Benchmarks
326 sources · 1,256 models × 2,956 benchmarks · 154,484 scoresTests whether agents can combine clinical, multiomic and functional data to diagnose and manage rare disease. Agents start from a clinical presentation and must request what they need from an isolated filesystem, and rubric grading scores how often they reach the right diagnosis and management plan. Refusals, errors and unfinished runs count as failures. 35 evaluations, which benchmarks.bio excludes from its overall Capabilities score.
3rd strongest of 779 fitted benchmarks
Signal-to-noise +40.67
157th hardest of 779 fitted benchmarks
Capability needed ≳ 166.8
| # | Model | Setting | Score | Source |
|---|---|---|---|---|
| 1 | Gemini 4 Argon | not reported · pi | 43.8 | |
| 2 | GPT-6 Astra | not reported · pi | 33.3 | |
| 3 | GPT-6.1 Sol | not reported · pi | 27.6 | |
| 4 | GPT-6.1 Terra | not reported · pi | 25.7 | |
| 5 | GPT-5.6 Sol | not reported · pi | 13.3 | |
| 6 | Grok 4.6 | not reported · pi | 4.8 | |
| 7 | Gemini 3.8 Flash | not reported · pi | 2.9 | |
| 8 | Mistral Large 4 | not reported · pi | 1.9 | |
| 9 | GPT-5.6 Luna | not reported · pi | 0.9 | |
| 10 | DeepSeek V4.1 Flash | not reported · pi | 0.0 | |
| 11 | GLM-5.3 | not reported · pi | 0.0 | |
| 12 | GPT-6 Luna | not reported · pi | 0.0 | |
| 13 | Kimi K3 | not reported · pi | 0.0 | |
| 14 | Nemotron 3.5 Lightning 30B A3B (precision unspecified) | not reported · pi | 0.0 |