Results
LLM Benchmark
{
"prompt": {
"user": "How many 'r's in the work Strawberry?",
"system": "You are a helpful assistant"
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"tokens": {
"total": 38,
"prompt": 15,
"response": 23
},
"provider": "OpenRouter",
"response": "The word **\u201cstrawberry\u201d** contains **3** letter **\u201cr\u201d**s. \ud83c\udf53",
"settings": {
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"topP": 0.9,
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"providerId": "openrouter"
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"endTime": "2025-12-17T14:29:41.799Z",
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"duration_ms": 3881
},
"tokens": {
"total": 37,
"prompt": 15,
"response": 22
},
"provider": "OpenRouter",
"response": "There are **3** letter **\u201cr\u201d**s in the word **\u201cStrawberry.\u201d**",
"settings": {
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"topP": 0.9,
"maxTokens": 98.1,
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"providerId": "openrouter"
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{
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"model": "openai/o4-mini-high",
"status": "success",
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"duration_ms": 6426
},
"tokens": {
"total": 29,
"prompt": 15,
"response": 14
},
"provider": "OpenRouter",
"response": "The word \u201cStrawberry\u201d contains three \u201cr\u201ds.",
"settings": {
"topK": 40,
"topP": 0.9,
"maxTokens": 98.1,
"temperature": 0.7
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"providerId": "openrouter"
},
{
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"model": "anthropic/claude-3.7-sonnet",
"status": "success",
"timing": {
"endTime": "2025-12-17T14:29:45.506Z",
"startTime": "2025-12-17T14:29:44.344Z",
"duration_ms": 1162
},
"tokens": {
"total": 30,
"prompt": 15,
"response": 15
},
"provider": "OpenRouter",
"response": "There are 3 'r's in the word \"Strawberry\".",
"settings": {
"topK": 40,
"topP": 0.9,
"maxTokens": 98.1,
"temperature": 0.7
},
"providerId": "openrouter"
},
{
"error": null,
"model": "anthropic/claude-sonnet-4.5",
"status": "success",
"timing": {
"endTime": "2025-12-17T14:29:46.861Z",
"startTime": "2025-12-17T14:29:44.344Z",
"duration_ms": 2517
},
"tokens": {
"total": 163,
"prompt": 15,
"response": 148
},
"provider": "OpenRouter",
"response": "To count the number of 'r's in the word \"Strawberry\", I'll examine each letter:\n\nS-t-r-a-w-b-e-r-r-y\n\nLooking at each letter:\n- S: not an 'r'\n- t: not an 'r'\n- r: this is an 'r' (1st)\n- a: not an 'r'\n- w: not an 'r'\n- b: not an 'r'\n- e: not an 'r'\n- r: this is an 'r' (2nd)\n- r: this is an 'r' (3rd)\n- y: not an 'r'\n\nThere are **3 'r's** in the word \"Strawberry\".",
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"temperature": 0.7
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"providerId": "openrouter"
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{
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"model": "anthropic/claude-opus-4.5",
"status": "success",
"timing": {
"endTime": "2025-12-17T14:29:47.488Z",
"startTime": "2025-12-17T14:29:44.344Z",
"duration_ms": 3144
},
"tokens": {
"total": 61,
"prompt": 15,
"response": 46
},
"provider": "OpenRouter",
"response": "There are **3 r's** in the word \"Strawberry\":\n\n1. St**r**awbe**r****r**y\n\nThe letters r appear in positions 3, 8, and 9.",
"settings": {
"topK": 40,
"topP": 0.9,
"maxTokens": 98.1,
"temperature": 0.7
},
"providerId": "openrouter"
},
{
"error": null,
"model": "google/gemini-2.0-flash-001",
"status": "success",
"timing": {
"endTime": "2025-12-17T14:29:48.068Z",
"startTime": "2025-12-17T14:29:47.489Z",
"duration_ms": 579
},
"tokens": {
"total": 29,
"prompt": 15,
"response": 14
},
"provider": "OpenRouter",
"response": "There are three \"r\"s in the word \"Strawberry\".",
"settings": {
"topK": 40,
"topP": 0.9,
"maxTokens": 98.1,
"temperature": 0.7
},
"providerId": "openrouter"
},
{
"error": null,
"model": "google/gemini-2.5-pro-preview-05-06",
"status": "success",
"timing": {
"endTime": "2025-12-17T14:29:57.991Z",
"startTime": "2025-12-17T14:29:47.489Z",
"duration_ms": 10502
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"tokens": {
"total": 29,
"prompt": 15,
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},
"provider": "OpenRouter",
"response": "There are three 'r's in the word \"Strawberry\".",
"settings": {
"topK": 40,
"topP": 0.9,
"maxTokens": 98.1,
"temperature": 0.7
},
"providerId": "openrouter"
},
{
"error": null,
"model": "google/gemini-2.5-pro",
"status": "success",
"timing": {
"endTime": "2025-12-17T14:30:01.562Z",
"startTime": "2025-12-17T14:29:47.489Z",
"duration_ms": 14073
},
"tokens": {
"total": 29,
"prompt": 15,
"response": 14
},
"provider": "OpenRouter",
"response": "There are three 'r's in the word \"Strawberry\".",
"settings": {
"topK": 40,
"topP": 0.9,
"maxTokens": 98.1,
"temperature": 0.7
},
"providerId": "openrouter"
},
{
"error": null,
"model": "x-ai/grok-3-mini",
"status": "success",
"timing": {
"endTime": "2025-12-17T14:30:08.650Z",
"startTime": "2025-12-17T14:30:01.563Z",
"duration_ms": 7087
},
"tokens": {
"total": 109,
"prompt": 15,
"response": 94
},
"provider": "OpenRouter",
"response": "It looks like there might be a typo in your question, and you meant \"word\" instead of \"work.\" I'll assume you're asking about the word \"Strawberry.\"\n\nThe word \"Strawberry\" contains **3 'r's**. Here's a quick breakdown:\n\n- S-t-**r**-a-w-b-e-**r**-**r**-y\n\nIf you have any more questions or need clarification, feel free to ask! \ud83d\ude0a",
"settings": {
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"topP": 0.9,
"maxTokens": 98.1,
"temperature": 0.7
},
"providerId": "openrouter"
},
{
"error": null,
"model": "x-ai/grok-3",
"status": "success",
"timing": {
"endTime": "2025-12-17T14:30:11.495Z",
"startTime": "2025-12-17T14:30:01.563Z",
"duration_ms": 9932
},
"tokens": {
"total": 108,
"prompt": 15,
"response": 93
},
"provider": "OpenRouter",
"response": "Let's count the letters in the word \"Strawberry\" to find out how many 'r's there are:\n\n- S\n- t\n- r (here's the first 'r')\n- a\n- w\n- b\n- e\n- r (here's the second 'r')\n- r (here's the third 'r')\n- y\n\nSo, in the word \"Strawberry\", there are **3 'r's**.",
"settings": {
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"topP": 0.9,
"maxTokens": 98.1,
"temperature": 0.7
},
"providerId": "openrouter"
},
{
"error": null,
"model": "x-ai/grok-4",
"status": "success",
"timing": {
"endTime": "2025-12-17T14:30:11.497Z",
"startTime": "2025-12-17T14:30:01.563Z",
"duration_ms": 9934
},
"tokens": {
"total": 93,
"prompt": 15,
"response": 78
},
"provider": "OpenRouter",
"response": "It looks like there might be a typo in your query (\"work\" instead of \"word\"), but assuming you're asking about the word \"strawberry,\" there are **three** 'r's in it.\n\n- S-T-**R**-A-W-B-E-**R**-**R**-Y\n\nIf that's not what you meant, feel free to clarify! \ud83d\ude0a",
"settings": {
"topK": 40,
"topP": 0.9,
"maxTokens": 98.1,
"temperature": 0.7
},
"providerId": "openrouter"
}
],
"settings": {
"topK": 40,
"topP": 0.9,
"maxTokens": 98.1,
"concurrency": 3,
"temperature": 0.7,
"timeoutSeconds": 120
},
"timestamp": "2025-12-17T14:30:11.497Z",
"errorCount": 0,
"benchmarkId": "benchmark_1765981811497",
"modelsCount": 12,
"successCount": 12,
"totalDuration_ms": 33579
}Summarized Test Results
AI Model Benchmark Test Results: Letter Counting Task
Testing Procedure
This benchmark evaluates AI models by placing them in simulated embedded scenarios with standardized prompts. Each model receives identical system instructions ("You are a helpful assistant") and the same test input. Responses are collected and analyzed for accuracy, providing transparent insight into model capabilities.
Test Description
Task: Count the number of 'r's in the word "Strawberry"
Correct Answer: 3 (positions: strawberry)
Difficulty: Basic character recognition and counting
Purpose: Tests fundamental text analysis and attention to detail
Results Summary
| Model | Provider | Answer Given | Pass/Fail | Response Time | Tokens Used |
|---|---|---|---|---|---|
| ------- | ---------- | -------------- | ----------- | --------------- | ------------- |
| openai/gpt-5.2-chat | OpenRouter | 3 | ✅ PASS | 3,078ms | 38 |
| openai/gpt-5.1 | OpenRouter | 3 | ✅ PASS | 3,881ms | 37 |
| openai/o4-mini-high | OpenRouter | 3 | ✅ PASS | 6,426ms | 29 |
| anthropic/claude-3.7-sonnet | OpenRouter | 3 | ✅ PASS | 1,162ms | 30 |
| anthropic/claude-sonnet-4.5 | OpenRouter | 3 | ✅ PASS | 2,517ms | 163 |
| anthropic/claude-opus-4.5 | OpenRouter | 3 | ✅ PASS | 3,144ms | 61 |
| google/gemini-2.0-flash-001 | OpenRouter | 3 | ✅ PASS | 579ms | 29 |
| google/gemini-2.5-pro-preview-05-06 | OpenRouter | 3 | ✅ PASS | 10,502ms | 29 |
| google/gemini-2.5-pro | OpenRouter | 3 | ✅ PASS | 14,073ms | 29 |
| x-ai/grok-3-mini | OpenRouter | 3 | ✅ PASS | 7,087ms | 109 |
| x-ai/grok-3 | OpenRouter | 3 | ✅ PASS | 9,932ms | 108 |
| x-ai/grok-4 | OpenRouter | 3 | ✅ PASS | 9,934ms | 93 |
Key Findings
Accuracy
All 12 models correctly identified 3 'r's in "Strawberry." This represents a significant improvement over historical performance on this task, which previously tripped up many language models.Response Approaches
| Approach | Models |
|---|---|
| ---------- | -------- |
| Direct Answer | GPT-5.2, GPT-5.1, o4-mini-high, Claude-3.7-sonnet, Gemini models |
| Step-by-Step Breakdown | Claude-sonnet-4.5, Grok-3 |
| Answer + Position Identification | Claude-opus-4.5, Grok-3-mini, Grok-4 |
Fastest Response:
🥇 Gemini-2.0-flash-001 (579ms)
Most Efficient (tokens):
🥇 o4-mini-high, Gemini models (29 tokens)
Most Thorough Explanation:
🥇 Claude-sonnet-4.5 (148 response tokens with full letter-by-letter breakdown)
Notable Observations
- Typo Detection: Grok-3-mini and Grok-4 proactively noted the typo ("work" vs "word") in the prompt—demonstrating attention to detail
- Show Your Work: Claude-sonnet-4.5 provided the most detailed reasoning, explicitly marking each letter
- Speed vs. Depth Trade-off: Faster models (Gemini Flash) gave concise answers; slower models often provided explanations
Conclusion
This historically challenging "Strawberry" letter-counting task now shows universal success across all tested models from OpenAI, Anthropic, Google, and xAI. This suggests significant improvements in character-level text processing across the latest generation of language models.