SciCode
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About
SciCode is a research coding benchmark curated by scientists that challenges language models to code solutions for scientific problems. It contains 338 subproblems decomposed from 80 challenging main problems across 16 natural science sub-fields including mathematics, physics, chemistry, biology, and materials science. Problems require knowledge recall, reasoning, and code synthesis skills.
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Evaluation Stats
Total Models2
Organizations1
Verified Results0
Self-Reported2
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Benchmark Details
Max Score1
Language
en
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Performance Overview
Score distribution and top performers
Score Distribution
2 models
Top Score
41.7%
Average Score
39.5%
High Performers (80%+)
0Top Organizations
#1Zhipu AI
2 models
39.5%
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Leaderboard
2 models ranked by performance on SciCode
| License | Links | ||||
|---|---|---|---|---|---|
| Jul 28, 2025 | MIT | 41.7% | |||
| Jul 28, 2025 | MIT | 37.3% |