Math

LiveBench Math Leaderboard

LiveBench Math measures mathematical problem-solving on contamination-free, regularly-refreshed questions, including competition-style problems.

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

All models ranked on LiveBench Math

Proprietary / closed models are shown dimmed — you can't run them locally, but they show where the open field stands.

#ModelScore
1GPT 5.6 Sol Max · proprietary
96.2
2Claude Fable 5 Max · proprietary
96.0
3GPT 5.5 · proprietary
95.9
4Claude Fable 5 · proprietary
95.7
5GPT 5.6 Sol · proprietary
95.5
6Claude Opus 4.8 · proprietary
95.3
7GPT 5.6 Terra Max · proprietary
94.9
8GPT 5.4 · proprietary
94.2
9GPT 5.2 · proprietary
93.2
10Claude Sonnet 5 · proprietary
92.9
11Claude Opus 4.7 · proprietary
92.8
12Gemini 3.1 Pro · proprietary
91.0
13GPT 5.4 Nano · proprietary
91.0
14Grok 4.5 · proprietary
90.8
15DeepSeek V4 Pro · 861.6B
90.7
16Claude Opus 4.5 · proprietary
90.4
17GLM 5.2 · 753.3B
89.8
18GPT 5.6 Terra · proprietary
89.5
19Claude Opus 4.6 · proprietary
89.3
20GPT 5.2 Codex · proprietary
88.8
21Inkling · 952.4B
88.4
22Gemini 3.5 Flash · proprietary
88.2
23GPT 5.6 Luna Max · proprietary
87.2
24Muse Spark 1.1 · proprietary
87.1
25Claude Sonnet 4.6 · proprietary
87.0
26GPT 5.6 Luna · proprietary
86.3
27Qwen3.7 Max · proprietary
85.3
28Kimi K3 · proprietary
84.4
29Grok 4.3 · proprietary
84.3
30Kimi K2.6 · 1058.6B
84.3
31Qwen3.6 Plus · proprietary
83.7
32Qwen3.6 27B · 27.8B
79.9
33DeepSeek V4 Flash · 158.1B
79.7
34Kimi K2.7 Code · 1058.6B
79.6
35GPT 5.4 Mini · proprietary
78.5
36Grok Build 0.1 · proprietary
78.4
37MiniMax M3 · 427.0B
77.0

Score vs model size

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

100B1Tmodel size (log scale) →90.777.0Inkling · 952B · 88.4Kimi K2.6 · 1.1T · 84.3DeepSeek V4 Flash · 158B · 79.7Kimi K2.7 Code · 1.1T · 79.6MiniMax M3 · 427B · 77.0Qwen3.6 27B · 28B · 79.9Qwen3.6 27BGLM 5.2 · 753B · 89.8GLM 5.2DeepSeek V4 Pro · 862B · 90.7DeepSeek V4 Pro
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 79.9 — on the efficiency frontier (best score at its size or smaller).
  • GLM 5.2, 753B, score 89.8 — on the efficiency frontier (best score at its size or smaller).
  • DeepSeek V4 Pro, 862B, score 90.7 — on the efficiency frontier (best score at its size or smaller).

LiveBench Math: frequently asked questions

What is the best open LLM on LiveBench Math?
DeepSeek V4 Pro is the top open model on LiveBench Math, scoring 90.7. Among all models tested — including proprietary ones — it ranks #15. The top model overall is GPT 5.6 Sol Max (OpenAI) at 96.2.
What's the best LiveBench Math 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 79.9 on LiveBench Math.
Can open models match proprietary models on LiveBench Math?
Not quite on LiveBench Math: the strongest proprietary model (GPT 5.6 Sol Max) scores 96.2, ahead of the best open model (DeepSeek V4 Pro) 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.