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Benchmarks · knowledge

MMLU-Pro

MMLU-Pro: broad knowledge multiple choice; accuracy.

58 models · 72 results · data as of 2026-10-29 · artificialanalysis.ai ↗

Leaderboard

Chart settings
58 of 58 selected
Opus 4.5 none

All results

72 rows
#ModelEffortMMLU-Pro
1Opus 4.5none88.9%
2MiniMax M2.187.5%
3GPT-5.2xhigh87.4%
4GPT-5high87.1%
5GPT-5.1high87.0%
6GPT-5medium86.7%
7Grok 486.6%
8GPT-5 Codexhigh86.5%
9Gemini 2.5 Pro86.2%
10GPT-5.1 Codexhigh86.0%
11GPT-5low86.0%
12GPT-5.2medium85.9%
13GLM 4.785.6%
14o385.3%
15Qwen 3 Maxnone84.1%
16o184.1%
17GPT-5 Minihigh83.7%
18DeepSeek V3.2none83.7%
19GLM 4.583.5%
20DeepSeek V3.1none83.3%
21o4 minihigh83.2%
22GPT-5 Minimedium82.8%
23Kimi K2none82.4%
24MiniMax M282.0%
25GPT-5.1 Codex Minihigh82.0%
26GLM 4.5 Air81.5%
27GPT-5.2none81.4%
28Gemini 2.5 Flashnone80.9%
29Llama 4 Mavericknone80.9%
30gpt-oss-120bhigh80.8%