llmrun
Reasoning

Chess Puzzles Leaderboard

Chess Puzzles is an Epoch AI evaluation that asks models to find the winning move in tactical chess positions drawn from real games. Because each puzzle has one verifiable correct answer and no natural-language shortcut, it isolates concrete multi-step planning.

Source: epoch16 open models ranked+138 proprietaryData through Nov 2026

Open models ranked on Chess Puzzles

# shows rank among open models / rank overall (including proprietary).

#ModelScoreVRAM @ Q4
1 / 20DeepSeek V4.1 Flash · 763.2B
48.0%
~458 GB
2 / 26DeepSeek V4 Pro 0813 · 1650.5B
46.0%
~991 GB
3 / 27DeepSeek V4.1 Flash 1017 · 763.2B
46.0%
~458 GB
4 / 46GLM 5.3 · 753.3B
37.0%
~456 GB
5 / 48Kimi K3 · 2779.9B
37.0%
~1674 GB
6 / 65Mistral Large 4 1T A52B · 1000B
33.0%
~604 GB
7 / 66DeepSeek V4 Flash 0731 · 304.2B
32.0%
~183 GB
8 / 88GLM 5.2 · 753.3B
22.0%
~456 GB
9 / 94GLM 4.7 · 358.3B
21.0%
~216 GB
10 / 95GLM 5.3 Flash · 321.3B
21.0%
~195 GB
11 / 96Inkling · 952.4B
21.0%
~572 GB
12 / 99GLM 5.1 · 753.9B
20.0%
~457 GB
13 / 101Kimi K2.6 · 1026.9B
20.0%
~620 GB
14 / 104DeepSeek V4 Pro · 1598.8B
19.0%
~960 GB
15 / 109MiniMax M3 · 427.0B
17.0%
~257 GB
16 / 118Kimi K2.7 Code · 1026.9B
14.0%
~620 GB

Score vs model size

Which models give the most quality for their size — the ones worth running locally.

304B2.8Tmodel size (log scale) →48.0%14.0%DeepSeek V4.1 Flash 1017 · 763B · 46.0%DeepSeek V4 Pro 0813 · 1.7T · 46.0%Kimi K3 · 2.8T · 37.0%Mistral Large 4 1T A52B · 1T · 33.0%GLM 5.2 · 753B · 22.0%Inkling · 952B · 21.0%GLM 4.7 · 358B · 21.0%GLM 5.3 Flash · 321B · 21.0%Kimi K2.6 · 1T · 20.0%GLM 5.1 · 754B · 20.0%DeepSeek V4 Pro · 1.6T · 19.0%MiniMax M3 · 427B · 17.0%Kimi K2.7 Code · 1T · 14.0%DeepSeek V4 Flash 0731 · 304B · 32.0%DeepSeek V4 Flash 0731GLM 5.3 · 753B · 37.0%GLM 5.3DeepSeek V4.1 Flash · 763B · 48.0%DeepSeek V4.1 Flash
Each dot is a model. Up = higher score, left = smaller (easier to run locally). The dashed line marks the efficiency frontier — the best score you can get at each size or smaller.
  • DeepSeek V4 Flash 0731, 304B, score 32.0% — on the efficiency frontier (best score at its size or smaller).
  • GLM 5.3, 753B, score 37.0% — on the efficiency frontier (best score at its size or smaller).
  • DeepSeek V4.1 Flash, 763B, score 48.0% — on the efficiency frontier (best score at its size or smaller).

Chess Puzzles: frequently asked questions

What is the best open LLM on Chess Puzzles?
DeepSeek V4.1 Flash is the top open model on Chess Puzzles, scoring 48.0%. Among all models tested — including proprietary ones — it ranks #19. The top model overall is GPT 6 Astra Promax (OpenAI) at 76.0%.
Can open models match proprietary models on Chess Puzzles?
Not quite on Chess Puzzles: the strongest proprietary model (GPT 6 Astra Promax) scores 76.0%, ahead of the best open model (DeepSeek V4.1 Flash) at 48.0% — but you can run the open one yourself.

Scores aggregated from epoch. llmrun does not run this benchmark — see the source for methodology, or the about benchmarks for what it measures.