SciCode
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.
Gemini 3.1 Pro from Google currently leads the SciCode leaderboard with a score of 0.590 across 11 evaluated AI models.
Gemini 3.1 Pro leads with 59.0%, followed by 
Kimi K2.6 at 52.2% and Kimi K2.5 at 48.7%.
Progress Over Time
Interactive timeline showing model performance evolution on SciCode
SciCode Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Google | — | 1.0M | $2.50 / $15.00 | ||
| 2 | Moonshot AI | 1.0T | 262K | $0.95 / $4.00 | ||
| 3 | Moonshot AI | 1.0T | — | — | ||
| 4 | Moonshot AI | 1.0T | — | — | ||
| 5 | 120B | — | — | |||
| 6 |  Zhipu AI | 355B | — | — | ||
| 7 |  MiniMax | 230B | 1.0M | $0.30 / $1.20 | ||
| 8 |  Inception | — | 128K | $0.25 / $0.75 | ||
| 9 | Zhipu AI | 106B | — | — | ||
| 10 | MiniMax | 230B | 1.0M | $0.30 / $1.20 | ||
| 11 | 32B | 262K | $0.06 / $0.24 |
FAQ
Common questions about SciCode.
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