AA SciCode: leaderboard
Artificial Analysis independent evaluation of SciCode: 338 sub-tasks from 80 real lab problems across 16 scientific disciplines.
Metric: Score. Source: epoch.ai. Status: years away from saturation. 159 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback) | 62.04 |
| 2 | Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) | 60.19 |
| 3 | Claude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback) | 60.07 |
| 4 | Gemini 3.1 Pro (Preview) | 58.91 |
| 5 | Kimi K3 | 58.68 |
| 6 | Kimi K3 (Max) | 58.68 |
| 7 | Muse Spark 1.1 (xHigh) | 58.22 |
| 8 | Gemini 3.7 Flash (Medium) | 57.87 |
| 9 | Claude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback) | 57.64 |
| 10 | GPT-5.6 Sol (High) | 56.94 |
| 11 | Gemini 3.7 Flash (High) | 56.83 |
| 12 | GPT-5.4 (xHigh) | 56.6 |
| 13 | GLM-5.3 (Max) | 56.48 |
| 14 | GPT-5.6 Sol (Medium) | 56.48 |
| 15 | Muse Spark 1.2 (xHigh) | 56.37 |
Interactive version: theaggregate.ai/benchmark?slug=aa-scicode · How It Works · Data refreshed daily, snapshot 2026-09-05.