Benchmarks
331 sources · 1,258 models × 2,980 benchmarks · 155,643 scoresTests whether agents can analyze real tissue microscopy images: locating cells and structures, quantifying staining and morphology, and tracking changes over time and after treatment. Each of the 49 evaluations pairs real image data with a specific analysis question and a verifiable answer, and refusals, errors and unfinished runs count as failures. benchmarks.bio excludes it from its overall Capabilities score.
24th strongest of 785 fitted benchmarks
Signal-to-noise +24.68
99th hardest of 785 fitted benchmarks
Capability needed ≳ 170.7
| # | Model | Setting | Score | Source |
|---|---|---|---|---|
| 1 | GPT-6.1 Terra | not reported · pi | 25.9 | |
| 2 | GPT-6.1 Sol | not reported · pi | 22.4 | |
| 3 | Gemini 4 Argon | not reported · pi | 21.8 | |
| 4 | GPT-6 Astra | not reported · pi | 19.7 | |
| 5 | Grok 4.6 | not reported · Grok Build | 4.1 | |
| 6 | Gemini 3.8 Flash | not reported · pi | 3.4 | |
| 7 | DeepSeek V4.1 Flash | not reported · pi | 2.7 | |
| 8 | GPT-5.6 Sol | not reported · pi | 2.0 | |
| 9 | Mistral Large 4 | not reported · pi | 2.0 | |
| 10 | GLM-5.3 | not reported · pi | 1.4 | |
| 11 | GPT-6 Luna | not reported · pi | 1.4 | |
| 12 | GPT-5.6 Luna | not reported · pi | 0.7 | |
| 13 | Kimi K3 | not reported · pi | 0.7 | |
| 14 | Nemotron 3.5 Lightning 30B A3B (precision unspecified) | not reported · pi | 0.0 |