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MMMU-Pro (Standard) benchmark
AI model leaderboard for the MMMU-Pro (Standard) benchmark. Compare how large language models score on MMMU-Pro (Standard), see the full ranking, and understand what this AI benchmark measures. Magistral Medium 1.1 currently leads with 57.9. Standard split of MMMU-Pro — 10-option multiple-choice text+image questions across college-level disciplines.
Leaderboard
| # | Model | Organization | Score | Variant | Source |
|---|---|---|---|---|---|
| #1 | Magistral Medium 1.1 | Mistral AI | 57.9 | official ↗ | |
| #2 | Mistral Medium 3 | Mistral AI | 53.5 | cited-magistral | official ↗ |
| #3 | Magistral Small 1.1 | Mistral AI | 51.8 | official ↗ | |
| #4 | Mistral Small 3.1 | Mistral AI | 45.8 | cited-magistral | official ↗ |
Frequently asked questions about MMMU-Pro (Standard)
What is the MMMU-Pro (Standard) benchmark?
Standard split of MMMU-Pro — 10-option multiple-choice text+image questions across college-level disciplines.
How is the MMMU-Pro (Standard) benchmark scored?
MMMU-Pro (Standard) is scored using the accuracy metric, where a higher score is better. GenAIList aggregates reported scores from model providers and papers into a single ranked leaderboard.
Which AI model scores highest on MMMU-Pro (Standard)?
As of the latest reported scores on GenAIList, Magistral Medium 1.1 achieves the highest result on MMMU-Pro (Standard) with a score of 57.9.
Is a higher MMMU-Pro (Standard) score better?
Yes. On MMMU-Pro (Standard) a higher score indicates better performance, so models near the top of the leaderboard are the strongest.