Calibration
BrowseComp → AA Agentic Index
AA Agentic Index is estimated from BrowseComp with a inverse Michaelis–Menten curve fitted on 21 models measured on both: y = 0.19446·(x − 0.0000) / (0.0000 + 1.2581 − x), R² = 0.72, cross-validated error 8.2 pp. It is used for 6 estimates.
| Estimated model | BrowseComp | AA Agentic Index | Source |
|---|---|---|---|
| Agents-A1 | 75.5% | 29.2% | estimated ± 8.2 pp, medium confidence |
| Agents-A1-4B | 66.8% | 22.0% | estimated ± 8.2 pp, medium confidence |
| GPT-5.4 Pro | 89.3% | 47.6% | estimated ± 8.2 pp, medium confidence |
| GPT-5.5 Pro | 90.1% | 49.1% | estimated ± 8.2 pp, medium confidence |
| LongCat-Flash-Lite-Sparse | 48.6% | 12.2% | estimated ± 8.2 pp, medium confidence |
| Beam | 77.4% | 31.1% | estimated ± 8.2 pp, medium confidence |