llmrun
Reasoning

LiveBench 2026 Reasoning Leaderboard

LiveBench 2026 Reasoning measures logical, multi-step problem solving. It belongs to the 2026 LiveBench release (first snapshot September 2, 2026), a redesigned LiveBench in which each of seven categories is scored by a single task and questions are refreshed to limit training-set contamination. It is a different test from the original LiveBench boards, so the scores are not comparable.

Source: livebench15 open models ranked+33 proprietaryData through Sep 2026

Open models ranked on LiveBench 2026 Reasoning

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

#ModelScoreVRAM @ Q4
1 / 9Kimi K3 · 2779.9B
90.7
~1674 GB
2 / 25DeepSeek V4.1 Flash · 763.2B
86.7
~458 GB
3 / 27Smaug Flash · 304.2B
86.2
~609 GB
4 / 28GLM 5.3 · 753.3B
85.8
~456 GB
5 / 30DeepSeek V4 Flash Vision Exp · 304.6B
85.4
~183 GB
6 / 38Qwen3.8 27B · 27.8B
80.0
~17 GB
7 / 39MiMo V2.6 Pro RL · 1020B
79.6
~613 GB
8 / 40NVIDIA Nemotron 3.5 Super VL 120B A12B BF16 · 124.5B
78.8
~82 GB
9 / 41Inkling · 952.4B
78.3
~572 GB
10 / 42GLM 5.3 Flash · 321.3B
77.6
~195 GB
11 / 43NVIDIA Nemotron 3 Ultra 550B A55B BF16 · 560.5B
74.7
~370 GB
12 / 44MiniMax M3 · 427.0B
74.5
~257 GB
13 / 45Muse Spark Open 816B A42B · 822.0B
73.7
~543 GB
14 / 46Gemma 4 31B IT · 31.3B
68.3
~20 GB
15 / 48NVIDIA Nemotron 3.5 Lightning 30B A3B BF16 · 31.6B
42.9
~19 GB

Score vs model size

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

100B1Tmodel size (log scale) →90.742.9GLM 5.3 · 753B · 85.8DeepSeek V4 Flash Vision Exp · 305B · 85.4MiMo V2.6 Pro RL · 1T · 79.6NVIDIA Nemotron 3.5 Super VL 120B A12B BF16 · 124B · 78.8Inkling · 952B · 78.3GLM 5.3 Flash · 321B · 77.6NVIDIA Nemotron 3 Ultra 550B A55B BF16 · 561B · 74.7MiniMax M3 · 427B · 74.5Muse Spark Open 816B A42B · 822B · 73.7Gemma 4 31B IT · 31B · 68.3NVIDIA Nemotron 3.5 Lightning 30B A3B BF16 · 32B · 42.9Qwen3.8 27B · 28B · 80.0Qwen3.8 27BSmaug Flash · 304B · 86.2Smaug FlashDeepSeek V4.1 Flash · 763B · 86.7DeepSeek V4.1 FlashKimi K3 · 2.8T · 90.7Kimi K3
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.
  • Qwen3.8 27B, 28B, score 80.0 — on the efficiency frontier (best score at its size or smaller).
  • Smaug Flash, 304B, score 86.2 — on the efficiency frontier (best score at its size or smaller).
  • DeepSeek V4.1 Flash, 763B, score 86.7 — on the efficiency frontier (best score at its size or smaller).
  • Kimi K3, 2.8T, score 90.7 — on the efficiency frontier (best score at its size or smaller).

LiveBench 2026 Reasoning: frequently asked questions

What is the best open LLM on LiveBench 2026 Reasoning?
Kimi K3 is the top open model on LiveBench 2026 Reasoning, scoring 90.7. Among all models tested — including proprietary ones — it ranks #9. The top model overall is Gemini 4 Argon (Google) at 95.1.
What's the best LiveBench 2026 Reasoning model you can run on a 24 GB GPU?
Qwen3.8 27B is the highest-scoring open model that fits in 24 GB at 4-bit quantization (~17 GB), scoring 80.0 on LiveBench 2026 Reasoning.
Can open models match proprietary models on LiveBench 2026 Reasoning?
Not quite on LiveBench 2026 Reasoning: the strongest proprietary model (Gemini 4 Argon) scores 95.1, ahead of the best open model (Kimi K3) at 90.7 — 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.