Results
Results Table
π€ Letter Counting Test Results
Correct Answers: 3 r's in "Strawberry" | 3 d's in "Diddy"
| Model | R's Answer | D's Answer | Result | Time (ms) |
|---|---|---|---|---|
| anthropic/claude-sonnet-4 | 3 | 3 | β PASS | 2,420 |
| anthropic/claude-opus-4.5 | 3 | 3 | β PASS | 2,772 |
| anthropic/claude-opus-4.1 | 3 | 3 | β PASS | 8,499 |
| google/gemini-2.0-flash-001 | 2 | 2 | β FAIL | 862 |
| google/gemini-2.5-pro | 3 | 3 | β PASS | 5,579 |
| google/gemini-3-pro-preview | 3 | 3 | β PASS | 6,662 |
| meta-llama/llama-4-scout | 2 | 3 | Β½ PARTIAL | 555 |
| meta-llama/llama-3.1-70b-instruct | 2 | 2 | β FAIL | 581 |
| meta-llama/llama-4-maverick | 2 | 2 | β FAIL | 1,667 |
| openai/gpt-4.1 | 3 | 2 | Β½ PARTIAL | 1,179 |
| openai/gpt-5.2 | 3 | 3 | β PASS | 5,454 |
| openai/gpt-5 | 3 | 3 | β PASS | 12,736 |
| x-ai/grok-3 | 3 | 3 | β PASS | 2,568 |
| x-ai/grok-4.1-fast | 3 | 3 | β PASS | 2,989 |
| x-ai/grok-4 | 3 | 3 | β PASS | 12,037 |
| deepseek/deepseek-chat-v3.1 | 3 | 3 | β PASS | 3,182 |
| deepseek/deepseek-v3.2 | 3 | 3 | β PASS | 5,600 |
| deepseek/deepseek-chat | 3 | 3 | β PASS | 38,230 |
| z-ai/glm-4-32b | 3 | 1 | Β½ PARTIAL | 2,743 |
| z-ai/glm-4.7 | 3 | 3 | β PASS | 11,113 |
| z-ai/glm-4.5 | 3 | 3 | β PASS | 24,325 |
LLM Benchmark
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"user": "How many 'r's in the word Strawberry? How many 'd's in the word Diddy?",
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"response": "I'll count the letters in each word:\n\n**Strawberry:**\nS-t-r-a-w-b-e-r-r-y\n\nCounting the 'r's: there are **3** r's in \"Strawberry\" (positions 3, 8, and 9)\n\n**Diddy:**\nD-i-d-d-y\n\nCounting the 'd's: there are **3** d's in \"Diddy\" (positions 1, 3, and 4)",
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"response": "Let me count each one:\n\n**Strawberry**: S-t-r-a-w-b-e-r-r-y\nThere are **3 r's** in \"Strawberry\"\n\n**Diddy**: D-i-d-d-y\nThere are **3 d's** in \"Diddy\"",
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"endTime": "2026-01-11T22:46:31.004Z",
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"duration_ms": 8499
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"total": 139,
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"response": "I'll count the letters in each word for you.\n\nFor \"Strawberry\":\nLet me go through each letter: S-t-r-a-w-b-e-r-r-y\nThe 'r's appear in positions 3, 8, and 9.\nThere are **3 'r's** in \"Strawberry\"\n\nFor \"Diddy\":\nLet me go through each letter: D-i-d-d-y\nThe 'd's appear in positions 1, 3, and 4.\nThere are **3 'd's** in \"Diddy\"",
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"response": "Okay, let's count them:\n\n* **Strawberry:** There are **two** \"r\"s in the word \"Strawberry\".\n* **Diddy:** There are **two** \"d\"s in the word \"Diddy\".",
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"response": "There are three 'r's in the word St**r**awbe**rr**y.\n\nThere are three 'd's in the word **D**i**dd**y.",
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"response": "There are **3** \"r\"s in Strawberry.\n\nThere are **3** \"d\"s in Diddy.",
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"response": "There are 2 'r's in the word Strawberry.\n\nThere are 3 'd's in the word Diddy.",
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"response": "* There are 2 'r's in the word Strawberry.\n* There are 2 'd's in the word Diddy.",
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"response": "Let's count them!\n\n1. In the word \"Strawberry\", there are 2 'r's.\n2. In the word \"Diddy\", there are 2 'd's.\n\nSo, the answers are: 2 'r's and 2 'd's.",
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"response": "- The word **Strawberry** contains **3 'r's**.\n- The word **Diddy** contains **2 'd's**.",
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"response": "- **Strawberry**: **3** \u201cr\u201ds \n- **Diddy**: **3** \u201cd\u201ds",
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"response": "- Strawberry: 3 r\u2019s\n- Diddy: 3 d\u2019s (counting letters regardless of case); 2 if counting only lowercase d\u2019s",
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"response": "Let's break this down:\n\n1. In the word \"Strawberry\":\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 So, there are **3 'r's** in \"Strawberry\".\n\n2. In the word \"Diddy\":\n - D (here's the first 'd', capitalized)\n - i\n - d (here's the second 'd')\n - d (here's the third 'd')\n - y\n So, there are **3 'd's** in \"Diddy\" (noting that capitalization does not affect the count unless specified).\n\n**Final Answer**: There are 3 'r's in \"Strawberry\" and 3 'd's in \"Diddy\".",
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"response": "**3 'r's** in \"Strawberry\" (S-T-**R**-A-W-B-E-**R**-**R**-Y). \n**3 'd's** in \"Diddy\" (**D**-I-**D**-**D**-Y).",
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"response": "Based on a straightforward letter count (case-insensitive):\n\n- \"Strawberry\" has **three 'r's** (S-T-**R**-A-W-B-E-**R**-**R**-Y).\n- \"Diddy\" has **three 'd's** ( **D**-I- **D**- **D**-Y).",
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"endTime": "2026-01-11T22:47:07.289Z",
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"response": "Let's count the letters step by step. \n\n**1. \"Strawberry\"** \nThe word is: **S t r a w b e r r y** \nThe letter **r** appears at positions 4, 8, and 9 (if counting from 1). \nSo there are **3** r's in \"Strawberry\". \n\n**2. \"Diddy\"** \nThe word is: **D i d d y** \nThe letter **d** appears at positions 1, 3, and 4. \nSo there are **3** d's in \"Diddy\". \n\n**Final answer:** \n- r's in Strawberry: **3** \n- d's in Diddy: **3**",
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"response": "Let\u2019s count step by step. \n\n**First question:** \nStrawberry \u2192 letters: S, t, r, a, w, b, e, r, r, y \nCount of 'r's: positions 3, 8, 9 \u2192 total **3** r\u2019s.\n\n**Second question:** \nDiddy \u2192 letters: D, i, d, d, y \nCount of 'd's: positions 3 and 4 (lowercase) plus position 1 is capital 'D' \u2014 typically we count regardless of case unless specified otherwise. \nSo: D (1), d (2), d (3) \u2192 total **3** d\u2019s.\n\n**Final answer:** \n3 r\u2019s in Strawberry, 3 d\u2019s in Diddy.",
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"response": "Alright, let's tackle these two word problems one by one. I'll start with the first question: **How many 'r's are in the word \"Strawberry\"?**\n\n### Counting 'r's in \"Strawberry\"\n\nFirst, let's write down the word clearly:\n\nS T R A W B E R R Y\n\nNow, I'll go through each letter one by one and count how many times the letter 'r' appears. It's important to note whether we're considering uppercase and lowercase letters, but since the word is given in title case (\"Strawberry\") and the rest are lowercase, I'll assume we're looking for both 'R' and 'r'. However, in \"Strawberry,\" the first letter is uppercase 'S', and the rest are lowercase unless specified otherwise. But the word is \"Strawberry,\" so let's see:\n\n1. S - not an 'r'\n2. T - not an 'r'\n3. R - this is an 'R' (uppercase)\n4. A - not an 'r'\n5. W - not an 'r'\n6. B - not an 'r'\n7. E - not an 'r'\n8. R - this is an 'r' (lowercase)\n9. R - another 'r' (lowercase)\n10. Y - not an 'r'\n\nNow, let's count the 'r's:\n- The third letter is 'R' (1)\n- The eighth letter is 'r' (2)\n- The ninth letter is 'r' (3)\n\nWait a minute, that seems like three 'r's: one uppercase at the beginning and two lowercase towards the end. But is the third letter 'R' uppercase? Actually, in \"Strawberry,\" the first letter is uppercase 'S', and the rest are lowercase unless it's a proper noun where other letters might be capitalized, but typically, it's 'S'trawberry with the rest lowercase. So let's assume it's all lowercase except the first letter:\n\ns t r a w b e r r y\n\nNow counting 'r's:\n1. s\n2. t\n3. r (1)\n4. a\n5. w\n6. b\n7. e\n8. r (2)\n9. r (3)\n10. y\n\nStill three 'r's. But is the first 'r' uppercase? In \"Strawberry,\" only 'S' is uppercase, so 'r' is lowercase. So three lowercase 'r's.\n\nWait, let me think about the spelling again. Is it \"Strawberry\" or \"Strawbery\"? Sometimes people misspell it. The correct spelling is \"Strawberry\" with two 'r's in the middle and one at the end? Wait, no:\n\nS-T-R-A-W-B-E-R-R-Y: that's two 'r's after the 'e', so total 'r's:\n\nthird letter: r\neighth: r\nninth: r\n\nSo three 'r's total.\n\nBut let me think of the pronunciation: \"straw-berr-y.\" It's got that double 'r' sound, which is represented by two 'r's in a row before the 'y'. So spelling is S-T-R-A-W-B-E-R-R-Y, so positions:\n\n1: S\n2: T\n3: R\n4: A\n5: W\n6: B\n7: E\n8: R\n9: R\n10: Y\n\nSo 'r's at positions 3, 8, and 9: total 3 'r's.\n\nBut is the first 'r' uppercase? Only if the word is all uppercase or the 'r' is at the start, but here 'S' is uppercase, 't' is lowercase, 'r' is lowercase, etc. So all 'r's are lowercase in standard capitalization.\n\nSo final count: 3 'r's in \"Strawberry.\"\n\nBut wait, let me check the spelling again to be sure. Sometimes words can be tricky. \"Strawberry\" is indeed spelled with two 'r's after the 'e' and one before, making it three 'r's total.\n\n### Counting 'd's in \"Diddy\"\n\nNow, let's move to the second question: **How many 'd's are in the word \"Diddy\"?**\n\nFirst, write down the word:\n\nD I D D Y\n\nNow, let's count the 'd's. Again, considering uppercase and lowercase. The word is \"Diddy,\" so:\n\n1. D - uppercase 'D' (1)\n2. I - not a 'd'\n3. D - lowercase 'd' (2)\n4. D - lowercase 'd' (3)\n5. Y - not a 'd'\n\nSo, counting 'd's:\n- First letter: 'D' (1)\n- Third letter: 'd' (2)\n- Fourth letter: 'd' (3)\n\nThat's three 'd's in \"Diddy.\"\n\nBut let's think about the spelling: \"Diddy\" is D-I-D-D-Y, so letters:\n\n1: D\n2: I\n3: D\n4: D\n5: Y\n\nSo 'd's at positions 1, 3, and 4: total 3 'd's.\n\nIs the first 'D' uppercase and the rest lowercase? Typically, proper nouns are capitalized at the beginning, so \"Diddy\" would have 'D' uppercase and 'i', 'd', 'd', 'y' lowercase. So one uppercase 'D' and two lowercase 'd's, totaling three 'd's.\n\nBut is that correct? Let me think of the pronunciation: \"Diddy\" sounds like it has a strong 'd' at the start and then two quick 'd's before the 'y'. So spelling seems correct with three 'd's.\n\n### Verifying the Counts\n\nTo ensure I didn't make a mistake, let me recount quickly.\n\nFor \"Strawberry\":\nS (1), T (2), R (3), A (4), W (5), B (6), E (7), R (8), R (9), Y (10)\n'r's at positions 3, 8, 9: 3 'r's.\n\nFor \"Diddy\":\nD (1), I (2), D (3), D (4), Y (5)\n'd's at positions 1, 3, 4: 3 'd's.\n\n### Potential Missteps\n\nInitially, I wondered if the first 'r' in \"Strawberry\" is uppercase, but since only the first letter 'S' is uppercase in standard capitalization, all 'r's are lowercase. Similarly, in \"Diddy,\" the first 'D' is uppercase, and the subsequent 'd's are lowercase, but they're all still 'd's regardless of case unless specified to distinguish case.\n\nIf the question is case-sensitive and asks specifically for lowercase 'r's and 'd's, then:\n\n- \"Strawberry\": all three 'r's are lowercase (assuming standard capitalization), so 3.\n- \"Diddy\": first 'D' is uppercase, next two 'd's are lowercase, so if counting only lowercase 'd's, then 2. But the question doesn't specify, so likely counting all 'd's regardless of case, which is 3.\n\nGiven the questions don't mention case sensitivity, it's safe to count all instances of the letter regardless of case.\n\n### Final Answer\n\nAfter carefully counting:\n\n- There are **3 'r's** in the word \"Strawberry.\"\n- There are **3 'd's** in the word \"Diddy.\"",
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"response": "Let's count them:\n\n1. There are three 'r's in the word \"Strawberry\".\n2. There is one 'd' in the word \"Diddy\".",
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"response": "There are **3** 'r's in the word \"Strawberry\".\n\nThere are **3** 'd's in the word \"Diddy\".",
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"model": "z-ai/glm-4.5",
"status": "success",
"timing": {
"endTime": "2026-01-11T22:48:06.665Z",
"startTime": "2026-01-11T22:47:42.340Z",
"duration_ms": 24325
},
"tokens": {
"total": 308,
"prompt": 26,
"response": 282
},
"provider": "OpenRouter",
"response": "Let's break down each question step by step:\n\n### 1. How many 'r's are in the word \"Strawberry\"?\n- The word \"Strawberry\" is spelled: S-t-r-a-w-b-e-r-r-y.\n- Counting the occurrences of the letter 'r' (case-insensitive, as is standard in such counts):\n - The third letter is 'r' (1).\n - The eighth letter is 'r' (2).\n - The ninth letter is 'r' (3).\n- Total: There are **3 'r's** in \"Strawberry\".\n\n### 2. How many 'd's are in the word \"Diddy\"?\n- The word \"Diddy\" is spelled: D-i-d-d-y.\n- Counting the occurrences of the letter 'd' (case-insensitive):\n - The first letter is 'D', which is the same as 'd' (1).\n - The third letter is 'd' (2).\n - The fourth letter is 'd' (3).\n- Total: There are **3 'd's** in \"Diddy\".\n\n### Summary:\n- \"Strawberry\" has **3 'r's**.\n- \"Diddy\" has **3 'd's**.\n\nIf you have any other words or letters to count, feel free to ask! \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": "2026-01-11T22:48:06.666Z",
"errorCount": 0,
"benchmarkId": "benchmark_1768171686666",
"modelsCount": 21,
"successCount": 21,
"totalDuration_ms": 104161
}
Summarized Test Results
AI Model Benchmark Test Results: Letter Counting
Testing Procedure
Each AI model was configured as a simple "helpful assistant" and given identical prompts through the OpenRouter API. Models operated with standardized parameters (temperature: 0.7, topP: 0.9, topK: 40) to ensure consistent comparison. Response times, token usage, and answer accuracy were recorded for analysis.
Test Description
This benchmark evaluates models on a basic letter counting task - a deceptively simple challenge that tests character-level text processing. Models were asked:
- How many 'r's in "Strawberry"? (Correct answer: 3)
- How many 'd's in "Diddy"? (Correct answer: 3)
This test reveals whether models can accurately parse text at the character level rather than relying on pattern matching or word-level processing.
Results Summary
| Model | 'r' in Strawberry | 'd' in Diddy | Overall | Response Time (ms) |
|---|---|---|---|---|
| :------ | :----------------: | :------------: | :-------: | -------------------: |
| anthropic/claude-sonnet-4 | β 3 | β 3 | PASS | 2,420 |
| anthropic/claude-opus-4.5 | β 3 | β 3 | PASS | 2,772 |
| anthropic/claude-opus-4.1 | β 3 | β 3 | PASS | 8,499 |
| google/gemini-2.0-flash-001 | β 2 | β 2 | FAIL | 862 |
| google/gemini-2.5-pro | β 3 | β 3 | PASS | 5,579 |
| google/gemini-3-pro-preview | β 3 | β 3 | PASS | 6,662 |
| meta-llama/llama-4-scout | β 2 | β 3 | FAIL | 555 |
| meta-llama/llama-3.1-70b-instruct | β 2 | β 2 | FAIL | 581 |
| meta-llama/llama-4-maverick | β 2 | β 2 | FAIL | 1,667 |
| openai/gpt-4.1 | β 3 | β 2 | FAIL | 1,179 |
| openai/gpt-5.2 | β 3 | β 3 | PASS | 5,454 |
| openai/gpt-5 | β 3 | β 3 | PASS | 12,736 |
| x-ai/grok-3 | β 3 | β 3 | PASS | 2,568 |
| x-ai/grok-4.1-fast | β 3 | β 3 | PASS | 2,989 |
| x-ai/grok-4 | β 3 | β 3 | PASS | 12,037 |
| deepseek/deepseek-chat-v3.1 | β 3 | β 3 | PASS | 3,182 |
| deepseek/deepseek-v3.2 | β 3 | β 3 | PASS | 5,600 |
| deepseek/deepseek-chat | β 3 | β 3 | PASS | 38,230 |
| z-ai/glm-4-32b | β 3 | β 1 | FAIL | 2,743 |
| z-ai/glm-4.7 | β 3 | β 3 | PASS | 11,113 |
| z-ai/glm-4.5 | β 3 | β 3 | PASS | 24,325 |
Performance Breakdown
Pass Rate by Provider
| Provider | Models Tested | Passed | Pass Rate |
|---|---|---|---|
| :--------- | :-------------: | :------: | :---------: |
| Anthropic | 3 | 3 | 100% |
| xAI (Grok) | 3 | 3 | 100% |
| DeepSeek | 3 | 3 | 100% |
| OpenAI | 3 | 2 | 67% |
| 3 | 2 | 67% | |
| Z-AI (GLM) | 3 | 2 | 67% |
| Meta (Llama) | 3 | 0 | 0% |
π Perfect Performers:
- Anthropic models achieved 100% accuracy across all three versions tested, with Claude Sonnet 4 being the fastest (2,420ms)
- xAI Grok family showed consistent accuracy, with Grok-4.1-fast offering the best speed/accuracy balance
- DeepSeek models all passed, though deepseek-chat took significantly longer (38s) due to extensive reasoning
β οΈ Notable Failures:
- Meta Llama models struggled significantly - all three failed, with two getting both answers wrong
- Google Gemini 2.0 Flash prioritized speed (862ms) but sacrificed accuracy on both counts
- OpenAI GPT-4.1 correctly counted 'r's but missed on 'd's, while newer GPT-5 variants succeeded
π Interesting Patterns:
- Speed vs. Accuracy Trade-off: The fastest model (Llama-4-scout at 555ms) failed, while slower models tended to be more accurate
- Reasoning Helps: Models that showed their work (like deepseek-chat with step-by-step counting) achieved correct answers
- "Strawberry" Problem: This word is notoriously difficult for LLMs - 5 models got it wrong
- Case Sensitivity Awareness: GPT-5 notably mentioned case considerations for "Diddy" (D-i-d-d-y)
Response Time Analysis
| Category | Models | Avg Time |
|---|---|---|
| :--------- | :------: | :--------: |
| Fast (<2s) | 4 | 766ms |
| Medium (2-6s) | 9 | 3,793ms |
| Slow (>6s) | 8 | 16,131ms |
Conclusion
This basic benchmark reveals that character-level counting remains a challenge for many LLMs. The "Strawberry" problemβfamously difficult due to the consecutive 'r'sβcontinues to trip up models. Anthropic, xAI, and DeepSeek demonstrated the most reliable performance, while Meta's Llama family showed concerning weaknesses in this fundamental task. The results suggest that model architecture and training methodology significantly impact basic text processing capabilities beyond just language understanding.