STEM
A comprehensive multimodal benchmark dataset with 448 skills and 1,073,146 questions spanning all STEM subjects (Science, Technology, Engineering, Mathematics), designed to test neural models' vision-language STEM skills based on K-12 curriculum. Unlike existing datasets that focus on expert-level ability, this dataset includes fundamental skills designed around educational standards.
Qwen2.5-Coder 7B Instruct from Alibaba Cloud / Qwen Team currently leads the STEM leaderboard with a score of 0.340 across 1 evaluated AI models.
Qwen2.5-Coder 7B Instruct leads with 34.0%.
Progress Over Time
Interactive timeline showing model performance evolution on STEM
STEM Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Alibaba Cloud / Qwen Team | 7B | — | — |
FAQ
Common questions about STEM.
More evaluations to explore
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