Epoch AI - Scicode: leaderboard

SciCode turns 80 research coding problems from the natural sciences into subproblems, each solved by a Python function that must pass the benchmark's test cases. Epoch AI does not run it; this board republishes the subproblem accuracy measured by Artificial Analysis, the share of subproblems whose code passes, where higher is better. Source: artificialanalysis.ai/evaluations/scicode.

Metric: Score. Source: epoch.ai. Saturation forecast: Around 2028. 221 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 4 Argon (High)61.81#8 (Gemini 4 Argon)
2MiMo-V2.6-Pro60.88#42
3Muse Wonder (Max)60.3#15 (Muse Wonder)
4Gemini 3.7 Flash (Medium)59.84#23 (Gemini 3.7 Flash)
5Muse Spark 1.3 (xHigh)59.72#24 (Muse Spark 1.3)
6Kimi K3 (Max)59.49#30 (Kimi K3)
7GLM-5.3 (Max)59.03#39 (GLM-5.3)
8Step 5 Preview58.91#44
9Muse Spark 1.3 (Max)58.8#24 (Muse Spark 1.3)
10Muse Spark 1.1 (xHigh)58.8#52 (Muse Spark 1.1)
11Gemini 3.1 Pro (Preview)58.68#58
12Kimi K358.68#30
13Muse Spark Open (xHigh)58.45#54 (Muse Spark Open)
14GPT-5.6 Sol (High)57.75#19 (GPT-5.6 Sol)
15Grok 4.7 (High)57.75#25 (Grok 4.7)

No result here: #3 Claude Opus 5.5, #9 Claude Fable 5.1, #10 Muse Wonder Full.

Interactive version: theaggregate.ai/benchmark?slug=epoch-ai-scicode · How It Works · Data refreshed daily, snapshot 2026-10-20.