Calibration
Artificial Analysis Intelligence Index → HealthBench (raw)
HealthBench (raw) is estimated from Artificial Analysis Intelligence Index with a Michaelis–Menten + offset curve fitted on 7 models measured on both: y = 0.0000 + 2.0000·x / (1.19480 + x), R² = 0.53, cross-validated error 6.7 pp. It is used for 4 estimates.
| Estimated model | Artificial Analysis Intelligence Index | HealthBench (raw) | Source |
|---|---|---|---|
| Claude 4.1 Opus | 18.6% | 26.9% | estimated ± 6.7 pp, low confidence |
| o1-preview | 11.4% | 17.4% | estimated ± 6.7 pp, low confidence |
| o1-pro | 12.4% | 18.8% | estimated ± 6.7 pp, low confidence |
| o3-pro | 21.9% | 30.9% | estimated ± 6.7 pp, low confidence |