math benchmark
OpenAI MMLU
MMLU (Massive Multitask Language Understanding) is a comprehensive benchmark that measures a text model's multitask accuracy across 57 diverse academic and professional subjects. The test covers elementary mathematics, US history, computer science, law, morality, business ethics, clinical knowledge, and many other domains spanning STEM, humanities, social sciences, and professional fields. To attain high accuracy, models must possess extensive world knowledge and problem-solving ability.
Updated Aug 7, 2026
Published models2
Registry coverage2
MetricScore
EvidenceB
OpenAI MMLU leaderboard
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | GO | 35.6% | 100.0% | 2 | C | |
| 2 | GO | 22.3% | 0.0% | 2 | C |
Score distribution
Top published rows on the benchmark's original scale.
OpenAI MMLU highlights
The top published results on this benchmark's own scale.
What is OpenAI MMLU?
Definition and scoring fields from the benchmark registry.
MMLU (Massive Multitask Language Understanding) is a comprehensive benchmark that measures a text model's multitask accuracy across 57 diverse academic and professional subjects. The test covers elementary mathematics, US history, computer science, law, morality, business ethics, clinical knowledge, and many other domains spanning STEM, humanities, social sciences, and professional fields. To attain high accuracy, models must possess extensive world knowledge and problem-solving ability.
Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.
- Family
- OpenAI MMLU
- Modality
- text
- Primary category
- math
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- openai-mmlu|llm-stats-current
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
FAQ
Common questions about OpenAI MMLU.
Which model scores highest on OpenAI MMLU?
Gemma 3n E4B Instructed is currently ranked first with 35.6%.
What does OpenAI MMLU measure?
MMLU (Massive Multitask Language Understanding) is a comprehensive benchmark that measures a text model's multitask accuracy across 57 diverse academic and professional subjects. The test covers elementary mathematics, US history, computer science, law, morality, business ethics, clinical knowledge, and many other domains spanning STEM, humanities, social sciences, and professional fields. To attain high accuracy, models must possess extensive world knowledge and problem-solving ability.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 unique published model results are currently shown.
Does this benchmark affect the overall score?
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.