MMLU PRO
About
Enhanced MMLU with 10-option questions (vs 4 in original), harder problems filtered through expert review, and reduced shortcuts. Maintains coverage of 57 academic subjects.Compare model scores alongside pricing, API availability, and release date — high benchmark score alone doesn't make a model the right pick.
How to read this benchmark
This benchmark uses a scoring system where higher is better. Scores are useful for directional filtering and model shortlisting, not for universal quality ranking.
Interpretation checklist: prefer benchmarks that are closest to your workload style, then validate against the linked model pages for pricing, context window, and provider availability.
Trust when:
- There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
- Model list covers the same version family you can actually deploy today.
- Top candidates overlap with your required routing and feature requirements.
Don't trust when:
- There is only one benchmark snapshot or the dataset appears stale.
- Benchmark metric direction is opposite of your decision objective.
- The score difference between options is narrow and likely within implementation variance.
Current modeled score band for tracked entries is roughly 91.8 – 88.4.
Window
Apr 29 to Jun 3
last 3 snapshots
Mean delta
-5.96
score points
Coverage
1
models in latest snapshot
Leaderboard preview (top 5)
- 1. Gemini 3 Pro91.8
- 2. Claude Opus 4.689.1
- 3. Claude Opus 4.588.9
- 4. Gemini 3 Flash88.6
- 5. Gemini 2.5 Flash88.4