PFArena - Measurement-Free Multi-Mutant Ranking: leaderboard
Task T2 of AMix-Bio's PFArena protein-mutation benchmark (September 2026): given a protein and a pool of multi-point mutants with no measured data for that protein, rank the candidates by predicted fitness, stability or binding. Ground truth is deep mutational scanning data from ProteinGym, MaveDB, MegaScale, FLAb and other assays. Spearman correlation between the model's ranking and the measured scores (Random -0.02); higher is better. Prompted LLMs only.
Metric: Spearman. Source: huggingface.co. Saturation forecast: Around November 2027. 9 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Opus 5 | 0.28 | #20 |
| 2 | Gemini 4 Argon | 0.28 | #11 |
| 3 | GPT-6 Astra | 0.27 | #6 |
| 4 | GPT-6.1 Sol | 0.25 | #10 |
| 5 | Gemini 3.1 Pro (Preview) | 0.22 | #91 |
| 6 | DeepSeek V4 Pro | 0.22 | #181 |
| 7 | DeepSeek V4.1 Flash | 0.2 | #58 |
| 8 | Kimi K3 | 0.2 | #53 |
| 9 | GLM-5.2 | 0.16 | #137 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=pfarena-measurement-free-multi-mutant-ranking · How It Works · Data refreshed daily, snapshot 2026-11-12.