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legal 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 11, 2026

Models2
Model coverage2
MetricScore
EvidenceB

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  • FAQ

OpenAI MMLU Ranking

Higher score ranks better on this benchmark.

2 rows
Columns

Show columns

01GOGemma 3n E4B InstructedGoogle35.6%100.0%2CAug 11, 2026
02GOGemma 3n E2B InstructedGoogle22.3%0.0%2CAug 11, 2026

OpenAI MMLU Score Distribution

A closer view of the leading scores on this benchmark.

OpenAI MMLU

OpenAI MMLU Highlights

The leading models and scores on this benchmark.

Rank #1Gemma 3n E4B Instructed35.6%Rank #2Gemma 3n E2B Instructed22.3%

What is OpenAI MMLU?

What OpenAI MMLU measures and how its scores work.

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. This benchmark is not independently verified and has an evidence level of B.

Family
OpenAI MMLU
Modality
text
Primary category
legal
Score direction
higher
LLMBoard eligible
No
Evaluation key
openai-mmlu|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

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 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.