ProtStructQA: leaderboard
Protein-language systems are often evaluated by whether they generate plausible biological text, but a structural question has a sharper semantics: it denotes a measurement in a 3D coordinate system. We introduce ProtStructQA, an executable benchmark for protein structural question answering in which each natural-language question is generated from a hidden typed domain-specific language (DSL) pro
Metric: Standard (self-reported). Source: benchmarklist.com. Saturation forecast: Estimated already saturated. 4 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 3 4B | 70.33 | #829 |
| 2 | Qwen 3 8B | 68.05 | #674 |
| 3 | Qwen 3 1.7B | 28.69 | #1196 |
| 4 | Qwen 3 0.6B | 21.15 | #1459 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=protstructqa · How It Works · Data refreshed daily, snapshot 2026-10-20.