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Reasoning

LiveBench Reasoning Leaderboard

LiveBench Reasoning measures logical, multi-step reasoning using contamination-free questions that are refreshed regularly, so models cannot have trained on the test set.

Source: livebench8 open models ranked+29 proprietaryData through Jun 2026

Open modelsAll models

Open models ranked on LiveBench Reasoning

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

#ModelScore
1 / 22Kimi K2.7 Code · 1058.6B
82.8
2 / 23DeepSeek V4 Pro · 861.6B
82.7
3 / 27Kimi K2.6 · 1058.6B
79.4
4 / 28GLM 5.2 · 753.3B
78.6
5 / 29Inkling · 952.4B
78.3
6 / 33MiniMax M3 · 427.0B
74.5
7 / 36DeepSeek V4 Flash · 158.1B
70.6
8 / 37Qwen3.6 27B · 27.8B
70.3

Score vs model size

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

100B1Tmodel size (log scale) →82.870.3Kimi K2.6 · 1.1T · 79.4Inkling · 952B · 78.3Qwen3.6 27B · 28B · 70.3Qwen3.6 27BDeepSeek V4 Flash · 158B · 70.6DeepSeek V4 FlashMiniMax M3 · 427B · 74.5MiniMax M3GLM 5.2 · 753B · 78.6GLM 5.2DeepSeek V4 Pro · 862B · 82.7DeepSeek V4 ProKimi K2.7 Code · 1.1T · 82.8Kimi K2.7 Code
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.
  • Qwen3.6 27B, 28B, score 70.3 — on the efficiency frontier (best score at its size or smaller).
  • DeepSeek V4 Flash, 158B, score 70.6 — on the efficiency frontier (best score at its size or smaller).
  • MiniMax M3, 427B, score 74.5 — on the efficiency frontier (best score at its size or smaller).
  • GLM 5.2, 753B, score 78.6 — on the efficiency frontier (best score at its size or smaller).
  • DeepSeek V4 Pro, 862B, score 82.7 — on the efficiency frontier (best score at its size or smaller).
  • Kimi K2.7 Code, 1.1T, score 82.8 — on the efficiency frontier (best score at its size or smaller).

LiveBench Reasoning: frequently asked questions

What is the best open LLM on LiveBench Reasoning?
Kimi K2.7 Code is the top open model on LiveBench Reasoning, scoring 82.8. Among all models tested — including proprietary ones — it ranks #22. The top model overall is GPT 5.6 Sol Max (OpenAI) at 91.7.
What's the best LiveBench Reasoning model you can run on a 24 GB GPU?
Qwen3.6 27B is the highest-scoring open model that fits in 24 GB at 4-bit quantization (about 15 GB), scoring 70.3 on LiveBench Reasoning.
Can open models match proprietary models on LiveBench Reasoning?
Not quite on LiveBench Reasoning: the strongest proprietary model (GPT 5.6 Sol Max) scores 91.7, ahead of the best open model (Kimi K2.7 Code) at 82.8 — but you can run the open one yourself.

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