# SWE-bench Pro → PostTrainBench v1.1

Calibration · https://benchgap.net/calibration/1469 · data retrieved 2026-10-29

PostTrainBench v1.1 is estimated from SWE-bench Pro with a inverse Michaelis–Menten curve fitted on 9 models measured on both: y = 0.59838·(x − 0.0000) / (0.0000 + 2.0000 − x), R² = 0.75, cross-validated error 4.7 pp. It is used for 33 estimates.

| Estimated model | SWE-bench Pro | PostTrainBench v1.1 | Source |
|---|---|---|---|
| [Claude Mythos 5](https://benchgap.net/model/claude-mythos-5.md) | 80.3% | 40.1% | estimated ± 4.7 pp, high confidence |
| [Sakana Fugu-Ultra](https://benchgap.net/model/sakana-fugu-ultra.md) | 73.7% | 34.9% | estimated ± 4.7 pp, high confidence |
| [Claude Opus 4.7 (Adaptive)](https://benchgap.net/model/claude-opus-4-7-adaptive.md) | 64.3% | 28.4% | estimated ± 4.7 pp, high confidence |
| [Ornith-1.0-397B](https://benchgap.net/model/ornith-1-0-397b.md) | 62.2% | 27.0% | estimated ± 4.7 pp, high confidence |
| [Sage-A1.5](https://benchgap.net/model/sage-a1-5.md) | 61.2% | 26.4% | estimated ± 4.7 pp, high confidence |
| [dots3-note Preview](https://benchgap.net/model/dots3-note-preview.md) | 61.0% | 26.3% | estimated ± 4.7 pp, high confidence |
| [Atria Dawn Preview](https://benchgap.net/model/atria-dawn-preview.md) | 59.6% | 25.4% | estimated ± 4.7 pp, high confidence |
| [Ornith-1.5-35B-A3B](https://benchgap.net/model/ornith-1-5-35b-a3b.md) | 59.6% | 25.4% | estimated ± 4.7 pp, high confidence |
| [Sakana Fugu](https://benchgap.net/model/sakana-fugu.md) | 59.0% | 25.0% | estimated ± 4.7 pp, high confidence |
| [Qwen3.7 Plus](https://benchgap.net/model/qwen3-7-plus.md) | 57.6% | 24.2% | estimated ± 4.7 pp, medium confidence |
| [Claude Opus 4.5](https://benchgap.net/model/claude-opus-4-5.md) | 57.1% | 23.9% | estimated ± 4.7 pp, medium confidence |
| [Step 3.7 Flash](https://benchgap.net/model/step-3-7-flash.md) | 56.3% | 23.4% | estimated ± 4.7 pp, medium confidence |
| [GPT-5.2](https://benchgap.net/model/gpt-5-2.md) | 55.6% | 23.0% | estimated ± 4.7 pp, medium confidence |
| [GLM-5](https://benchgap.net/model/glm-5.md) | 55.1% | 22.8% | estimated ± 4.7 pp, medium confidence |
| [Spark-X2.6-4B](https://benchgap.net/model/spark-x2-6-4b.md) | 54.3% | 22.3% | estimated ± 4.7 pp, medium confidence |
| [Claude Opus 4.6](https://benchgap.net/model/claude-opus-4-6.md) | 53.4% | 21.8% | estimated ± 4.7 pp, medium confidence |
| [MAI-Thinking-1](https://benchgap.net/model/mai-thinking-1.md) | 52.8% | 21.5% | estimated ± 4.7 pp, medium confidence |
| [Nemotron 3.5 Super VL 120B A12B](https://benchgap.net/model/nemotron-3-5-super-vl-120b-a12b.md) | 51.8% | 20.9% | estimated ± 4.7 pp, medium confidence |
| [Nemotron 3.5 Super VL 120B A12B NVFP4](https://benchgap.net/model/nemotron-3-5-super-vl-120b-a12b-nvfp4.md) | 51.3% | 20.6% | estimated ± 4.7 pp, medium confidence |
| [Muse Glimmer 30B](https://benchgap.net/model/muse-glimmer-30b.md) | 51.2% | 20.6% | estimated ± 4.7 pp, medium confidence |
| [Qwen3.5 397B](https://benchgap.net/model/qwen3-5-397b.md) | 50.9% | 20.4% | estimated ± 4.7 pp, medium confidence |
| [Kimi K2.5](https://benchgap.net/model/kimi-k2-5.md) | 50.7% | 20.3% | estimated ± 4.7 pp, medium confidence |
| [Ornith-1.0-35B](https://benchgap.net/model/ornith-1-0-35b.md) | 50.4% | 20.2% | estimated ± 4.7 pp, medium confidence |
| [Qwen3.6-35B-A3B](https://benchgap.net/model/qwen3-6-35b-a3b.md) | 49.5% | 19.7% | estimated ± 4.7 pp, medium confidence |
| [Laguna M.1](https://benchgap.net/model/laguna-m-1.md) | 49.2% | 19.5% | estimated ± 4.7 pp, medium confidence |
| [Laguna XS 2.1](https://benchgap.net/model/laguna-xs-2-1.md) | 47.6% | 18.7% | estimated ± 4.7 pp, medium confidence |
| [Ornith-1.5-9B](https://benchgap.net/model/ornith-1-5-9b.md) | 47.5% | 18.6% | estimated ± 4.7 pp, medium confidence |
| [Laguna XS.2](https://benchgap.net/model/laguna-xs-2.md) | 46.3% | 18.0% | estimated ± 4.7 pp, medium confidence |
| [Ornith-1.0-9B](https://benchgap.net/model/ornith-1-0-9b.md) | 42.9% | 16.3% | estimated ± 4.7 pp, medium confidence |
| [LongCat-Flash-Lite-Sparse](https://benchgap.net/model/longcat-flash-lite-sparse.md) | 40.6% | 15.3% | estimated ± 4.7 pp, medium confidence |
| [Granite 4.2 30B](https://benchgap.net/model/granite-4-2-30b.md) | 33.3% | 11.9% | estimated ± 4.7 pp, medium confidence |
| [LLaDA2.2-flash](https://benchgap.net/model/llada2-2-flash.md) | 30.1% | 10.6% | estimated ± 4.7 pp, medium confidence |
| [Mellum2.1-12B-A2.5B-Thinking](https://benchgap.net/model/mellum2-1-12b-a2-5b-thinking.md) | 28.0% | 9.7% | estimated ± 4.7 pp, medium confidence |

## Fitted on

| Model | SWE-bench Pro | PostTrainBench v1.1 |
|---|---|---|
| [Claude Fable 5.1](https://benchgap.net/model/claude-fable-5-1.md) | 81.2% | 40.2% |
| [Claude Opus 4.8](https://benchgap.net/model/claude-opus-4-8.md) | 69.2% | 32.9% |
| [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 79.2% | 35.0% |
| [Claude Opus 5.5](https://benchgap.net/model/claude-opus-5-5.md) | 89.9% | 49.3% |
| [GLM-5.2](https://benchgap.net/model/glm-5-2.md) | 62.1% | 31.7% |
| [GPT-5.4](https://benchgap.net/model/gpt-5-4.md) | 57.7% | 19.0% |
| [GPT-5.5](https://benchgap.net/model/gpt-5-5.md) | 58.6% | 27.2% |
| [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 64.6% | 36.2% |
| [Grok 4.5](https://benchgap.net/model/grok-4-5.md) | 64.7% | 23.5% |