Chess Puzzles leaderboard: which LLMs score highest
Chess Puzzles (chess tactics puzzles) currently has scores for 124 models. The top score is 72.0% by GPT-6 Astra (max); the median model scores 13.0% and the lowest scores 0.0%.
| # | Model | Organisation | Chess Puzzles score | Cheapest input $/M | Source | Captured |
|---|---|---|---|---|---|---|
| 1 | GPT-6 Astra (max) | OpenAI | 72.0% | $10.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 2 | GPT-5.6 Sol (pro, max) | OpenAI | 64.0% | $2.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 3 | Gemini 3.8 Flash (high) | Google DeepMind | 61.0% | $0.750 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 4 | GPT-6.1 Sol (max) | OpenAI | 61.0% | $2.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 5 | GPT-5.4 Pro (xhigh) | OpenAI | 58.6% | $30.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 6 | GPT-5.6 Sol (max) | OpenAI | 55.0% | $2.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 7 | GPT-5.6 Terra (max) | OpenAI | 54.0% | $2.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 8 | GPT-5.2 (xhigh) | OpenAI | 49.0% | $1.75 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 9 | Claude Fable 5.1 (max) | Anthropic | 47.0% | $10.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 10 | DeepSeek V4 Pro 0813 (max) | DeepSeek | 47.0% | $0.660 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 11 | Gemini 3.7 Flash (high) | Google DeepMind | 47.0% | $0.750 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 12 | GPT-5.4 (xhigh) | OpenAI | 44.0% | $2.50 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 13 | Claude Opus 5 (max) | Anthropic | 42.0% | $5.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 14 | Claude Fable 5 (max) | Anthropic | 41.0% | $10.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 15 | GPT-5.6 Luna (max) | OpenAI | 40.0% | $0.200 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 16 | Qwen3.8 Max (0902) (xhigh) | Alibaba | 40.0% | $1.65 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 17 | Kimi K3 (max) | Moonshot | 39.0% | $1.29 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 18 | Grok 4.7 (xhigh) | xAI | 38.0% | $2.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 19 | Muse Spark 1.3 (max) | Meta AI | 38.0% | $1.25 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 20 | GPT-5 (high) | OpenAI | 37.0% | $1.25 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 21 | Grok 4.5 (high) | xAI | 36.0% | $2.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 22 | o3 (high) | OpenAI | 34.0% | $2.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 23 | DeepSeek V4 Flash 0731 (max) | DeepSeek | 33.0% | $0.015 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 24 | GPT-5.1 (high) | OpenAI | 32.0% | $1.25 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 25 | Gemini 3 Pro Preview | Google DeepMind | 31.0% | $2.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 26 | GPT-6 Luna (max) | OpenAI | 31.0% | $0.100 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 27 | Grok 4.6 (xhigh) | xAI | 31.0% | $1.25 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 28 | GPT-5 mini (high) | OpenAI | 30.0% | $0.250 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 29 | Qwen3.8 Max (xhigh) | Alibaba | 29.0% | $1.65 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 30 | grok-4-0709 | xAI | 28.0% | — | Epoch AI Benchmarking Hub | 2026-10-05 |
| 31 | GPT-5 nano (high) | OpenAI | 27.0% | $0.050 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 32 | Kimi K2.6 | Moonshot | 26.0% | $0.650 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 33 | o4-mini (high) | OpenAI | 26.0% | $1.00 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 34 | Qwen3.6 35B-A3B | Alibaba | 26.0% | $0.050 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 35 | grok-4.3 (high) | xAI | 25.0% | $1.25 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 36 | GPT-5.4 mini (xhigh) | OpenAI | 24.0% | $0.750 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 37 | grok-4.20-0309-reasoning | xAI | 24.0% | $1.25 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 38 | Qwen3.7 Plus | Alibaba | 24.0% | $0.282 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 39 | Qwen3.7 Flash | Alibaba | 23.0% | $0.030 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 40 | Qwen3.5 Plus | Alibaba | 22.0% | — | Epoch AI Benchmarking Hub | 2026-10-05 |
| 41 | Qwen3.6 27B | Alibaba | 22.0% | $0.150 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 42 | GLM-5.3 (max) | Z.ai (Zhipu AI) | 21.0% | $0.070 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 43 | Inkling (xhigh) | Thinking Machines | 21.0% | $0.950 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 44 | Kimi K2.7 Code | Moonshot | 21.0% | $0.671 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 45 | Qwen3.5 Flash | Alibaba | 21.0% | $0.065 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 46 | DeepSeek v4 Pro (max) | DeepSeek | 20.0% | $0.435 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 47 | gpt-oss-120b (high) | OpenAI | 20.0% | $0.030 | Epoch AI Benchmarking Hub | 2026-10-05 |
| 48 | Kimi K2 Thinking Turbo | Moonshot | 20.0% | — | Epoch AI Benchmarking Hub | 2026-10-05 |
| 49 | Qwen 3.6 Flash (2026-04-16) | Alibaba | 20.0% | — | Epoch AI Benchmarking Hub | 2026-10-05 |
| 50 | Qwen 3.6 Max (Preview) | Alibaba | 20.0% | — | Epoch AI Benchmarking Hub | 2026-10-05 |
Compare all benchmarks side by side on the live leaderboard →
Among the ten highest scorers, the cheapest listed API price belongs to DeepSeek V4 Pro 0813 (max) at $0.660 per million input tokens (score 47.0%).
What Chess Puzzles measures
Chess Puzzles measures chess tactics puzzles.
How to read these scores
Scores are percentages (higher is better): the share of questions or tasks the model completed correctly. Where a model is listed at several reasoning efforts, only its highest-effort row is shown. See the methodology for how rows are chosen.
Where the data comes from
Epoch AI Benchmarking Hub (CC BY 4.0). Scores were last captured 2026-10-05; the Captured column gives each row's date.