Chess Puzzles
Reasoning · questions rotate
Tactical chess positions with one correct continuation.
How far to trust it
A narrow skill, and not one most buyers need. It is in the composite because it discriminates well, not because it is representative.
Measured
Models scored
157
Spread between models
15.8
standard deviation, points
Measurement noise
3.8
published stderr
Weight
0.94
share of spread that is signal
The weight is (spread² − noise²) / spread². It is computed, never chosen. Most of this benchmark's spread is real, so it still separates models.
Every model scored
the median across configurations, so one heroic run cannot lead
| Rank | Model | Lab | Score |
|---|---|---|---|
| 1 | GPT-6 Astra | OpenAI | 72.0 |
| 2 | GPT-5.5 Pro pre-release | OpenAI | 64.0 |
| 3 | GPT-5.6 Sol | OpenAI | 64.0 |
| 4 | Gemini 3.8 Flash | 61.0 | |
| 5 | GPT-5.4 Pro | OpenAI | 58.6 |
| 6 | Gemini 3.1 Pro Preview | 52.0 | |
| 7 | Claude Fable 5.1 | Anthropic | 47.0 |
| 8 | DeepSeek V4 Pro 0813 | DeepSeek | 47.0 |
| 9 | Gemini 3.7 Flash | 47.0 | |
| 10 | Gemini 3.5 Flash | 45.0 | |
| 11 | Claude Fable 5 | Anthropic | 41.0 |
| 12 | GPT-5.6 Sol | OpenAI | 41.0 |
| 13 | Gemini 3.6 Flash | 40.0 | |
| 14 | GPT 5.2 | OpenAI | 40.0 |
| 15 | GPT-5.5 | OpenAI | 40.0 |
| 16 | Qwen3.8 Max (0902) | Alibaba | 40.0 |
| 17 | Gemini 3 Flash Preview | 39.0 | |
| 18 | GPT-5.4 | OpenAI | 38.0 |
| 19 | GPT-5.6 Terra | OpenAI | 38.0 |
| 20 | Grok 4.5 | xAI | 36.0 |
| 21 | Grok 4.6 | xAI | 35.5 |
| 22 | Claude Opus 5 | Anthropic | 33.0 |
| 23 | DeepSeek V4 Flash 0731 | DeepSeek | 33.0 |
| 24 | o3 | OpenAI | 33.0 |
| 25 | Claude Opus 4.8 | Anthropic | 31.5 |
| 26 | Gemini 3 Pro Preview | 31.0 | |
| 27 | GPT-5.6 Luna | OpenAI | 30.5 |
| 28 | Qwen3.8 Max | Alibaba | 29.0 |
| 29 | Grok 4 | xAI | 28.0 |
| 30 | GPT 5 | OpenAI | 26.5 |
| 31 | Kimi K2.6 | Kimi | 26.0 |
| 32 | Qwen3.6 35B-A3B | Alibaba | 26.0 |
| 33 | Claude Sonnet 5 | Anthropic | 25.5 |
| 34 | Grok 4.3 Beta | xAI | 25.0 |
| 35 | Kimi K3 | Kimi | 25.0 |
| 36 | Gemini 3.1 Flash-Lite | 24.0 | |
| 37 | Grok 4.20 | xAI | 24.0 |
| 38 | Qwen3.7 Plus | Alibaba | 24.0 |
| 39 | GPT-5.4 nano | OpenAI | 23.5 |
| 40 | GPT 5.1 | OpenAI | 23.0 |
| 41 | Qwen3.7 Flash | Alibaba | 23.0 |
| 42 | Qwen3.5 Plus | Alibaba | 22.0 |
| 43 | Qwen3.6 27B | Alibaba | 22.0 |
| 44 | Gemini 3.5 Flash-Lite | 21.0 | |
| 45 | GLM-5.3 | Zhipu | 21.0 |
| 46 | GPT-5.4 mini | OpenAI | 21.0 |
| 47 | Inkling | Thinking Machines | 21.0 |
| 48 | Kimi K2.7 Code | Kimi | 21.0 |
| 49 | Qwen3.5 Flash | Alibaba | 21.0 |
| 50 | Claude Opus 4.7 | Anthropic | 20.0 |
| 51 | Gemini 2.5 Pro | 20.0 | |
| 52 | gpt-oss-120b | OpenAI | 20.0 |
| 53 | Kimi K2 Instruct | Kimi | 20.0 |
| 54 | o4-mini | OpenAI | 20.0 |
| 55 | Qwen3.6 Max Preview | Alibaba | 20.0 |
| 56 | Qwen3.6 Flash | Alibaba | 20.0 |
| 57 | GPT 5 mini | OpenAI | 19.8 |
| 58 | GLM-5.1 | Zhipu | 19.0 |
| 59 | Qwen3.7-Max | Alibaba | 19.0 |
| 60 | Inkling Small | Thinking Machines | 18.0 |
| 61 | GLM-5.2 | Zhipu | 17.5 |
| 62 | GPT 5 nano | OpenAI | 17.5 |
| 63 | GPT-5.1 | OpenAI | 17.0 |
| 64 | Qwen3.6 Plus | Alibaba | 17.0 |
| 65 | DeepSeek v4 | DeepSeek | 16.5 |
| 66 | GLM-5.3-Flash | Zhipu | 14.0 |
| 67 | MiniMax M3 | MiniMax | 14.0 |
| 68 | Claude Opus 4.6 | Anthropic | 13.5 |
| 69 | Claude Opus 4.8 | Anthropic | 13.0 |
| 70 | GPT 4o | OpenAI | 13.0 |
| 71 | Qwen3.5 397B-A17B | Alibaba | 13.0 |
| 72 | seed-oss-36b-instruct | — | 13.0 |
| 73 | Claude Opus 4.5 | Anthropic | 12.0 |
| 74 | Claude Sonnet 4.5 | Anthropic | 12.0 |
| 75 | GPT-5.5 Instant | OpenAI | 12.0 |
| 76 | Kimi K2.5 | Kimi | 12.0 |
| 77 | Nemotron 3 Ultra | NVIDIA | 12.0 |
| 78 | Qwen3-235B-A22B | Alibaba | 12.0 |
| 79 | Qwen3.5 397B-A17B | Alibaba | 12.0 |
| 80 | Qwen3.5 9B | Alibaba | 12.0 |
| 81 | o1-2024-12-17 | OpenAI | 11.3 |
| 82 | O3 Mini | OpenAI | 10.7 |
| 83 | GLM 5 | Zhipu | 10.0 |
| 84 | GPT-5.5 | OpenAI | 10.0 |
| 85 | Qwen3.6 27B | Alibaba | 9.0 |
| 86 | Qwen3.7 Flash | Alibaba | 9.0 |
| 87 | Qwen3.7 Plus | Alibaba | 9.0 |
| 88 | Claude Haiku 4.5 | Anthropic | 8.0 |
| 89 | DeepSeek-V3.2-Exp | DeepSeek | 7.5 |
| 90 | Claude Opus 4.1 | Anthropic | 7.0 |
| 91 | DeepSeek v4 | DeepSeek | 7.0 |
| 92 | GPT 4.1 mini | OpenAI | 7.0 |
| 93 | GPT-5.6 Sol | OpenAI | 7.0 |
| 94 | Claude Sonnet 4.6 | Anthropic | 6.5 |
| 95 | Gemma 4 26B-A4B IT | 6.0 | |
| 96 | GLM-4.7 | Zhipu | 6.0 |
| 97 | GLM-5.2 | Zhipu | 6.0 |
| 98 | GPT 4.1 | OpenAI | 6.0 |
| 99 | GPT-4 Turbo | OpenAI | 6.0 |
| 100 | Qwen3.5-35B-A3B | Alibaba | 5.5 |
| 101 | Claude 3 Opus | Anthropic | 5.0 |
| 102 | Gemma 4 31B IT | 5.0 | |
| 103 | GPT-5.4 | OpenAI | 5.0 |
| 104 | GPT-5.6 Terra | OpenAI | 5.0 |
| 105 | Qwen3-30B-A3B | Alibaba | 5.0 |
| 106 | Qwen3 8B | Alibaba | 5.0 |
| 107 | QwQ 32B | Alibaba | 5.0 |
| 108 | Claude Opus 4.5 | Anthropic | 4.0 |
| 109 | Claude Sonnet 4.5 | Anthropic | 4.0 |
| 110 | GPT-4 | OpenAI | 4.0 |
| 111 | GPT-5.2 | OpenAI | 4.0 |
| 112 | MiniMax M3 | MiniMax | 4.0 |
| 113 | Qwen3 Max | Alibaba | 4.0 |
| 114 | qwen3-4b-instruct-2507 | — | 4.0 |
| 115 | Qwen3.6 35B-A3B | Alibaba | 4.0 |
| 116 | DeepSeek-R1-0528 | — | 3.0 |
| 117 | GPT-5.4 mini | OpenAI | 3.0 |
| 118 | GPT-5.4 nano | OpenAI | 3.0 |
| 119 | Magistral Small 1.2 | Mistral | 3.0 |
| 120 | Qwen3 32B | Alibaba | 3.0 |
| 121 | Qwen3-30B-A3B | Alibaba | 2.5 |
| 122 | GPT-5.6 Luna | OpenAI | 2.0 |
| 123 | gpt-oss-20b | OpenAI | 2.0 |
| 124 | Qwen3-14B | Alibaba | 2.0 |
| 125 | Qwen3.5 9B | Alibaba | 2.0 |
| 126 | DeepSeek-R1-Distill-Qwen-14B | DeepSeek | 1.0 |
| 127 | DeepSeek-R1-Distill-Qwen-32B | DeepSeek | 1.0 |
| 128 | Mistral Small 3.1 | Mistral | 1.0 |
| 129 | Mistral Small 3.2 | Mistral | 1.0 |
| 130 | Phi-4 | Microsoft | 1.0 |
| 131 | Qwen3-4B | Alibaba | 1.0 |
| 132 | DeepSeek LLM 67B | DeepSeek | 0.0 |
| 133 | DeepSeek-R1-Distill-Qwen-1.5B | DeepSeek | 0.0 |
| 134 | Gemma 3 12B | 0.0 | |
| 135 | Gemma 3 1B | 0.0 | |
| 136 | Gemma 3 27B | 0.0 | |
| 137 | Gemma 3 4B | 0.0 | |
| 138 | glm-4.7-flash | — | 0.0 |
| 139 | glm-4.7-flash_none | — | 0.0 |
| 140 | GPT-3.5 Turbo | OpenAI | 0.0 |
| 141 | GPT-4o mini | OpenAI | 0.0 |
| 142 | granite-4.0-1b | — | 0.0 |
| 143 | granite-4.0-350m | — | 0.0 |
| 144 | granite-4.0-micro | — | 0.0 |
| 145 | Llama 2-13B | Meta | 0.0 |
| 146 | Llama 2-7B | Meta | 0.0 |
| 147 | Llama 3.1-8B | Meta | 0.0 |
| 148 | Llama 3.2 1B | Meta | 0.0 |
| 149 | Llama 3-8B | Meta | 0.0 |
| 150 | Mistral 7B | Mistral | 0.0 |
| 151 | Mistral Small 3 | Mistral | 0.0 |
| 152 | phi-3-mini 3.8B | Microsoft | 0.0 |
| 153 | Qwen2.5-32B | Alibaba | 0.0 |
| 154 | Qwen2.5-7B | Alibaba | 0.0 |
| 155 | Qwen3-1.7B | Alibaba | 0.0 |
| 156 | Qwen3.5-2B | Alibaba | 0.0 |
| 157 | Qwen3 8B | Alibaba | 0.0 |