MMLU-STEM
STEM-focused subset of the Massive Multitask Language Understanding benchmark, evaluating language models on science, technology, engineering, and mathematics topics including physics, chemistry, mathematics, and other technical subjects.
Qwen2.5 32B Instruct from Alibaba Cloud / Qwen Team currently leads the MMLU-STEM leaderboard with a score of 0.809 across 2 evaluated AI models.
Qwen2.5 32B Instruct leads with 80.9%, followed by Qwen2.5 14B Instruct at 76.4%.
Progress Over Time
Interactive timeline showing model performance evolution on MMLU-STEM
MMLU-STEM Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Alibaba Cloud / Qwen Team | 33B | — | — | ||
| 2 | Alibaba Cloud / Qwen Team | 15B | — | — |
FAQ
Common questions about MMLU-STEM.
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