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.
Gemma 3n E4B Instructed from Google currently leads the OpenAI MMLU leaderboard with a score of 0.356 across 2 evaluated AI models.
Gemma 3n E4B Instructed leads with 35.6%, followed by Gemma 3n E2B Instructed at 22.3%.
Progress Over Time
Interactive timeline showing model performance evolution on OpenAI MMLU
OpenAI MMLU Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Google | 8B | — | — | ||
| 2 | Google | 8B | — | — |
FAQ
Common questions about OpenAI MMLU.
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