# SWE-Marathon → DeepSWE

Calibration · https://benchgap.net/calibration/1489 · data retrieved 2026-10-29

DeepSWE is estimated from SWE-Marathon with a offset logistic curve fitted on 7 models measured on both: y = 0.6441 + (0.7526 − 0.6441) / (1 + exp(−71.43·(x − 0.4378))), R² = 0.63, cross-validated error 5.7 pp. It is used for 0 estimates.

## Fitted on

| Model | SWE-Marathon | DeepSWE |
|---|---|---|
| [GLM-5.3](https://benchgap.net/model/glm-5-3.md) | 42.5% | 66.9% |
| [Hy4 preview](https://benchgap.net/model/hy4-preview.md) | 31.9% | 64.3% |
| [Kimi K3.1 Pro](https://benchgap.net/model/kimi-3-1-pro.md) | 51.7% | 75.5% |
| [Kimi K3](https://benchgap.net/model/kimi-k3.md) | 42.0% | 67.5% |
| [Muse Wonder](https://benchgap.net/model/muse-wonder.md) | 53.1% | 78.8% |
| [Muse Wonder Full](https://benchgap.net/model/muse-wonder-full.md) | 57.5% | 79.0% |
| [Step 5 Preview](https://benchgap.net/model/step-5-preview.md) | 72.7% | 67.7% |