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
84%
DeepSeek R1
Average Score
46.9%
Across 21 models
Models Tested
21
Metric: accuracy
Human Baseline
—
Range: 0%–100%
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.
DeepSeek R1 currently holds the top score on the MMLU-Pro benchmark. See our full rankings table above for the complete leaderboard with 21 models.
We update benchmark data from multiple sources including HuggingFace Open LLM Leaderboard 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.