MMLU: Massive Multitask Language Understanding
Tests LLMs on undergraduate to professional level knowledge across 57 subjects with 15,908 multiple-choice questions. Top models now saturate at 86–90%; MMLU-Pro is the recommended harder successor. High benchmark score alone doesn't make a model the right pick — weigh it against pricing, API availability, and release date.
Models ranked
95
tracked on this benchmark
Score band
98.0 – 49.3
best → lowest tracked
Snapshot trend
+4.11
Jun 7 → Jul 3 · 1 models
Leaderboard
Tracked models ranked by Accuracy (higher is better).
How to read this benchmark
This benchmark scores models where higher is better. Scores are useful for directional filtering and shortlisting — not for universal quality ranking. Prefer benchmarks closest to your workload, then validate the linked model pages for pricing, context window, and provider availability.
Trust this score when
- There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
- The model list covers the same version family you can actually deploy today.
- Top candidates overlap with your required routing and feature requirements.
Be cautious when
- There is only one benchmark snapshot or the dataset appears stale.
- The benchmark metric direction is opposite of your decision objective.
- The score difference between options is narrow and likely within implementation variance.
FAQ
What does the MMLU benchmark measure?
Tests LLMs on undergraduate to professional level knowledge across 57 subjects with 15,908 multiple-choice questions. Top models now saturate at 86–90%; MMLU-Pro is the recommended harder successor. On this page it lists 95 tracked model variants where higher is better.
Is a higher Massive Multitask Language Understanding score always better?
For this benchmark, higher is better. A high score helps you shortlist, but confirm pricing, context window, and provider availability on each model page before committing — the top scorer is not always the right pick for your workload or budget.
How current is this Massive Multitask Language Understanding data?
This benchmark was last reviewed on Apr 15, 2026. The tracked score average moved +4.11 points across the last 3 snapshots.
Related benchmarks
Last reviewed: Apr 15, 2026