SciCode
A scientist-curated benchmark that evaluates language models on realistic scientific research coding problems, comprising 338 subproblems decomposed from 80 challenging main problems across 16 natural-science subfields (physics, math, chemistry, biology, materials science).
What this benchmark measures
A scientist-curated benchmark that evaluates language models on realistic scientific research coding problems, comprising 338 subproblems decomposed from 80 challenging main problems across 16 natural-science subfields (physics, math, chemistry, biology, materials science).
Rows on this page are sourced from public benchmark artifacts, leaderboard exports, or source-linked model reports. Each row keeps benchmark version, source model name, and available run details attached to the score.
The metric shown here is accuracy. It should be interpreted within SciCode, not compared as part of a site-wide ranking.