Harder version of MMLU with reasoning-focused questions and 10 answer choices instead of 4. Contains 12,000+ questions across 14 domains.
Why it matters: Better at differentiating top models since scores are 16-33% lower than standard MMLU. Tests reasoning in addition to knowledge.
Top Model
91.2%
Gemini 3.1 Pro
Average Score
71.8%
Across 81 models
Models Tested
81
Metric: accuracy
Human Baseline
-
Score Range: 0%–100%
MMLU-Pro Scores - Top 25 Models
Ranked by MMLU-Pro score (%)
All models with a reported MMLU-Pro score, ranked by highest accuracy.
MMLU-Pro is a standardized evaluation that measures AI model performance on specific tasks. It provides comparable scores across different models, helping developers choose the right model for their needs.
Gemini 3.1 Pro currently holds the top score on the MMLU-Pro benchmark. See our full rankings table above for the complete leaderboard with 81 models.
We update benchmark data from multiple sources including HuggingFace open-source model leaderboards and LMArena. Scores are refreshed regularly as new evaluations are published and new models are released.
No. While MMLU-Pro is an important indicator, real-world performance depends on many factors including pricing, latency, context window, and specific task requirements. We recommend using our composite score which weighs multiple benchmarks and practical factors.