V2
nvidia/nemotron-nano-9b-v2 |
Openrouter | 9.0B | 131K | ~4.50 | ~13.50 |
V
T
I
A
J
|
Estimated |
|
NVIDIA: Nemotron Nano 9B V2 (free)
nvidia/nemotron-nano-9b-v2:free |
Openrouter | 9.0B | 128K | ~4.50 | ~13.50 |
V
T
I
A
J
|
Estimated |
| o1 | Openai | 200.0B | 200K | ~120.00 | ~360.00 |
V
T
I
A
J
|
Estimated |
| o1-2024-12-17 | Openai | 8.0B | 200K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
| o1-mini | Openai | 150.0B | 128K | ~90.00 | ~270.00 |
V
T
I
A
J
|
Inferred |
|
O1 Mini 2024 09 12
o1-mini-2024-09-12 |
Openai | 100.0B | - | ~30.00 | ~90.00 |
-
|
Estimated |
| o1-preview | Openai | 660.0B | 128K | ~396.00 | ~1,188.00 |
V
T
I
A
J
|
Inferred |
|
O1 Preview 2024 09 12
o1-preview-2024-09-12 |
Openai | 300.0B | - | ~90.00 | ~270.00 |
-
|
Estimated |
| o1-pro | Openai | 50.0B | 200K | ~30.00 | ~90.00 |
V
T
I
A
J
|
Estimated |
| o1-pro-2025-03-19 | Openai | 50.0B | 200K | ~30.00 | ~90.00 |
V
T
I
A
J
|
Estimated |
| o3 | Openai | 560.0B | 200K | ~336.00 | ~1,008.00 |
V
T
I
A
J
|
Inferred |
| o3-2025-04-16 | Openai | 560.0B | 200K | ~336.00 | ~1,008.00 |
V
T
I
A
J
|
Inferred |
| o3-mini | Openai | 71.0B | 200K | ~42.60 | ~127.80 |
V
T
I
A
J
|
Inferred |
| o3-mini-2025-01-31 | Openai | 71.0B | 200K | ~42.60 | ~127.80 |
V
T
I
A
J
|
Inferred |
| o4-mini | Openai | 71.0B | 200K | ~42.60 | ~127.80 |
V
T
I
A
J
|
Inferred |
| o4-mini-2025-04-16 | Openai | 71.0B | 200K | ~42.60 | ~127.80 |
V
T
I
A
J
|
Inferred |
| o4-mini-deep-research | Openai | 71.0B | 200K | ~42.60 | ~127.80 |
V
T
I
A
J
|
Inferred |
| o4-mini-deep-research-2025-06-26 | Openai | 71.0B | 200K | ~42.60 | ~127.80 |
V
T
I
A
J
|
Inferred |
|
Omni Moderation 2024 09 26
omni-moderation-2024-09-26 |
Openai | 2.0B | - | ~2.00 | ~6.00 |
-
|
Inferred |
|
Omni Moderation Latest
omni-moderation-latest |
Openai | 2.0B | - | ~2.00 | ~6.00 |
-
|
Inferred |
|
Mistral: Mistral 7B Instruct
open-mistral-7b |
Mistral | 7.0B | - | ~4.20 | ~12.60 |
-
|
Estimated |
| open-mistral-nemo | Mistral | 12.0B | 128K | ~7.20 | ~21.60 |
V
T
I
A
J
|
Estimated |
|
open-mistral-nemo
open-mistral-nemo-2407 |
Mistral | 2.2B | 128K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Open Mixtral 8x22b
open-mixtral-8x22b |
Mistral | 141.0B | 64K | ~42.30 | ~126.90 |
V
T
I
A
J
|
Estimated |
|
Open Mixtral 8x7b
open-mixtral-8x7b |
Mistral | 47.0B | 32K | ~14.10 | ~42.30 |
V
T
I
A
J
|
Estimated |
|
OpenAI: GPT-3.5 Turbo
openai/gpt-3.5-turbo |
Redpill | 20.0B | 16K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Estimated |
|
OpenAI: GPT-3.5 Turbo (older v0613)
openai/gpt-3.5-turbo-0613 |
Openrouter | 34.0B | 4K | ~20.40 | ~61.20 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-3.5 Turbo 16k
openai/gpt-3.5-turbo-16k |
Openrouter | 20.0B | 16K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Estimated |
|
OpenAI: GPT-3.5 Turbo Instruct
openai/gpt-3.5-turbo-instruct |
Openrouter | 34.0B | 4K | ~20.40 | ~61.20 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-4
openai/gpt-4 |
Redpill | 200.0B | 8K | ~120.00 | ~360.00 |
V
T
I
A
J
|
Estimated |
|
OpenAI: GPT-4 (older v0314)
openai/gpt-4-0314 |
Openrouter | 600.0B | 8K | ~360.00 | ~1,080.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-4 Turbo (older v1106)
openai/gpt-4-1106-preview |
Openrouter | 440.0B | 128K | ~264.00 | ~792.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-4 Turbo
openai/gpt-4-turbo |
Openrouter | 200.0B | 128K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Estimated |
|
OpenAI: GPT-4 Turbo Preview
openai/gpt-4-turbo-preview |
Openrouter | 200.0B | 128K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Estimated |
|
OpenAI: GPT-4.1
openai/gpt-4.1 |
Openrouter | 110.0B | 1.0M | ~66.00 | ~198.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-4.1 Mini
openai/gpt-4.1-mini |
Openrouter | 8.0B | 1.0M | ~5.76 | ~17.28 |
V
T
I
A
J
|
Estimated |
|
OpenAI: GPT-4.1 Nano
openai/gpt-4.1-nano |
Openrouter | 4.0B | 1.0M | ~2.88 | ~8.64 |
V
T
I
A
J
|
Estimated |
|
OpenAI: GPT-4o
openai/gpt-4o |
Redpill | 200.0B | 128K | ~96.00 | ~288.00 |
V
T
I
A
J
|
Research |
|
OpenAI: GPT-4o (2024-05-13)
openai/gpt-4o-2024-05-13 |
Openrouter | 200.0B | 128K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Estimated |
|
OpenAI: GPT-4o (2024-08-06)
openai/gpt-4o-2024-08-06 |
Openrouter | 200.0B | 128K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Estimated |
|
OpenAI: GPT-4o (2024-11-20)
openai/gpt-4o-2024-11-20 |
Openrouter | 200.0B | 128K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Estimated |
|
OpenAI: GPT-4o Audio
openai/gpt-4o-audio-preview |
Openrouter | 120.0B | 128K | ~72.00 | ~216.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-4o-mini
openai/gpt-4o-mini |
Redpill | 8.0B | 128K | ~5.76 | ~17.28 |
V
T
I
A
J
|
Estimated |
|
OpenAI: GPT-4o-mini (2024-07-18)
openai/gpt-4o-mini-2024-07-18 |
Openrouter | 8.0B | 128K | ~5.76 | ~17.28 |
V
T
I
A
J
|
Estimated |
|
OpenAI: GPT-4o-mini Search Preview
openai/gpt-4o-mini-search-preview |
Openrouter | 8.0B | 128K | ~5.76 | ~17.28 |
V
T
I
A
J
|
Estimated |
|
OpenAI: GPT-4o Search Preview
openai/gpt-4o-search-preview |
Openrouter | 120.0B | 128K | ~72.00 | ~216.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5
openai/gpt-5 |
Openrouter | 140.0B | 400K | ~84.00 | ~252.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5 Chat
openai/gpt-5-chat |
Openrouter | 120.0B | 128K | ~72.00 | ~216.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5 Codex
openai/gpt-5-codex |
Openrouter | 140.0B | 400K | ~84.00 | ~252.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5 Image
openai/gpt-5-image |
Openrouter | 0.0B | 400K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
|
OpenAI: GPT-5 Image Mini
openai/gpt-5-image-mini |
Openrouter | 0.0B | 400K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
|
OpenAI: GPT-5 Mini
openai/gpt-5-mini |
Redpill | 46.0B | 400K | ~27.60 | ~82.80 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5 Mini (batch)
openai/gpt-5-mini:batch |
Openrouter | 0.0B | 400K | ~2.00 | ~6.00 |
-
|
Estimated |
|
Gpt 5 Nano
openai/gpt-5-nano |
Perplexity | 10.0B | - | ~7.20 | ~21.60 |
-
|
Estimated |
|
OpenAI: GPT-5 Pro
openai/gpt-5-pro |
Openrouter | 1,020.0B | 400K | ~612.00 | ~1,836.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5.1
openai/gpt-5.1 |
Openrouter | 140.0B | 400K | ~84.00 | ~252.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5.1 Chat
openai/gpt-5.1-chat |
Openrouter | 120.0B | 128K | ~72.00 | ~216.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5.1-Codex
openai/gpt-5.1-codex |
Openrouter | 140.0B | 400K | ~84.00 | ~252.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5.1-Codex-Max
openai/gpt-5.1-codex-max |
Openrouter | 140.0B | 400K | ~84.00 | ~252.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5.1-Codex-Mini
openai/gpt-5.1-codex-mini |
Openrouter | 20.0B | 400K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Estimated |
|
OpenAI: GPT-5.2
openai/gpt-5.2 |
Openrouter | 200.0B | 400K | ~120.00 | ~360.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5.2 Chat
openai/gpt-5.2-chat |
Openrouter | 180.0B | 128K | ~108.00 | ~324.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5.2-Codex
openai/gpt-5.2-codex |
Openrouter | 200.0B | 400K | ~120.00 | ~360.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5.2 Pro
openai/gpt-5.2-pro |
Openrouter | 1,200.0B | 400K | ~720.00 | ~2,160.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5.3 Chat
openai/gpt-5.3-chat |
Openrouter | 180.0B | 128K | ~108.00 | ~324.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5.3-Codex
openai/gpt-5.3-codex |
Openrouter | 200.0B | 400K | ~120.00 | ~360.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5.4
openai/gpt-5.4 |
Redpill | 240.0B | 1.1M | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5.4 Image 2
openai/gpt-5.4-image-2 |
Openrouter | 0.0B | 272K | ~2.00 | ~6.00 |
-
|
Estimated |
|
OpenAI: GPT-5.4 Mini
openai/gpt-5.4-mini |
Redpill | 72.0B | 400K | ~43.20 | ~129.60 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5.4 Mini (batch)
openai/gpt-5.4-mini:batch |
Openrouter | 0.0B | 400K | ~2.00 | ~6.00 |
-
|
Estimated |
|
OpenAI: GPT-5.4 Nano
openai/gpt-5.4-nano |
Openrouter | 31.0B | 400K | ~18.60 | ~55.80 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5.4 Pro
openai/gpt-5.4-pro |
Openrouter | 1,250.0B | 1.1M | ~750.00 | ~2,250.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5.5
openai/gpt-5.5 |
Redpill | 480.0B | 1.1M | ~288.00 | ~864.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5.6 Luna
openai/gpt-5.6-luna |
Redpill | 43.0B | 272K | ~25.80 | ~77.40 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5.6 Sol
openai/gpt-5.6-sol |
Redpill | 600.0B | 272K | ~360.00 | ~1,080.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-5.6 Terra
openai/gpt-5.6-terra |
Redpill | 290.0B | 272K | ~174.00 | ~522.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-6 Astra
openai/gpt-6-astra |
Redpill | 640.0B | 272K | ~384.00 | ~1,152.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-6 Luna
openai/gpt-6-luna |
Redpill | 7.1B | 272K | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-6 Sol
openai/gpt-6-sol |
Redpill | 140.0B | 272K | ~84.00 | ~252.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT-6.1 Sol
openai/gpt-6.1-sol |
Redpill | 140.0B | 272K | ~84.00 | ~252.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT Audio
openai/gpt-audio |
Openrouter | 120.0B | 128K | ~72.00 | ~216.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT Audio Mini
openai/gpt-audio-mini |
Openrouter | 47.0B | 128K | ~28.20 | ~84.60 |
V
T
I
A
J
|
Inferred |
|
Gpt Oss 120b
openai/gpt-oss-120b |
Deepinfra | 2.2B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Gpt Oss 120b Turbo
openai/gpt-oss-120b-Turbo |
Deepinfra | 8.8B | 131K | ~5.28 | ~15.84 |
V
T
I
A
J
|
Inferred |
|
Gpt Oss 120b Ultra
openai/gpt-oss-120b-Ultra |
Deepinfra | 20.0B | 131K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: gpt-oss-120b (batch)
openai/gpt-oss-120b:batch |
Openrouter | 120.0B | 131K | ~36.00 | ~108.00 |
-
|
Estimated |
|
OpenAI: gpt-oss-120b (exacto)
openai/gpt-oss-120b:exacto |
Openrouter | 120.0B | 131K | ~36.00 | ~108.00 |
-
|
Estimated |
|
OpenAI: gpt-oss-120b (free)
openai/gpt-oss-120b:free |
Openrouter | 120.0B | 131K | ~36.00 | ~108.00 |
V
T
I
A
J
|
Estimated |
|
Gpt Oss 20b
openai/gpt-oss-20b |
Deepinfra | 2.2B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: gpt-oss-20b (batch)
openai/gpt-oss-20b:batch |
Openrouter | 20.0B | 131K | ~6.00 | ~18.00 |
-
|
Estimated |
|
OpenAI: gpt-oss-20b (free)
openai/gpt-oss-20b:free |
Openrouter | 20.0B | 131K | ~6.00 | ~18.00 |
V
T
I
A
J
|
Estimated |
|
Safety GPT OSS 20B
openai/gpt-oss-safeguard-20b |
Groq | 4.0B | 131K | ~2.40 | ~7.20 |
V
T
I
A
J
|
Inferred |
|
OpenAI: o1
openai/o1 |
Openrouter | 200.0B | 200K | ~120.00 | ~360.00 |
V
T
I
A
J
|
Estimated |
|
OpenAI: o1-pro
openai/o1-pro |
Openrouter | 2,280.0B | 200K | ~1,368.00 | ~4,104.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: o3
openai/o3 |
Openrouter | 110.0B | 200K | ~66.00 | ~198.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: o3 Deep Research
openai/o3-deep-research |
Openrouter | 560.0B | 200K | ~336.00 | ~1,008.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: o3 Mini
openai/o3-mini |
Openrouter | 50.0B | 200K | ~30.00 | ~90.00 |
V
T
I
A
J
|
Estimated |
|
OpenAI: o3 Mini High
openai/o3-mini-high |
Openrouter | 71.0B | 200K | ~42.60 | ~127.80 |
V
T
I
A
J
|
Inferred |
|
OpenAI: o3 Pro
openai/o3-pro |
Openrouter | 830.0B | 200K | ~498.00 | ~1,494.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: o4 Mini
openai/o4-mini |
Openrouter | 71.0B | 200K | ~42.60 | ~127.80 |
V
T
I
A
J
|
Inferred |
|
OpenAI: o4 Mini Deep Research
openai/o4-mini-deep-research |
Openrouter | 110.0B | 200K | ~66.00 | ~198.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: o4 Mini High
openai/o4-mini-high |
Openrouter | 71.0B | 200K | ~42.60 | ~127.80 |
V
T
I
A
J
|
Inferred |
|
Whisper
openai/whisper |
Replicate | 17.0B | - | ~10.20 | ~30.60 |
V
T
I
A
J
|
Inferred |
|
OpenGVLab: InternVL3 78B
opengvlab/internvl3-78b |
Openrouter | 78.0B | 33K | ~46.80 | ~140.40 |
-
|
Estimated |
|
Auto Router
openrouter/auto |
Openrouter | 176.0B | 2.0M | ~52.80 | ~158.40 |
V
T
I
A
J
|
Estimated |
|
Perplexity: Sonar
perplexity/sonar |
Openrouter | 20.0B | 127K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Inferred |
|
Perplexity: Sonar Deep Research
perplexity/sonar-deep-research |
Openrouter | 99.0B | 128K | ~59.40 | ~178.20 |
V
T
I
A
J
|
Inferred |
|
Perplexity: Sonar Pro
perplexity/sonar-pro |
Openrouter | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
|
Perplexity: Sonar Pro Search
perplexity/sonar-pro-search |
Openrouter | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
|
Perplexity: Sonar Reasoning Pro
perplexity/sonar-reasoning-pro |
Openrouter | 99.0B | 128K | ~59.40 | ~178.20 |
V
T
I
A
J
|
Inferred |
|
DeepSeek V3.1
phala/deepseek-chat-v3.1 |
Redpill | 48.0B | 164K | ~17.28 | ~51.84 |
V
T
I
A
J
|
Inferred |
|
DeepSeek: DeepSeek V3.2
phala/deepseek-v3.2 |
Redpill | 5.3B | 164K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Google: Gemma 3 27B
phala/gemma-3-27b-it |
Redpill | 4.8B | 54K | ~2.88 | ~8.64 |
V
T
I
A
J
|
Inferred |
|
Phala: Gemma-4 26B-A4B Uncensored (Heretic)
phala/gemma-4-26b-a4b-uncensored |
Redpill | 13.0B | 262K | ~7.80 | ~23.40 |
V
T
I
A
J
|
Inferred |
|
Z.AI: GLM 4.7
phala/glm-4.7 |
Redpill | 57.0B | 131K | ~34.20 | ~102.60 |
V
T
I
A
J
|
Inferred |
|
Z.AI: GLM 4.7 Flash
phala/glm-4.7-flash |
Redpill | 6.1B | 203K | ~3.66 | ~10.98 |
V
T
I
A
J
|
Inferred |
|
Z.AI: GLM 5
phala/glm-5 |
Redpill | 64.0B | 203K | ~38.40 | ~115.20 |
V
T
I
A
J
|
Inferred |
|
Z.ai: GLM 5.1
phala/glm-5.1 |
Redpill | 70.0B | 203K | ~42.00 | ~126.00 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT OSS 120B
phala/gpt-oss-120b |
Redpill | 6.4B | 131K | ~3.84 | ~11.52 |
V
T
I
A
J
|
Inferred |
|
OpenAI: GPT OSS 20B
phala/gpt-oss-20b |
Redpill | 2.2B | 131K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
MoonshotAI: Kimi K2.5
phala/kimi-k2.5 |
Redpill | 60.0B | 262K | ~36.00 | ~108.00 |
V
T
I
A
J
|
Inferred |
|
MoonshotAI: Kimi K2.6
phala/kimi-k2.6 |
Redpill | 73.0B | 262K | ~43.80 | ~131.40 |
V
T
I
A
J
|
Inferred |
|
Xiaomi: MiMo-V2-Flash
phala/mimo-v2-flash |
Redpill | 4.4B | 262K | ~2.64 | ~7.92 |
V
T
I
A
J
|
Inferred |
|
MiniMax: MiniMax M2.5
phala/minimax-m2.5 |
Redpill | 32.0B | 197K | ~19.20 | ~57.60 |
V
T
I
A
J
|
Inferred |
|
Qwen2.5 7B Instruct
phala/qwen-2.5-7b-instruct |
Redpill | 2.0B | 33K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Qwen: Qwen3 VL 30B A3B Instruct
phala/qwen2.5-vl-72b-instruct |
Redpill | 12.0B | 128K | ~7.20 | ~21.60 |
V
T
I
A
J
|
Inferred |
|
Qwen3 30B A3B Instruct 2507
phala/qwen3-30b-a3b-instruct-2507 |
Redpill | 6.4B | 262K | ~3.84 | ~11.52 |
V
T
I
A
J
|
Inferred |
|
Qwen: Qwen3 Coder Next
phala/qwen3-coder-next |
Redpill | 30.0B | 262K | ~18.00 | ~54.00 |
V
T
I
A
J
|
Inferred |
|
Qwen: Qwen3 VL 30B A3B Instruct
phala/qwen3-vl-30b-a3b-instruct |
Redpill | 12.0B | 128K | ~7.20 | ~21.60 |
V
T
I
A
J
|
Inferred |
|
Qwen: Qwen3.5-27B
phala/qwen3.5-27b |
Redpill | 51.0B | 262K | ~30.60 | ~91.80 |
V
T
I
A
J
|
Inferred |
|
Qwen: Qwen3.5 397B A17B
phala/qwen3.5-397b-a17b |
Redpill | 64.0B | 262K | ~38.40 | ~115.20 |
V
T
I
A
J
|
Inferred |
|
Phala: Qwen3.8 27B Uncensored (Aggressive)
phala/qwen3.8-27b-uncensored |
Redpill | 38.0B | 262K | ~22.80 | ~68.40 |
V
T
I
A
J
|
Inferred |
|
Phala: Venice Uncensored 24B
phala/uncensored-24b |
Redpill | 17.0B | 33K | ~10.20 | ~30.60 |
V
T
I
A
J
|
Inferred |
| phi3:medium | Ollama | 14.0B | - | ~8.40 | ~25.20 |
-
|
Estimated |
| phi3:mini | Ollama | 3.8B | - | ~2.28 | ~6.84 |
-
|
Estimated |
|
Mistral: Pixtral 12B
pixtral-12b-2409 |
Mistral | 12.0B | - | ~8.64 | ~25.92 |
-
|
Estimated |
|
Pixtral 12b Latest
pixtral-12b-latest |
Mistral | 2.2B | 128K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
| pixtral-large-2411 | Mistral | 77.0B | 128K | ~46.20 | ~138.60 |
V
T
I
A
J
|
Inferred |
|
pixtral-large-2411
pixtral-large-latest |
Mistral | 77.0B | 128K | ~46.20 | ~138.60 |
V
T
I
A
J
|
Inferred |
|
Poolside: Laguna S 2.1
poolside/laguna-s-2.1 |
Openrouter | 118.0B | 1.0M | ~59.00 | ~177.00 |
-
|
Estimated |
|
Poolside: Laguna S 2.1 (free)
poolside/laguna-s-2.1:free |
Openrouter | 118.0B | 262K | ~59.00 | ~177.00 |
-
|
Estimated |
|
Poolside: Laguna XS 2.1
poolside/laguna-xs-2.1 |
Openrouter | 33.0B | 262K | ~16.50 | ~49.50 |
-
|
Estimated |
|
Poolside: Laguna XS 2.1 (free)
poolside/laguna-xs-2.1:free |
Openrouter | 33.0B | 262K | ~16.50 | ~49.50 |
-
|
Estimated |
|
Prime Intellect: INTELLECT-3
prime-intellect/intellect-3 |
Openrouter | 106.0B | 131K | ~31.80 | ~95.40 |
V
T
I
A
J
|
Estimated |
|
PrismML: Ternary Bonsai 2 27B
prism-ml/ternary-bonsai-2-27b |
Openrouter | 27.0B | 262K | ~16.20 | ~48.60 |
-
|
Estimated |
|
PrismML: Ternary Bonsai 2 9B
prism-ml/ternary-bonsai-2-9b |
Openrouter | 9.0B | 262K | ~5.40 | ~16.20 |
-
|
Estimated |
|
Qwen 2.5 32b
qwen-2.5-32b |
Groq | 4.7B | 33K | ~2.82 | ~8.46 |
V
T
I
A
J
|
Inferred |
|
Qwen 2.5 Coder 32b
qwen-2.5-coder-32b |
Groq | 4.7B | 33K | ~2.82 | ~8.46 |
V
T
I
A
J
|
Inferred |
|
Qwen 3 235b A22b Instruct 2507
qwen-3-235b-a22b-instruct-2507 |
Cerebras | 25.0B | 33K | ~15.00 | ~45.00 |
V
T
I
A
J
|
Inferred |
|
Qwen 3 8 27b
qwen-3.8-27b |
Cerebras | 5.9B | - | ~3.54 | ~10.62 |
V
T
I
A
J
|
Inferred |
|
Qwen Qwq 32b
qwen-qwq-32b |
Groq | 7.6B | 131K | ~4.56 | ~13.68 |
V
T
I
A
J
|
Inferred |
|
Qwen2.5 72B Instruct
qwen/qwen-2.5-72b-instruct |
Openrouter | 72.0B | 33K | ~43.20 | ~129.60 |
V
T
I
A
J
|
Estimated |
|
Qwen2.5 7B Instruct
qwen/qwen-2.5-7b-instruct |
Redpill | 7.0B | 33K | ~4.20 | ~12.60 |
V
T
I
A
J
|
Estimated |
|
Qwen2.5 Coder 32B Instruct
qwen/qwen-2.5-coder-32b-instruct |
Openrouter | 32.0B | 33K | ~19.20 | ~57.60 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen2.5-VL 7B Instruct
qwen/qwen-2.5-vl-7b-instruct |
Openrouter | 7.0B | 33K | ~4.20 | ~12.60 |
-
|
Estimated |
|
Qwen: Qwen2.5-VL 7B Instruct (free)
qwen/qwen-2.5-vl-7b-instruct:free |
Openrouter | 7.0B | 33K | ~4.20 | ~12.60 |
-
|
Estimated |
|
Qwen: Qwen-Max
qwen/qwen-max |
Openrouter | 58.0B | 33K | ~34.80 | ~104.40 |
V
T
I
A
J
|
Inferred |
|
Qwen: Qwen-Plus
qwen/qwen-plus |
Openrouter | 72.0B | 1.0M | ~43.20 | ~129.60 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen Plus 0728
qwen/qwen-plus-2025-07-28 |
Openrouter | 72.0B | 1.0M | ~43.20 | ~129.60 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen Plus 0728 (thinking)
qwen/qwen-plus-2025-07-28:thinking |
Openrouter | 72.0B | 1.0M | ~43.20 | ~129.60 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen-Turbo
qwen/qwen-turbo |
Openrouter | 14.0B | 131K | ~8.40 | ~25.20 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen VL Max
qwen/qwen-vl-max |
Openrouter | 43.0B | 131K | ~25.80 | ~77.40 |
V
T
I
A
J
|
Inferred |
|
Qwen: Qwen VL Plus
qwen/qwen-vl-plus |
Openrouter | 72.0B | 131K | ~51.84 | ~155.52 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen2.5 Coder 7B Instruct
qwen/qwen2.5-coder-7b-instruct |
Openrouter | 7.0B | 33K | ~3.50 | ~10.50 |
-
|
Estimated |
|
Qwen: Qwen2.5 VL 32B Instruct
qwen/qwen2.5-vl-32b-instruct |
Openrouter | 32.0B | 16K | ~19.20 | ~57.60 |
-
|
Estimated |
|
Qwen: Qwen2.5 VL 72B Instruct
qwen/qwen2.5-vl-72b-instruct |
Openrouter | 72.0B | 32K | ~43.20 | ~129.60 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 14B
qwen/qwen3-14b |
Openrouter | 14.0B | 41K | ~7.00 | ~21.00 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 235B A22B
qwen/qwen3-235b-a22b |
Openrouter | 235.0B | 131K | ~70.50 | ~211.50 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 235B A22B Instruct 2507
qwen/qwen3-235b-a22b-2507 |
Openrouter | 235.0B | 262K | ~117.50 | ~352.50 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 235B A22B Thinking 2507
qwen/qwen3-235b-a22b-thinking-2507 |
Openrouter | 235.0B | 262K | ~70.50 | ~211.50 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 235B A22B (free)
qwen/qwen3-235b-a22b:free |
Openrouter | 235.0B | 131K | ~70.50 | ~211.50 |
-
|
Estimated |
|
Qwen: Qwen3 30B A3B
qwen/qwen3-30b-a3b |
Openrouter | 30.0B | 41K | ~9.00 | ~27.00 |
V
T
I
A
J
|
Estimated |
|
Qwen3 30B A3B Instruct 2507
qwen/qwen3-30b-a3b-instruct-2507 |
Redpill | 6.4B | 262K | ~3.84 | ~11.52 |
V
T
I
A
J
|
Inferred |
|
Qwen: Qwen3 30B A3B Thinking 2507
qwen/qwen3-30b-a3b-thinking-2507 |
Openrouter | 30.0B | 131K | ~15.00 | ~45.00 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 32B
qwen/qwen3-32b |
Redpill | 5.9B | 41K | ~3.54 | ~10.62 |
V
T
I
A
J
|
Inferred |
|
Qwen: Qwen3 4B (free)
qwen/qwen3-4b:free |
Openrouter | 4.0B | 41K | ~2.00 | ~6.00 |
-
|
Estimated |
|
Qwen: Qwen3 8B
qwen/qwen3-8b |
Openrouter | 8.0B | 41K | ~4.00 | ~12.00 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 Coder 480B A35B
qwen/qwen3-coder |
Openrouter | 480.0B | 262K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 Coder 30B A3B Instruct
qwen/qwen3-coder-30b-a3b-instruct |
Openrouter | 30.0B | 160K | ~9.00 | ~27.00 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 Coder 480B A35B
qwen/qwen3-coder-480b-a35b-instruct |
Redpill | 46.0B | 262K | ~27.60 | ~82.80 |
V
T
I
A
J
|
Inferred |
|
Qwen: Qwen3 Coder Flash
qwen/qwen3-coder-flash |
Openrouter | 32.0B | 1.0M | ~19.20 | ~57.60 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 Coder Next
qwen/qwen3-coder-next |
Openrouter | 80.0B | 262K | ~24.00 | ~72.00 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 Coder Plus
qwen/qwen3-coder-plus |
Openrouter | 480.0B | 1.0M | ~240.00 | ~720.00 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 Coder 480B A35B (exacto)
qwen/qwen3-coder:exacto |
Openrouter | 480.0B | 262K | ~144.00 | ~432.00 |
-
|
Estimated |
|
Qwen: Qwen3 Coder 480B A35B (free)
qwen/qwen3-coder:free |
Openrouter | 480.0B | 262K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 Max
qwen/qwen3-max |
Openrouter | 67.0B | 262K | ~40.20 | ~120.60 |
V
T
I
A
J
|
Inferred |
|
Qwen: Qwen3 Max Thinking
qwen/qwen3-max-thinking |
Openrouter | 67.0B | 262K | ~40.20 | ~120.60 |
V
T
I
A
J
|
Inferred |
|
Qwen: Qwen3 Next 80B A3B Instruct
qwen/qwen3-next-80b-a3b-instruct |
Openrouter | 80.0B | 262K | ~40.00 | ~120.00 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 Next 80B A3B Instruct (free)
qwen/qwen3-next-80b-a3b-instruct:free |
Openrouter | 80.0B | 262K | ~40.00 | ~120.00 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 Next 80B A3B Thinking
qwen/qwen3-next-80b-a3b-thinking |
Openrouter | 80.0B | 131K | ~40.00 | ~120.00 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 VL 235B A22B Instruct
qwen/qwen3-vl-235b-a22b-instruct |
Openrouter | 235.0B | 262K | ~141.00 | ~423.00 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 VL 235B A22B Thinking
qwen/qwen3-vl-235b-a22b-thinking |
Openrouter | 235.0B | 131K | ~141.00 | ~423.00 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 VL 30B A3B Instruct
qwen/qwen3-vl-30b-a3b-instruct |
Redpill | 12.0B | 128K | ~7.20 | ~21.60 |
V
T
I
A
J
|
Inferred |
|
Qwen: Qwen3 VL 30B A3B Thinking
qwen/qwen3-vl-30b-a3b-thinking |
Openrouter | 30.0B | 131K | ~18.00 | ~54.00 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 VL 32B Instruct
qwen/qwen3-vl-32b-instruct |
Openrouter | 32.0B | 131K | ~19.20 | ~57.60 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 VL 8B Instruct
qwen/qwen3-vl-8b-instruct |
Openrouter | 8.0B | 131K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3 VL 8B Thinking
qwen/qwen3-vl-8b-thinking |
Openrouter | 8.0B | 131K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3.5-122B-A10B
qwen/qwen3.5-122b-a10b |
Openrouter | 122.0B | 262K | ~73.20 | ~219.60 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3.5-27B
qwen/qwen3.5-27b |
Openrouter | 27.0B | 262K | ~19.44 | ~58.32 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3.5-35B-A3B
qwen/qwen3.5-35b-a3b |
Openrouter | 35.0B | 262K | ~21.00 | ~63.00 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3.5 397B A17B
qwen/qwen3.5-397b-a17b |
Openrouter | 397.0B | 262K | ~238.20 | ~714.60 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3.5-9B
qwen/qwen3.5-9b |
Openrouter | 9.0B | 262K | ~5.40 | ~16.20 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3.5-Flash
qwen/qwen3.5-flash-02-23 |
Openrouter | 3.9B | 1.0M | ~2.34 | ~7.02 |
V
T
I
A
J
|
Inferred |
|
Qwen: Qwen3.5 Plus 2026-02-15
qwen/qwen3.5-plus-02-15 |
Openrouter | 39.0B | 1.0M | ~23.40 | ~70.20 |
V
T
I
A
J
|
Inferred |
|
Qwen: Qwen3.6 27B
qwen/qwen3.6-27b |
Redpill | 56.0B | 262K | ~33.60 | ~100.80 |
V
T
I
A
J
|
Inferred |
|
Qwen: Qwen3.6 35B A3B
qwen/qwen3.6-35b-a3b |
Redpill | 35.0B | 262K | ~21.00 | ~63.00 |
V
T
I
A
J
|
Estimated |
|
Qwen: Qwen3.6 Plus
qwen/qwen3.6-plus |
Openrouter | 45.0B | 1.0M | ~27.00 | ~81.00 |
V
T
I
A
J
|
Inferred |
|
Qwen: Qwen3.8 27B
qwen/qwen3.8-27b |
Redpill | 53.0B | 1.0M | ~31.80 | ~95.40 |
V
T
I
A
J
|
Inferred |
|
Qwen: Qwen3.8 27B (free)
qwen/qwen3.8-27b:free |
Openrouter | 27.0B | 262K | ~16.20 | ~48.60 |
-
|
Estimated |
|
Qwen: QwQ 32B
qwen/qwq-32b |
Openrouter | 32.0B | 131K | ~16.00 | ~48.00 |
V
T
I
A
J
|
Estimated |
| qwen2.5:14b | Ollama | 14.0B | - | ~8.40 | ~25.20 |
-
|
Estimated |
| qwen2.5:32b | Ollama | 32.0B | - | ~19.20 | ~57.60 |
-
|
Estimated |
| qwen2.5:72b | Ollama | 72.0B | - | ~43.20 | ~129.60 |
-
|
Estimated |
| qwen2.5:7b | Ollama | 7.0B | - | ~4.20 | ~12.60 |
-
|
Estimated |
|
SorcererLM 8x22B
raifle/sorcererlm-8x22b |
Openrouter | 176.0B | 16K | ~52.80 | ~158.40 |
-
|
Estimated |
|
Recursive: Flint (free)
recursive/flint-v1.0:free |
Openrouter | 2.5B | 262K | ~2.00 | ~6.00 |
-
|
Estimated |
|
Reflection: Beam 1.0 501B A23B
reflection/beam-1.0-501b-a23b |
Openrouter | 501.0B | 1.0M | ~250.50 | ~751.50 |
-
|
Estimated |
|
Reka Edge
rekaai/reka-edge |
Openrouter | 7.0B | 16K | ~4.20 | ~12.60 |
V
T
I
A
J
|
Estimated |
|
Reka Flash 3
rekaai/reka-flash-3 |
Openrouter | 21.0B | 66K | ~10.50 | ~31.50 |
V
T
I
A
J
|
Estimated |
|
Relace: Relace Apply 3
relace/relace-apply-3 |
Openrouter | 31.0B | 256K | ~18.60 | ~55.80 |
V
T
I
A
J
|
Inferred |
|
Relace: Relace Search
relace/relace-search |
Openrouter | 60.0B | 256K | ~36.00 | ~108.00 |
V
T
I
A
J
|
Inferred |
|
Rerank English V2.0
rerank-english-v2.0 |
Cohere | 50.0B | - | ~25.00 | ~75.00 |
-
|
Inferred |
|
Rerank English V3.0
rerank-english-v3.0 |
Cohere | 70.0B | - | ~35.00 | ~105.00 |
-
|
Inferred |
|
Rerank Multilingual V2.0
rerank-multilingual-v2.0 |
Cohere | 50.0B | - | ~25.00 | ~75.00 |
-
|
Inferred |
| rerank-multilingual-v3.0 | Cohere | 63.0B | 4K | ~31.50 | ~94.50 |
-
|
Inferred |
|
Sao10k: Llama 3 Euryale 70B v2.1
sao10k/l3-euryale-70b |
Openrouter | 70.0B | 8K | ~35.00 | ~105.00 |
V
T
I
A
J
|
Estimated |
|
Sao10K: Llama 3 8B Lunaris
sao10k/l3-lunaris-8b |
Openrouter | 8.0B | 8K | ~4.00 | ~12.00 |
V
T
I
A
J
|
Estimated |
|
Sao10K: Llama 3.1 70B Hanami x1
sao10k/l3.1-70b-hanami-x1 |
Openrouter | 70.0B | 16K | ~35.00 | ~105.00 |
V
T
I
A
J
|
Estimated |
|
Sao10K: Llama 3.1 Euryale 70B v2.2
sao10k/l3.1-euryale-70b |
Openrouter | 70.0B | 131K | ~35.00 | ~105.00 |
V
T
I
A
J
|
Estimated |
|
Sao10K: Llama 3.3 Euryale 70B
sao10k/l3.3-euryale-70b |
Openrouter | 70.0B | 131K | ~35.00 | ~105.00 |
V
T
I
A
J
|
Estimated |
|
All MiniLM L12 V2
sentence-transformers/all-MiniLM-L12-v2 |
Deepinfra | 1.8B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
All MiniLM L6 V2
sentence-transformers/all-MiniLM-L6-v2 |
Deepinfra | 1.8B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
All Mpnet Base V2
sentence-transformers/all-mpnet-base-v2 |
Deepinfra | 1.8B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Clip ViT B 32
sentence-transformers/clip-ViT-B-32 |
Deepinfra | 1.8B | 77 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Clip ViT B 32 Multilingual V1
sentence-transformers/clip-ViT-B-32-multilingual-v1 |
Deepinfra | 1.8B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Multi Qa Mpnet Base Dot V1
sentence-transformers/multi-qa-mpnet-base-dot-v1 |
Deepinfra | 1.8B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Paraphrase MiniLM L6 V2
sentence-transformers/paraphrase-MiniLM-L6-v2 |
Deepinfra | 1.8B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Text2vec Base Chinese
shibing624/text2vec-base-chinese |
Deepinfra | 1.8B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Sonar
sonar |
Perplexity | 22.0B | 128K | ~13.20 | ~39.60 |
V
T
I
A
J
|
Inferred |
|
Sonar Medium Chat
sonar-medium-chat |
Perplexity | 8.0B | 16K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Inferred |
|
Sonar Medium Online
sonar-medium-online |
Perplexity | 8.0B | 12K | ~4.80 | ~14.40 |
V
T
I
A
J
|
Inferred |
|
Sonar Pro
sonar-pro |
Perplexity | 240.0B | 200K | ~144.00 | ~432.00 |
V
T
I
A
J
|
Inferred |
|
Sonar Reasoning
sonar-reasoning |
Perplexity | 70.0B | 128K | ~42.00 | ~126.00 |
V
T
I
A
J
|
Inferred |
|
Sonar Reasoning Pro
sonar-reasoning-pro |
Perplexity | 99.0B | 128K | ~59.40 | ~178.20 |
V
T
I
A
J
|
Inferred |
|
Sonar Small Chat
sonar-small-chat |
Perplexity | 2.0B | 16K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Sonar Small Online
sonar-small-online |
Perplexity | 2.0B | 12K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Sora 2
sora-2 |
Openai | 110.0B | - | ~55.00 | ~165.00 |
-
|
Inferred |
|
Sora 2 Pro
sora-2-pro |
Openai | 330.0B | - | ~165.00 | ~495.00 |
-
|
Inferred |
|
Step 5 Preview
stepfun-ai/Step-5-Preview |
Deepinfra | 56.0B | 1.0M | ~33.60 | ~100.80 |
V
T
I
A
J
|
Inferred |
|
StepFun: Step3
stepfun-ai/step3 |
Openrouter | 321.0B | 66K | ~192.60 | ~577.80 |
-
|
Estimated |
|
StepFun: Step 3.5 Flash
stepfun/step-3.5-flash |
Openrouter | 11.0B | 262K | ~3.30 | ~9.90 |
V
T
I
A
J
|
Estimated |
|
StepFun: Step 3.5 Flash (free)
stepfun/step-3.5-flash:free |
Openrouter | 11.0B | 256K | ~3.30 | ~9.90 |
-
|
Estimated |
|
StepFun: Step 3.7 Flash
stepfun/step-3.7-flash |
Openrouter | 196.0B | 262K | ~117.60 | ~352.80 |
-
|
Estimated |
|
StepFun: Step 5 Preview
stepfun/step-5-preview |
Openrouter | 27.0B | 1.0M | ~16.20 | ~48.60 |
-
|
Estimated |
|
Switchpoint Router
switchpoint/router |
Openrouter | 58.0B | 131K | ~34.80 | ~104.40 |
V
T
I
A
J
|
Inferred |
|
Hy3
tencent/Hy3 |
Deepinfra | 7.5B | 262K | ~4.50 | ~13.50 |
V
T
I
A
J
|
Inferred |
|
Hy4 Preview
tencent/Hy4-preview |
Deepinfra | 49.0B | 1.0M | ~24.50 | ~73.50 |
V
T
I
A
J
|
Estimated |
|
Tencent: Hunyuan A13B Instruct
tencent/hunyuan-a13b-instruct |
Openrouter | 13.0B | 131K | ~3.90 | ~11.70 |
V
T
I
A
J
|
Estimated |
|
Tencent: Hy-MT2-1.8B
tencent/hy-mt2-1.8b |
Openrouter | 1.8B | 8K | ~2.00 | ~6.00 |
-
|
Estimated |
|
Tencent: Hy-MT2-30B-A3B
tencent/hy-mt2-30b-a3b |
Openrouter | 30.0B | 8K | ~15.00 | ~45.00 |
-
|
Estimated |
|
Tencent: Hy-MT2-7B
tencent/hy-mt2-7b |
Openrouter | 7.0B | 8K | ~3.50 | ~10.50 |
-
|
Estimated |
|
Tencent: Hy3
tencent/hy3 |
Redpill | 295.0B | 262K | ~147.50 | ~442.50 |
V
T
I
A
J
|
Estimated |
|
Text Embedding 004
text-embedding-004 |
1.8B | 2K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred | |
| text-embedding-3-large | Openai | 4.7B | 8K | ~2.82 | ~8.46 |
V
T
I
A
J
|
Inferred |
| text-embedding-3-small | Openai | 2.0B | 8K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
| text-embedding-ada-002 | Openai | 3.7B | 8K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
TheDrummer: Anubis 70B V1.1
thedrummer/anubis-70b-v1.1 |
Openrouter | 70.0B | 131K | ~35.00 | ~105.00 |
-
|
Estimated |
|
TheDrummer: Cydonia 24B V4.1
thedrummer/cydonia-24b-v4.1 |
Openrouter | 24.0B | 131K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Estimated |
|
TheDrummer: Rocinante 12B
thedrummer/rocinante-12b |
Openrouter | 12.0B | 33K | ~6.00 | ~18.00 |
V
T
I
A
J
|
Estimated |
|
TheDrummer: Skyfall 36B V2
thedrummer/skyfall-36b-v2 |
Openrouter | 36.0B | 33K | ~18.00 | ~54.00 |
V
T
I
A
J
|
Estimated |
|
TheDrummer: UnslopNemo 12B
thedrummer/unslopnemo-12b |
Openrouter | 12.0B | 33K | ~6.00 | ~18.00 |
V
T
I
A
J
|
Estimated |
|
Gte Base
thenlper/gte-base |
Deepinfra | 1.8B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Gte Large
thenlper/gte-large |
Deepinfra | 1.8B | 512 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Inkling
thinkingmachines/Inkling |
Deepinfra | 41.0B | 524K | ~24.60 | ~73.80 |
V
T
I
A
J
|
Estimated |
|
Inkling Small
thinkingmachines/Inkling-Small |
Deepinfra | 12.0B | 524K | ~7.20 | ~21.60 |
V
T
I
A
J
|
Estimated |
|
Thinking Machines: Inkling Small (free)
thinkingmachines/inkling-small:free |
Openrouter | 12.0B | 1.0M | ~7.20 | ~21.60 |
-
|
Estimated |
|
Thinking Machines: Inkling (free)
thinkingmachines/inkling:free |
Openrouter | 41.0B | 1.0M | ~24.60 | ~73.80 |
-
|
Estimated |
|
THUDM: GLM 4.1V 9B Thinking
thudm/glm-4.1v-9b-thinking |
Openrouter | 9.0B | 66K | ~5.40 | ~16.20 |
-
|
Estimated |
|
TNG: DeepSeek R1T2 Chimera
tngtech/deepseek-r1t2-chimera |
Openrouter | 671.0B | 164K | ~335.50 | ~1,006.50 |
V
T
I
A
J
|
Estimated |
|
TNG: DeepSeek R1T2 Chimera (free)
tngtech/deepseek-r1t2-chimera:free |
Openrouter | 671.0B | 164K | ~335.50 | ~1,006.50 |
-
|
Estimated |
|
Tts 1 1106
tts-1-1106 |
Openai | 2.0B | - | ~2.00 | ~6.00 |
-
|
Inferred |
|
Tts 1 Hd 1106
tts-1-hd-1106 |
Openai | 2.0B | - | ~2.00 | ~6.00 |
-
|
Inferred |
|
ReMM SLERP 13B
undi95/remm-slerp-l2-13b |
Openrouter | 2.0B | 6K | ~2.00 | ~6.00 |
V
T
I
A
J
|
Estimated |
|
Upstage: Solar Mini 4
upstage/solar-mini4 |
Openrouter | 35.0B | 524K | ~17.50 | ~52.50 |
-
|
Estimated |
|
Upstage: Solar Pro 3
upstage/solar-pro-3 |
Openrouter | 102.0B | 128K | ~30.60 | ~91.80 |
V
T
I
A
J
|
Estimated |
|
voxtral-mini-transcribe-2507
voxtral-mini-2507 |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Voxtral Mini Transcribe
voxtral-mini-2602 |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Voxtral Mini Transcribe
voxtral-mini-latest |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Voxtral Mini Transcribe Realtime
voxtral-mini-realtime-2602 |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Voxtral Mini Transcribe Realtime
voxtral-mini-realtime-latest |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
| voxtral-mini-transcribe-2507 | Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Voxtral Mini Transcribe 3.0
voxtral-mini-transcribe-3 |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Voxtral Mini Transcribe 3.0
voxtral-mini-transcribe-3-0 |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Voxtral Mini Transcribe Realtime
voxtral-mini-transcribe-realtime-2602 |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Voxtral Mini Transcribe Realtime 3.0
voxtral-mini-transcribe-realtime-3 |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Voxtral Mini Transcribe Realtime 3.0
voxtral-mini-transcribe-realtime-3-0 |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Voxtral Mini TTS
voxtral-mini-tts-2603 |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Voxtral Mini TTS 3.0
voxtral-mini-tts-3 |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Voxtral Mini TTS 3.0
voxtral-mini-tts-3-0 |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Voxtral Mini TTS
voxtral-mini-tts-latest |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Voxtral Small
voxtral-small |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Voxtral Small Transcribe
voxtral-small-2507 |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Voxtral Small Transcribe
voxtral-small-latest |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Voxtral Small Transcribe 3.0
voxtral-small-transcribe-3 |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Voxtral Small Transcribe 3.0
voxtral-small-transcribe-3-0 |
Mistral | 3.7B | 32K | ~2.22 | ~6.66 |
V
T
I
A
J
|
Inferred |
|
Whisper
whisper-large-v3 |
Groq | 3.6B | 448 | ~2.16 | ~6.48 |
V
T
I
A
J
|
Inferred |
|
Whisper Large V3 Turbo
whisper-large-v3-turbo |
Groq | 1.8B | 448 | ~2.00 | ~6.00 |
V
T
I
A
J
|
Inferred |
|
Writer: Palmyra X5
writer/palmyra-x5 |
Openrouter | 84.0B | 1.0M | ~50.40 | ~151.20 |
V
T
I
A
J
|
Inferred |
|
xAI: Grok 3
x-ai/grok-3 |
Openrouter | 220.0B | 131K | ~79.20 | ~237.60 |
V
T
I
A
J
|
Inferred |
|
xAI: Grok 3 Beta
x-ai/grok-3-beta |
Openrouter | 400.0B | 131K | ~120.00 | ~360.00 |
V
T
I
A
J
|
Estimated |
|
xAI: Grok 3 Mini
x-ai/grok-3-mini |
Openrouter | 100.0B | 131K | ~30.00 | ~90.00 |
V
T
I
A
J
|
Estimated |
|
xAI: Grok 3 Mini Beta
x-ai/grok-3-mini-beta |
Openrouter | 100.0B | 131K | ~30.00 | ~90.00 |
V
T
I
A
J
|
Estimated |
|
xAI: Grok 4
x-ai/grok-4 |
Openrouter | 240.0B | 256K | ~86.40 | ~259.20 |
V
T
I
A
J
|
Inferred |
|
xAI: Grok 4 Fast
x-ai/grok-4-fast |
Openrouter | 400.0B | 2.0M | ~120.00 | ~360.00 |
V
T
I
A
J
|
Estimated |
|
xAI: Grok 4.1 Fast
x-ai/grok-4.1-fast |
Openrouter | 400.0B | 2.0M | ~120.00 | ~360.00 |
V
T
I
A
J
|
Estimated |
|
xAI: Grok 4.20
x-ai/grok-4.20 |
Openrouter | 84.0B | 2.0M | ~30.24 | ~90.72 |
V
T
I
A
J
|
Inferred |
|
xAI: Grok 4.20 Beta
x-ai/grok-4.20-beta |
Openrouter | 4.2B | 2.0M | ~2.52 | ~7.56 |
-
|
Estimated |
|
xAI: Grok 4.20 Multi-Agent
x-ai/grok-4.20-multi-agent |
Openrouter | 84.0B | 2.0M | ~30.24 | ~90.72 |
V
T
I
A
J
|
Inferred |
|
xAI: Grok Code Fast 1
x-ai/grok-code-fast-1 |
Openrouter | 200.0B | 256K | ~60.00 | ~180.00 |
V
T
I
A
J
|
Estimated |
|
Xiaomi: MiMo-V2-Flash
xiaomi/mimo-v2-flash |
Redpill | 4.4B | 262K | ~2.64 | ~7.92 |
V
T
I
A
J
|
Inferred |
|
Xiaomi: MiMo-V2-Flash (free)
xiaomi/mimo-v2-flash:free |
Openrouter | 309.0B | 262K | ~154.50 | ~463.50 |
-
|
Estimated |
|
Xiaomi: MiMo-V2-Omni
xiaomi/mimo-v2-omni |
Openrouter | 46.0B | 262K | ~27.60 | ~82.80 |
V
T
I
A
J
|
Inferred |
|
Xiaomi: MiMo-V2-Pro
xiaomi/mimo-v2-pro |
Openrouter | 60.0B | 1.0M | ~36.00 | ~108.00 |
V
T
I
A
J
|
Inferred |
|
Xiaomi: MiMo-V2.5
xiaomi/mimo-v2.5 |
Redpill | 4.9B | 1.1M | ~2.94 | ~8.82 |
V
T
I
A
J
|
Inferred |
|
Xiaomi: MiMo-V2.5-Pro
xiaomi/mimo-v2.5-pro |
Redpill | 25.0B | 1.1M | ~15.00 | ~45.00 |
V
T
I
A
J
|
Inferred |
|
Xiaomi: MiMo-V2.6-Flash
xiaomi/mimo-v2.6-flash |
Openrouter | 309.0B | 1.0M | ~185.40 | ~556.20 |
-
|
Estimated |
|
Xing4.0-29B-A4B
xingchen-agi/xing4.0-29b-a4b |
Redpill | 20.0B | 262K | ~12.00 | ~36.00 |
V
T
I
A
J
|
Inferred |
|
XingChen: Xing4.0 29B A4B (free)
xingchen-agi/xing4.0-29b-a4b:free |
Openrouter | 29.0B | 262K | ~14.50 | ~43.50 |
-
|
Estimated |
|
Z.ai: GLM 4 32B
z-ai/glm-4-32b |
Openrouter | 32.0B | 128K | ~16.00 | ~48.00 |
V
T
I
A
J
|
Estimated |
|
Z.ai: GLM 4.5
z-ai/glm-4.5 |
Openrouter | 70.0B | 131K | ~42.00 | ~126.00 |
V
T
I
A
J
|
Estimated |
|
Z.ai: GLM 4.5 Air
z-ai/glm-4.5-air |
Openrouter | 32.0B | 131K | ~19.20 | ~57.60 |
V
T
I
A
J
|
Estimated |
|
Z.ai: GLM 4.5 Air (free)
z-ai/glm-4.5-air:free |
Openrouter | 32.0B | 131K | ~19.20 | ~57.60 |
V
T
I
A
J
|
Estimated |
|
Z.ai: GLM 4.5V
z-ai/glm-4.5v |
Openrouter | 106.0B | 66K | ~38.16 | ~114.48 |
V
T
I
A
J
|
Estimated |
|
Z.ai: GLM 4.6
z-ai/glm-4.6 |
Openrouter | 70.0B | 205K | ~42.00 | ~126.00 |
V
T
I
A
J
|
Estimated |
|
Z.ai: GLM 4.6V
z-ai/glm-4.6v |
Openrouter | 19.0B | 131K | ~11.40 | ~34.20 |
V
T
I
A
J
|
Inferred |
|
Z.ai: GLM 4.7
z-ai/glm-4.7 |
Openrouter | 42.0B | 203K | ~25.20 | ~75.60 |
V
T
I
A
J
|
Inferred |
|
Z.ai: GLM 4.7 Flash
z-ai/glm-4.7-flash |
Openrouter | 30.0B | 203K | ~15.00 | ~45.00 |
V
T
I
A
J
|
Estimated |
|
Z.ai: GLM 5
z-ai/glm-5 |
Openrouter | 47.0B | 203K | ~28.20 | ~84.60 |
V
T
I
A
J
|
Inferred |
|
Z.ai: GLM 5 Turbo
z-ai/glm-5-turbo |
Openrouter | 68.0B | 203K | ~40.80 | ~122.40 |
V
T
I
A
J
|
Inferred |
|
Z.ai: GLM 5.1
z-ai/glm-5.1 |
Openrouter | 64.0B | 203K | ~38.40 | ~115.20 |
V
T
I
A
J
|
Inferred |
|
Z.ai: GLM 5.2
z-ai/glm-5.2 |
Redpill | 60.0B | 1.0M | ~36.00 | ~108.00 |
V
T
I
A
J
|
Inferred |
|
Z.ai: GLM 5.3
z-ai/glm-5.3 |
Redpill | 71.0B | 1.0M | ~42.60 | ~127.80 |
V
T
I
A
J
|
Inferred |
|
Z.ai: GLM 5.3 Flash
z-ai/glm-5.3-flash |
Redpill | 7.1B | 1.0M | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
|
Z.ai: GLM 5V Turbo
z-ai/glm-5v-turbo |
Openrouter | 68.0B | 203K | ~40.80 | ~122.40 |
V
T
I
A
J
|
Inferred |
|
Zai Glm 4 7
zai-glm-4.7 |
Cerebras | 52.0B | 128K | ~31.20 | ~93.60 |
V
T
I
A
J
|
Inferred |
|
GLM 4.6
zai-org/GLM-4.6 |
Deepinfra | 46.0B | 203K | ~27.60 | ~82.80 |
V
T
I
A
J
|
Inferred |
|
GLM 4.7
zai-org/GLM-4.7 |
Deepinfra | 42.0B | 203K | ~25.20 | ~75.60 |
V
T
I
A
J
|
Inferred |
|
GLM 5.2
zai-org/GLM-5.2 |
Deepinfra | 51.0B | 1.0M | ~30.60 | ~91.80 |
V
T
I
A
J
|
Inferred |
|
GLM 5.3
zai-org/GLM-5.3 |
Deepinfra | 68.0B | 1.0M | ~40.80 | ~122.40 |
V
T
I
A
J
|
Inferred |
|
GLM 5.3 Flash
zai-org/GLM-5.3-Flash |
Deepinfra | 7.1B | 1.0M | ~4.26 | ~12.78 |
V
T
I
A
J
|
Inferred |
Frequently Asked Questions
How much energy does AI use?
- Small models: 0.1-0.3 Wh per request
- Large models: 1-5 Wh per request
- GPT-4o-mini: optimized for efficiency
- GPT-4/Claude Opus: highest consumption
- FlowDot shows estimates per model
Why does FlowDot track AI energy usage?
- We believe in transparency
- Most platforms hide energy costs
- Helps users make informed choices
- Encourages efficient model selection
- Shows true workflow cost
Can I reduce my AI carbon footprint?
- Choose smaller models for simple tasks
- Use GPT-4o-mini instead of GPT-4 when possible
- Run local AI with Ollama on renewable power
- Batch requests to reduce overhead
- Track consumption with FlowDot estimates
- Write concise prompts for fewer tokens
- Cache repeated queries
- Choose efficient providers
What is the most energy-efficient AI model?
- GPT-4o-mini: OpenAI's efficient option
- Claude 3 Haiku: Anthropic's fast model
- Gemini 1.5 Flash: Google's efficient choice
- Llama 3.1 8B: excellent local option
- Mistral 7B: lightweight and capable
- Phi-3 Mini: Microsoft's small model
How does AI energy compare to other activities?
- GPT-4 query: 1-5 Wh (60W bulb for 1-5 min)
- GPT-3 training: ~1,287 MWh total
- Equivalent to ~120 US homes per year
- Efficiency improves 10-100x per generation
- Modern data centers: PUE of 1.1-1.2
- Cooling adds 10-20% energy overhead
Quick Reference Guide
Low Energy Models (Best for Simple Tasks)
- GPT-4o-mini: fast and efficient
- Claude 3 Haiku: optimized for speed
- Gemini 1.5 Flash: designed for efficiency
- Llama 3.1 8B: great for local use
- Mistral 7B: excellent efficiency ratio
- Phi-3 Mini: Microsoft's efficient option
When to Use Larger Models
- Complex reasoning tasks
- Multi-step analysis
- Creative writing requiring nuance
- Code generation for large projects
- Tasks requiring broad knowledge
- High-stakes decisions needing accuracy
Call for Transparency
We encourage all AI providers to publicly disclose energy consumption data. Transparency is essential for building a sustainable AI future.
Share Energy DataAre you an AI provider with official energy data? We'd love to hear from you.