DSGym - DSBio: leaderboard
DSBio, 90 expert-derived bioinformatics analysis tasks built from peer-reviewed papers and public single-cell, genetics and spatial-transcriptomics datasets, run by DSGym's default CodeAct agent (Nie et al., 2026) in an isolated Jupyter container at temperature 0 with all tools disabled. Exact-match accuracy in percent; higher is better.
Metric: Exact-Match Accuracy (%). Source: arxiv.org. Saturation forecast: Around February 2027. 13 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Kimi K2 0905 | 43.33 | #555 |
| 2 | Claude Sonnet 4.5 | 42.22 | #244 |
| 3 | DeepSeek V3.1 | 40 | #500 |
| 4 | GPT-5.1 (High) | 38.89 | #225 (GPT-5.1) |
| 5 | GPT-5.1 (Non-reasoning) | 37.78 | #225 (GPT-5.1) |
| 6 | Claude Sonnet 4 | 36.67 | #397 |
| 7 | GPT-4o (2024-08-06) | 33.33 | #731 |
| 8 | GPT-5 (Medium) | 32.22 | #163 (GPT-5) |
| 9 | GPT-OSS-120B | 25.56 | #699 |
| 10 | Qwen 3 4B Instruct | 6.67 | #1660 |
| 11 | Qwen 2.5 7B Instruct | 4.44 | #2583 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=dsgym-dsbio · How It Works · Data refreshed daily, snapshot 2026-11-12.