Environmental Impact of AI

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

Official

Provider Published Data - Data published directly by the AI provider in official documentation or sustainability reports. Most reliable but very rare.

Research

Academic Research - Data from peer-reviewed academic research and third-party studies.

Estimated

Estimated from Parameters - When we know a model's parameter count, we estimate energy using research-derived formulas.

Inferred

Inferred from Pricing - For models where providers don't disclose parameters, we infer approximate size from pricing. Least reliable.

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.

750 models

Model ▴▾	Provider ▴▾	Params (B) ▴▾	Context ▴▾	Input Wh/1M ▴▾	Output Wh/1M ▴▾	Capabilities	Source ▴▾
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-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-Coder-Next Qwen/Qwen3-Coder-Next	Together	80.0B	131K	~24.00	~72.00	V T I A J	Estimated
Qwen3-Next-80B-A3B-Instruct Qwen/Qwen3-Next-80B-A3B-Instruct	Together	35.0B	131K	~21.00	~63.00	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
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
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
Gpt Oss 120b accounts/fireworks/models/gpt-oss-120b	Fireworks	6.5B	131K	~3.90	~11.70	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
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
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
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
AionLabs: Aion-1.0-Mini aion-labs/aion-1.0-mini	Openrouter	32.0B	131K	~16.00	~48.00	-	Estimated
AionLabs: Aion-RP 1.0 (8B) aion-labs/aion-rp-llama-3.1-8b	Openrouter	8.0B	33K	~4.00	~12.00	-	Estimated
AlfredPros: CodeLLaMa 7B Instruct Solidity alfredpros/codellama-7b-instruct-solidity	Openrouter	7.0B	4K	~3.50	~10.50	-	Estimated
Tongyi DeepResearch 30B A3B alibaba/tongyi-deepresearch-30b-a3b	Openrouter	30.0B	131K	~15.00	~45.00	-	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	-	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	-	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	-	Estimated
Amazon: Nova Lite 1.0 amazon/nova-lite-v1	Openrouter	20.0B	300K	~14.40	~43.20	-	Estimated
Magnum v4 72B anthracite-org/magnum-v4-72b	Openrouter	72.0B	16K	~36.00	~108.00	-	Estimated
Anthropic: Claude 3 Haiku anthropic/claude-3-haiku	Openrouter	20.0B	200K	~14.40	~43.20	-	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	Redpill	240.0B	200K	~144.00	~432.00	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
Anthropic: Claude Opus 4.1 anthropic/claude-opus-4.1	Redpill	800.0B	200K	~480.00	~1,440.00	V T I A J	Inferred
Anthropic: Claude Opus 4.5 anthropic/claude-opus-4.5	Redpill	400.0B	200K	~240.00	~720.00	V T I A J	Inferred
Anthropic: Claude Opus 4.6 anthropic/claude-opus-4.6	Redpill	540.0B	1.0M	~324.00	~972.00	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
Anthropic: Claude Sonnet 4.5 anthropic/claude-sonnet-4.5	Redpill	240.0B	1.0M	~144.00	~432.00	V T I A J	Inferred
Anthropic: Claude Sonnet 4.6 anthropic/claude-sonnet-4.6	Redpill	240.0B	1.0M	~144.00	~432.00	V T I A J	Inferred
Arcee AI: Trinity Large Preview (free) arcee-ai/trinity-large-preview:free	Openrouter	400.0B	131K	~200.00	~600.00	-	Estimated
Arcee AI: Trinity Mini arcee-ai/trinity-mini	Openrouter	26.0B	131K	~13.00	~39.00	-	Estimated
Arcee AI: Trinity Mini (free) arcee-ai/trinity-mini:free	Openrouter	26.0B	131K	~13.00	~39.00	-	Estimated
ArliAI: QwQ 32B RpR v1 arliai/qwq-32b-arliai-rpr-v1	Openrouter	32.0B	33K	~16.00	~48.00	-	Estimated
Baidu: ERNIE 4.5 21B A3B baidu/ernie-4.5-21b-a3b	Openrouter	21.0B	120K	~6.30	~18.90	-	Estimated
Baidu: ERNIE 4.5 21B A3B Thinking baidu/ernie-4.5-21b-a3b-thinking	Openrouter	21.0B	131K	~6.30	~18.90	-	Estimated
Baidu: ERNIE 4.5 300B A47B baidu/ernie-4.5-300b-a47b	Openrouter	300.0B	123K	~90.00	~270.00	-	Estimated
Baidu: ERNIE 4.5 VL 28B A3B baidu/ernie-4.5-vl-28b-a3b	Openrouter	28.0B	30K	~10.08	~30.24	-	Estimated
Baidu: ERNIE 4.5 VL 424B A47B baidu/ernie-4.5-vl-424b-a47b	Openrouter	424.0B	123K	~152.64	~457.92	-	Estimated
ByteDance Seed: Seed 1.6 bytedance-seed/seed-1.6	Openrouter	1.6B	262K	~2.00	~6.00	-	Estimated
ByteDance: UI-TARS 7B bytedance/ui-tars-1.5-7b	Openrouter	72.0B	128K	~43.20	~129.60	-	Estimated
Canopylabs/orpheus Arabic Saudi canopylabs/orpheus-arabic-saudi	Groq	7.2B	4K	~4.32	~12.96	V T I A J	Inferred
Canopylabs/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 (free) cognitivecomputations/dolphin-mistral-24b-venice-edition:free	Openrouter	24.0B	33K	~12.00	~36.00	-	Estimated
Cohere: Command A cohere/command-a	Openrouter	111.0B	256K	~55.50	~166.50	-	Estimated
Cohere: Command R7B (12-2024) cohere/command-r7b-12-2024	Openrouter	7.0B	128K	~3.50	~10.50	-	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 command-a-03-2025	Cohere	76.0B	256K	~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-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	132K	~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 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
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	-	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	Together	80.0B	66K	~28.80	~86.40	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	Together	671.0B	66K	~201.30	~603.90	V T I A J	Estimated
DeepSeek-V3.1 deepseek-ai/DeepSeek-V3.1	Together	34.0B	66K	~12.24	~36.72	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	-	Estimated
DeepSeek: DeepSeek V3 0324 deepseek/deepseek-chat-v3-0324	Openrouter	685.0B	164K	~342.50	~1,027.50	-	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	164K	~201.30	~603.90	-	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	-	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	64K	~19.20	~57.60	-	Estimated
DeepSeek: DeepSeek V3.1 Terminus deepseek/deepseek-v3.1-terminus	Openrouter	671.0B	164K	~335.50	~1,006.50	-	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	Redpill	5.3B	164K	~2.00	~6.00	V T I A J	Inferred
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
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 embed-multilingual-light-v3.0	Cohere	3.3B	512	~2.00	~6.00	V T I A J	Inferred
Embed Multilingual V3.0 embed-multilingual-v3.0	Cohere	3.3B	512	~2.00	~6.00	V T I A J	Inferred
Embedding 001 embedding-001	Google	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	-	Estimated
Gemini 1.0 Pro gemini-1.0-pro	Google	32.0B	32K	~11.52	~34.56	V T I A J	Inferred
Gemini 1.5 Flash gemini-1.5-flash	Google	4.4B	1.0M	~2.00	~6.00	V T I A J	Inferred
Gemini 1.5 Flash 8b gemini-1.5-flash-8b	Google	2.4B	1.0M	~2.00	~6.00	V T I A J	Inferred
Gemini 1.5 Flash Latest gemini-1.5-flash-latest	Google	4.4B	1.0M	~2.00	~6.00	V T I A J	Inferred
Gemini 1.5 Pro gemini-1.5-pro	Google	76.0B	2.0M	~27.36	~82.08	V T I A J	Inferred
Gemini 1.5 Pro Latest gemini-1.5-pro-latest	Google	76.0B	2.0M	~27.36	~82.08	V T I A J	Inferred
Gemini 2.0 Flash gemini-2.0-flash	Google	8.0B	1.0M	~4.80	~14.40	V T I A J	Estimated
Gemini 2.0 Flash 001 gemini-2.0-flash-001	Google	8.0B	1.0M	~4.80	~14.40	V T I A J	Estimated
Gemini 2.0 Flash Exp gemini-2.0-flash-exp	Google	50.0B	1.0M	~18.00	~54.00	V T I A J	Estimated
Gemini 2.0 Flash-Lite gemini-2.0-flash-lite	Google	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	Google	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	Google	50.0B	-	~18.00	~54.00	-	Estimated
Gemini 2.5 Flash gemini-2.5-flash	Google	8.0B	1.0M	~4.80	~14.40	V T I A J	Estimated
Nano Banana gemini-2.5-flash-image	Google	50.0B	33K	~18.00	~54.00	V T I A J	Inferred
Gemini 2.5 Flash-Lite gemini-2.5-flash-lite	Google	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	Google	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	Google	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	Google	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	Google	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	Google	50.0B	8K	~18.00	~54.00	V T I A J	Inferred
Gemini 2.5 Pro gemini-2.5-pro	Google	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	Google	110.0B	8K	~39.60	~118.80	V T I A J	Inferred
Gemini 3 Flash Preview gemini-3-flash-preview	Google	170.0B	1.0M	~61.20	~183.60	V T I A J	Inferred
Nano Banana Pro gemini-3-pro-image-preview	Google	150.0B	131K	~54.00	~162.00	V T I A J	Inferred
Gemini 3 Pro Preview gemini-3-pro-preview	Google	170.0B	1.0M	~61.20	~183.60	V T I A J	Inferred
Gemini Pro gemini-pro	Google	32.0B	32K	~11.52	~34.56	V T I A J	Inferred
Gemini Pro Vision gemini-pro-vision	Google	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
Google: Gemini 2.0 Flash Experimental (free) google/gemini-2.0-flash-exp:free	Openrouter	50.0B	1.0M	~12.00	~36.00	-	Research
Gemini 2.5 Flash google/gemini-2.5-flash	Perplexity	50.0B	-	~18.00	~54.00	-	Estimated
Google: Gemini 2.5 Flash Lite google/gemini-2.5-flash-lite	Redpill	20.0B	1.0M	~7.20	~21.60	V T I A J	Estimated
Google: Gemini 2.5 Pro google/gemini-2.5-pro	Redpill	240.0B	1.0M	~86.40	~259.20	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: Gemma 2 27B google/gemma-2-27b-it	Openrouter	27.0B	8K	~16.20	~48.60	-	Estimated
Google: Gemma 2 9B google/gemma-2-9b-it	Openrouter	9.0B	8K	~5.40	~16.20	-	Estimated
Google: Gemma 3 12B google/gemma-3-12b-it	Openrouter	12.0B	131K	~7.20	~21.60	-	Estimated
Google: Gemma 3 12B (free) google/gemma-3-12b-it:free	Openrouter	12.0B	33K	~7.20	~21.60	-	Estimated
Google: Gemma 3 27B google/gemma-3-27b-it	Redpill	4.8B	54K	~2.88	~8.64	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	-	Estimated
Google: Gemma 3 4B google/gemma-3-4b-it	Openrouter	4.0B	96K	~2.40	~7.20	-	Estimated
Google: Gemma 3 4B (free) google/gemma-3-4b-it:free	Openrouter	4.0B	33K	~2.40	~7.20	-	Estimated
Google: Gemma 3n 2B (free) google/gemma-3n-e2b-it:free	Openrouter	2.0B	8K	~2.00	~6.00	-	Estimated
Google: Gemma 3n 4B google/gemma-3n-e4b-it	Openrouter	4.0B	33K	~2.00	~6.00	-	Estimated
Google: Gemma 3n 4B (free) google/gemma-3n-e4b-it:free	Openrouter	4.0B	8K	~2.00	~6.00	-	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-audio	Openai	200.0B	-	~144.00	~432.00	-	Estimated
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-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-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	131K	~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	-	Estimated
IBM: Granite 4.0 Micro ibm-granite/granite-4.0-h-micro	Openrouter	3.0B	131K	~2.00	~6.00	-	Estimated
Inception: Mercury 2 inception/mercury-2	Openrouter	0.0B	128K	~2.00	~6.00	-	Estimated
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
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
LiquidAI: LFM2-24B-A2B liquid/lfm-2-24b-a2b	Openrouter	24.0B	33K	~12.00	~36.00	-	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	-	Estimated
LiquidAI: LFM2.5-1.2B-Thinking (free) liquid/lfm-2.5-1.2b-thinking:free	Openrouter	1.2B	33K	~2.00	~6.00	-	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	131K	~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
magistral-medium-2509 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
magistral-small-2509 magistral-small-latest	Mistral	32.0B	40K	~19.20	~57.60	V T I A J	Inferred
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-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	Together	70.0B	131K	~42.00	~126.00	V T I A J	Estimated
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	Together	70.0B	131K	~42.00	~126.00	V T I A J	Estimated
Meta-Llama-3.1-8B-Instruct-Turbo meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo	Together	8.0B	131K	~4.80	~14.40	V T I A J	Estimated
Meta: Llama 3 70B Instruct meta-llama/llama-3-70b-instruct	Openrouter	70.0B	8K	~28.00	~84.00	-	Research
Meta: Llama 3 8B Instruct meta-llama/llama-3-8b-instruct	Openrouter	8.0B	8K	~3.20	~9.60	-	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	-	Research
Meta: Llama 3.1 8B Instruct meta-llama/llama-3.1-8b-instruct	Openrouter	8.0B	131K	~3.20	~9.60	-	Research
Meta: Llama 3.2 11B Vision Instruct meta-llama/llama-3.2-11b-vision-instruct	Openrouter	11.0B	131K	~7.92	~23.76	-	Estimated
Meta: Llama 3.2 1B Instruct meta-llama/llama-3.2-1b-instruct	Openrouter	1.0B	60K	~2.00	~6.00	-	Estimated
Meta: Llama 3.2 3B Instruct meta-llama/llama-3.2-3b-instruct	Openrouter	3.0B	131K	~2.00	~6.00	-	Estimated
Meta: Llama 3.2 3B Instruct (free) meta-llama/llama-3.2-3b-instruct:free	Openrouter	3.0B	131K	~2.00	~6.00	-	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	131K	~35.00	~105.00	-	Estimated
Meta: Llama 4 Maverick meta-llama/llama-4-maverick	Openrouter	17.0B	1.0M	~6.12	~18.36	-	Estimated
Meta: Llama 4 Scout meta-llama/llama-4-scout	Openrouter	17.0B	328K	~6.12	~18.36	-	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	-	Estimated
Meta: Llama Guard 4 12B meta-llama/llama-guard-4-12b	Openrouter	12.0B	164K	~7.20	~21.60	-	Estimated
Meta Llama/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
Meta Llama/llama 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
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
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
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
Microsoft: Phi 4 microsoft/phi-4	Openrouter	14.0B	16K	~7.00	~21.00	-	Estimated
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	-	Estimated
MiniMax: MiniMax-01 minimax/minimax-01	Openrouter	456.0B	1.0M	~164.16	~492.48	-	Estimated
MiniMax: MiniMax M1 minimax/minimax-m1	Openrouter	456.0B	1.0M	~136.80	~410.40	-	Estimated
MiniMax: MiniMax M2 minimax/minimax-m2	Openrouter	10.0B	262K	~5.00	~15.00	-	Estimated
MiniMax: MiniMax M2.1 minimax/minimax-m2.1	Openrouter	10.0B	205K	~5.00	~15.00	-	Estimated
MiniMax: MiniMax M2.5 minimax/minimax-m2.5	Openrouter	2.5B	197K	~2.00	~6.00	-	Estimated
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-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-2508 mistral-medium	Mistral	42.0B	128K	~25.20	~75.60	V T I A J	Inferred
Mistral Medium 3 mistral-medium-3	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-2508 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-2506 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: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-Small-3 mistralai/Mistral-Small-3	Together	3.7B	33K	~2.22	~6.66	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	-	Estimated
Mistral: Devstral 2 2512 mistralai/devstral-2512	Openrouter	123.0B	262K	~73.80	~221.40	-	Estimated
Mistral: Devstral 2 2512 (free) mistralai/devstral-2512:free	Openrouter	123.0B	262K	~73.80	~221.40	-	Estimated
Mistral: Devstral Small 1.1 mistralai/devstral-small	Openrouter	24.0B	128K	~12.00	~36.00	-	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	-	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	-	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	-	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	-	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 2407 mistralai/mistral-large-2407	Openrouter	2.4B	131K	~2.00	~6.00	-	Estimated
Mistral Large 2411 mistralai/mistral-large-2411	Openrouter	123.0B	131K	~49.20	~147.60	-	Research
Mistral: Mistral Large 3 2512 mistralai/mistral-large-2512	Openrouter	41.0B	262K	~24.60	~73.80	-	Estimated
Mistral: Mistral Nemo mistralai/mistral-nemo	Openrouter	12.0B	131K	~7.20	~21.60	-	Estimated
Mistral: Saba mistralai/mistral-saba	Openrouter	24.0B	33K	~12.00	~36.00	-	Estimated
Mistral: Mistral Small 3 mistralai/mistral-small-24b-instruct-2501	Openrouter	24.0B	33K	~12.00	~36.00	-	Estimated
Mistral: Mistral Small 3.1 24B mistralai/mistral-small-3.1-24b-instruct	Openrouter	24.0B	131K	~14.40	~43.20	-	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	131K	~14.40	~43.20	-	Estimated
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	-	Estimated
Mistral: Mixtral 8x7B Instruct mistralai/mixtral-8x7b-instruct	Openrouter	47.0B	33K	~14.10	~42.30	-	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	-	Estimated
Mistral: Voxtral Small 24B 2507 mistralai/voxtral-small-24b-2507	Openrouter	24.0B	32K	~14.40	~43.20	-	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
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
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	-	Estimated
MoonshotAI: Kimi K2 0905 moonshotai/kimi-k2-0905	Openrouter	32.0B	262K	~9.60	~28.80	-	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	Redpill	60.0B	262K	~36.00	~108.00	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 Linear 48B A3B Instruct moonshotai/kimi-linear-48b-a3b-instruct	Openrouter	48.0B	1.0M	~24.00	~72.00	-	Estimated
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
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	-	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	-	Estimated
Nous: Hermes 3 70B Instruct nousresearch/hermes-3-llama-3.1-70b	Openrouter	7.0B	66K	~3.50	~10.50	-	Estimated
Nous: Hermes 4 405B nousresearch/hermes-4-405b	Openrouter	405.0B	131K	~202.50	~607.50	-	Estimated
Nous: Hermes 4 70B nousresearch/hermes-4-70b	Openrouter	70.0B	131K	~35.00	~105.00	-	Estimated
NVIDIA: Llama 3.1 Nemotron 70B Instruct nvidia/llama-3.1-nemotron-70b-instruct	Openrouter	70.0B	131K	~42.00	~126.00	-	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	-	Estimated
NVIDIA: Nemotron 3 Nano 30B A3B nvidia/nemotron-3-nano-30b-a3b	Openrouter	30.0B	262K	~9.00	~27.00	-	Estimated
NVIDIA: Nemotron 3 Nano 30B A3B (free) nvidia/nemotron-3-nano-30b-a3b:free	Openrouter	30.0B	256K	~9.00	~27.00	-	Estimated
NVIDIA: Nemotron 3 Super (free) nvidia/nemotron-3-super-120b-a12b:free	Openrouter	120.0B	262K	~36.00	~108.00	-	Estimated
NVIDIA: Nemotron Nano 12B 2 VL nvidia/nemotron-nano-12b-v2-vl	Openrouter	12.0B	131K	~7.20	~21.60	-	Estimated
NVIDIA: Nemotron Nano 12B 2 VL (free) nvidia/nemotron-nano-12b-v2-vl:free	Openrouter	12.0B	128K	~7.20	~21.60	-	Estimated
NVIDIA: Nemotron Nano 9B V2 nvidia/nemotron-nano-9b-v2	Openrouter	9.0B	131K	~4.50	~13.50	-	Estimated
NVIDIA: Nemotron Nano 9B V2 (free) nvidia/nemotron-nano-9b-v2:free	Openrouter	9.0B	128K	~4.50	~13.50	-	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
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-4 openai/gpt-4	Redpill	200.0B	8K	~120.00	~360.00	V T I A J	Estimated
OpenAI: GPT-4 Turbo openai/gpt-4-turbo	Openrouter	200.0B	128K	~144.00	~432.00	-	Estimated
OpenAI: GPT-4 Turbo Preview openai/gpt-4-turbo-preview	Openrouter	200.0B	128K	~144.00	~432.00	-	Estimated
OpenAI: GPT-4.1 openai/gpt-4.1	Redpill	110.0B	1.0M	~66.00	~198.00	V T I A J	Inferred
OpenAI: GPT-4.1 Mini openai/gpt-4.1-mini	Redpill	8.0B	1.0M	~5.76	~17.28	V T I A J	Estimated
OpenAI: GPT-4.1 Nano openai/gpt-4.1-nano	Redpill	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	-	Estimated
OpenAI: GPT-4o (2024-08-06) openai/gpt-4o-2024-08-06	Openrouter	200.0B	128K	~144.00	~432.00	-	Estimated
OpenAI: GPT-4o (2024-11-20) openai/gpt-4o-2024-11-20	Openrouter	200.0B	128K	~144.00	~432.00	-	Estimated
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	-	Estimated
OpenAI: GPT-5 openai/gpt-5	Redpill	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	-	Estimated
OpenAI: GPT-5 Image Mini openai/gpt-5-image-mini	Openrouter	0.0B	400K	~2.00	~6.00	-	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 Nano openai/gpt-5-nano	Redpill	10.0B	400K	~7.20	~21.60	V T I A J	Estimated
OpenAI: GPT-5.1 openai/gpt-5.1	Redpill	140.0B	400K	~84.00	~252.00	V T I A J	Inferred
OpenAI: GPT-5.2 openai/gpt-5.2	Redpill	200.0B	400K	~120.00	~360.00	V T I A J	Inferred
OpenAI: GPT OSS 120B openai/gpt-oss-120b	Redpill	6.4B	131K	~3.84	~11.52	V T I A J	Inferred
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	-	Estimated
OpenAI: GPT OSS 20B openai/gpt-oss-20b	Redpill	2.2B	131K	~2.00	~6.00	V T I A J	Inferred
OpenAI: gpt-oss-20b (free) openai/gpt-oss-20b:free	Openrouter	20.0B	131K	~6.00	~18.00	-	Estimated
Openai/gpt Oss Safeguard 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	-	Estimated
OpenAI: o3 openai/o3	Redpill	110.0B	200K	~66.00	~198.00	V T I A J	Inferred
OpenAI: o3 Mini openai/o3-mini	Openrouter	50.0B	200K	~30.00	~90.00	-	Estimated
OpenAI: o4 Mini openai/o4-mini	Redpill	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	-	Estimated
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
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
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
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 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
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
Prime Intellect: INTELLECT-3 prime-intellect/intellect-3	Openrouter	106.0B	131K	~31.80	~95.40	-	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 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	-	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	-	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: 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	33K	~43.20	~129.60	-	Estimated
Qwen: Qwen3 14B qwen/qwen3-14b	Openrouter	14.0B	41K	~7.00	~21.00	-	Estimated
Qwen: Qwen3 235B A22B qwen/qwen3-235b-a22b	Openrouter	235.0B	41K	~70.50	~211.50	-	Estimated
Qwen: Qwen3 235B A22B Instruct 2507 qwen/qwen3-235b-a22b-2507	Openrouter	235.0B	262K	~117.50	~352.50	-	Estimated
Qwen: Qwen3 235B A22B Thinking 2507 qwen/qwen3-235b-a22b-thinking-2507	Openrouter	235.0B	262K	~70.50	~211.50	-	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	-	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	33K	~15.00	~45.00	-	Estimated
Qwen/qwen3 32b qwen/qwen3-32b	Groq	7.6B	131K	~4.56	~13.68	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	128K	~4.00	~12.00	-	Estimated
Qwen: Qwen3 Coder 480B A35B qwen/qwen3-coder	Openrouter	480.0B	262K	~144.00	~432.00	-	Estimated
Qwen: Qwen3 Coder 30B A3B Instruct qwen/qwen3-coder-30b-a3b-instruct	Openrouter	30.0B	262K	~9.00	~27.00	-	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 Plus qwen/qwen3-coder-plus	Openrouter	480.0B	128K	~240.00	~720.00	-	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	-	Estimated
Qwen: Qwen3 Next 80B A3B Instruct qwen/qwen3-next-80b-a3b-instruct	Openrouter	80.0B	262K	~40.00	~120.00	-	Estimated
Qwen: Qwen3 Next 80B A3B Instruct (free) qwen/qwen3-next-80b-a3b-instruct:free	Openrouter	80.0B	262K	~40.00	~120.00	-	Estimated
Qwen: Qwen3 Next 80B A3B Thinking qwen/qwen3-next-80b-a3b-thinking	Openrouter	80.0B	131K	~40.00	~120.00	-	Estimated
Qwen: Qwen3 VL 235B A22B Instruct qwen/qwen3-vl-235b-a22b-instruct	Openrouter	235.0B	262K	~141.00	~423.00	-	Estimated
Qwen: Qwen3 VL 235B A22B Thinking qwen/qwen3-vl-235b-a22b-thinking	Openrouter	235.0B	262K	~141.00	~423.00	-	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	-	Estimated
Qwen: Qwen3 VL 32B Instruct qwen/qwen3-vl-32b-instruct	Openrouter	32.0B	262K	~19.20	~57.60	-	Estimated
Qwen: Qwen3 VL 8B Instruct qwen/qwen3-vl-8b-instruct	Openrouter	8.0B	131K	~4.80	~14.40	-	Estimated
Qwen: Qwen3 VL 8B Thinking qwen/qwen3-vl-8b-thinking	Openrouter	8.0B	256K	~4.80	~14.40	-	Estimated
Qwen: Qwen3.5-122B-A10B qwen/qwen3.5-122b-a10b	Openrouter	122.0B	262K	~73.20	~219.60	-	Estimated
Qwen: Qwen3.5-27B qwen/qwen3.5-27b	Redpill	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	-	Estimated
Qwen: Qwen3.5 397B A17B qwen/qwen3.5-397b-a17b	Redpill	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	-	Estimated
Qwen: QwQ 32B qwen/qwq-32b	Openrouter	32.0B	33K	~16.00	~48.00	-	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
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	-	Estimated
Sao10K: Llama 3 8B Lunaris sao10k/l3-lunaris-8b	Openrouter	8.0B	8K	~4.00	~12.00	-	Estimated
Sao10K: Llama 3.1 70B Hanami x1 sao10k/l3.1-70b-hanami-x1	Openrouter	70.0B	16K	~35.00	~105.00	-	Estimated
Sao10K: Llama 3.1 Euryale 70B v2.2 sao10k/l3.1-euryale-70b	Openrouter	70.0B	33K	~35.00	~105.00	-	Estimated
Sao10K: Llama 3.3 Euryale 70B sao10k/l3.3-euryale-70b	Openrouter	70.0B	131K	~35.00	~105.00	-	Estimated
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
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	256K	~3.30	~9.90	-	Estimated
StepFun: Step 3.5 Flash (free) stepfun/step-3.5-flash:free	Openrouter	11.0B	256K	~3.30	~9.90	-	Estimated
Tencent: Hunyuan A13B Instruct tencent/hunyuan-a13b-instruct	Openrouter	13.0B	131K	~3.90	~11.70	-	Estimated
Text Embedding 004 text-embedding-004	Google	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	-	Estimated
TheDrummer: Rocinante 12B thedrummer/rocinante-12b	Openrouter	12.0B	33K	~6.00	~18.00	-	Estimated
TheDrummer: Skyfall 36B V2 thedrummer/skyfall-36b-v2	Openrouter	36.0B	33K	~18.00	~54.00	-	Estimated
TheDrummer: UnslopNemo 12B thedrummer/unslopnemo-12b	Openrouter	12.0B	33K	~6.00	~18.00	-	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	-	Estimated
TNG: DeepSeek R1T2 Chimera (free) tngtech/deepseek-r1t2-chimera:free	Openrouter	671.0B	164K	~335.50	~1,006.50	-	Estimated
ReMM SLERP 13B undi95/remm-slerp-l2-13b	Openrouter	2.0B	6K	~2.00	~6.00	-	Estimated
Upstage: Solar Pro 3 upstage/solar-pro-3	Openrouter	102.0B	128K	~30.60	~91.80	-	Estimated
voxtral-mini-transcribe-2507 voxtral-mini-2507	Mistral	3.7B	32K	~2.22	~6.66	V T I A J	Inferred
voxtral-mini-2602	Mistral	3.7B	32K	~2.22	~6.66	V T I A J	Inferred
voxtral-mini-2602 voxtral-mini-latest	Mistral	3.7B	32K	~2.22	~6.66	V T I A J	Inferred
voxtral-mini-transcribe-realtime-2602 voxtral-mini-realtime-2602	Mistral	3.7B	32K	~2.22	~6.66	V T I A J	Inferred
voxtral-mini-transcribe-realtime-2602 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-realtime-2602	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-2507	Mistral	3.7B	32K	~2.22	~6.66	V T I A J	Inferred
voxtral-small-2507 voxtral-small-latest	Mistral	3.7B	32K	~2.22	~6.66	V T I A J	Inferred
Whisper Large V3 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
xAI: Grok 3 Beta x-ai/grok-3-beta	Openrouter	400.0B	131K	~120.00	~360.00	-	Estimated
xAI: Grok 3 Mini Beta x-ai/grok-3-mini-beta	Openrouter	100.0B	131K	~30.00	~90.00	-	Estimated
xAI: Grok 4 x-ai/grok-4	Redpill	240.0B	256K	~86.40	~259.20	V T I A J	Inferred
xAI: Grok 4.1 Fast x-ai/grok-4.1-fast	Redpill	400.0B	2.0M	~120.00	~360.00	V T I A J	Estimated
xAI: Grok 4.20 Beta x-ai/grok-4.20-beta	Openrouter	4.2B	2.0M	~2.52	~7.56	-	Estimated
xAI: Grok Code Fast 1 x-ai/grok-code-fast-1	Redpill	200.0B	256K	~60.00	~180.00	V T I A J	Estimated
Xiaomi: MiMo-V2-Flash xiaomi/mimo-v2-flash	Openrouter	309.0B	262K	~154.50	~463.50	-	Estimated
Xiaomi: MiMo-V2-Flash (free) xiaomi/mimo-v2-flash:free	Openrouter	309.0B	262K	~154.50	~463.50	-	Estimated
Z.AI: GLM 4 32B z-ai/glm-4-32b	Openrouter	32.0B	128K	~16.00	~48.00	-	Estimated
Z.AI: GLM 4.5V z-ai/glm-4.5v	Openrouter	106.0B	66K	~38.16	~114.48	-	Estimated
Z.AI: GLM 4.7 z-ai/glm-4.7	Redpill	57.0B	131K	~34.20	~102.60	V T I A J	Inferred
Z.AI: GLM 4.7 Flash z-ai/glm-4.7-flash	Redpill	30.0B	203K	~15.00	~45.00	V T I A J	Estimated
Z.AI: GLM 5 z-ai/glm-5	Redpill	0.0B	203K	~2.00	~6.00	V T I A J	Estimated

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 Data

Are you an AI provider with official energy data? We'd love to hear from you.

Published by FlowDot Research Team

Contact: support@flowdot.ai

Questions? Visit our FAQs page

TL;DR - What You Need to Know