# Toolathlon → JobBench

Calibration · https://benchgap.net/calibration/1520 · data retrieved 2026-10-29

JobBench is estimated from Toolathlon with a Michaelis–Menten curve fitted on 5 models measured on both: y = 2.0000·x / (2.25199 + x), R² = 0.82, cross-validated error 7.3 pp. It is used for 2 estimates.

| Estimated model | Toolathlon | JobBench | Source |
|---|---|---|---|
| [Step 3.7 Flash](https://benchgap.net/model/step-3-7-flash.md) | 49.5% | 36.0% | estimated ± 7.3 pp, low confidence |
| [MiniMax M2.7](https://benchgap.net/model/minimax-m2-7.md) | 46.3% | 34.1% | estimated ± 7.3 pp, low confidence |

## Fitted on

| Model | Toolathlon | JobBench |
|---|---|---|
| [Claude Opus 4.5](https://benchgap.net/model/claude-opus-4-5.md) | 43.5% | 32.3% |
| [GPT-5.4](https://benchgap.net/model/gpt-5-4.md) | 54.6% | 38.9% |
| [GPT-5.5](https://benchgap.net/model/gpt-5-5.md) | 55.6% | 42.7% |
| [Kimi K2.5](https://benchgap.net/model/kimi-k2-5.md) | 27.8% | 8.7% |
| [Muse Spark 1.1](https://benchgap.net/model/muse-spark-1-1.md) | 75.6% | 54.7% |