# SWE-bench Pro → CursorBench 4.0

Calibration · https://benchgap.net/calibration/1460 · data retrieved 2026-10-29

CursorBench 4.0 is estimated from SWE-bench Pro with a linear curve fitted on 8 models measured on both: y = 0.7664·x + -0.1050, R² = 0.89, cross-validated error 3.6 pp. It is used for 35 estimates.

| Estimated model | SWE-bench Pro | CursorBench 4.0 | Source |
|---|---|---|---|
| [Claude Mythos 5](https://benchgap.net/model/claude-mythos-5.md) | 80.3% | 51.0% | estimated ± 3.6 pp, high confidence |
| [Sakana Fugu-Ultra](https://benchgap.net/model/sakana-fugu-ultra.md) | 73.7% | 46.0% | estimated ± 3.6 pp, high confidence |
| [Beam 1.0 501B-A23B FP8](https://benchgap.net/model/reflection-beam-fp8.md) | 65.9% | 40.0% | estimated ± 3.6 pp, high confidence |
| [Hy4 preview](https://benchgap.net/model/hy4-preview.md) | 65.7% | 39.8% | estimated ± 3.6 pp, high confidence |
| [Beam 1.0 501B-A23B NVFP4](https://benchgap.net/model/reflection-beam-nvfp4.md) | 65.6% | 39.8% | estimated ± 3.6 pp, high confidence |
| [Ornith-1.5-397B](https://benchgap.net/model/ornith-1-5-397b.md) | 65.1% | 39.4% | estimated ± 3.6 pp, high confidence |
| [Qwen3.8-Omni-Flash](https://benchgap.net/model/qwen3-8-omni-flash.md) | 63.3% | 38.0% | estimated ± 3.6 pp, high confidence |
| [Ornith-1.0-397B](https://benchgap.net/model/ornith-1-0-397b.md) | 62.2% | 37.2% | estimated ± 3.6 pp, medium confidence |
| [Sage-A1.5](https://benchgap.net/model/sage-a1-5.md) | 61.2% | 36.4% | estimated ± 3.6 pp, medium confidence |
| [dots3-note Preview](https://benchgap.net/model/dots3-note-preview.md) | 61.0% | 36.2% | estimated ± 3.6 pp, medium confidence |
| [Atria Dawn Preview](https://benchgap.net/model/atria-dawn-preview.md) | 59.6% | 35.2% | estimated ± 3.6 pp, medium confidence |
| [Ornith-1.5-35B-A3B](https://benchgap.net/model/ornith-1-5-35b-a3b.md) | 59.6% | 35.2% | estimated ± 3.6 pp, medium confidence |
| [Laguna S 2.1](https://benchgap.net/model/laguna-s-2-1.md) | 59.4% | 35.0% | estimated ± 3.6 pp, medium confidence |
| [Sakana Fugu](https://benchgap.net/model/sakana-fugu.md) | 59.0% | 34.7% | estimated ± 3.6 pp, medium confidence |
| [Qwen 3.6 Max (preview)](https://benchgap.net/model/qwen3-6-max-preview.md) | 57.3% | 33.4% | estimated ± 3.6 pp, medium confidence |
| [Claude Opus 4.5](https://benchgap.net/model/claude-opus-4-5.md) | 57.1% | 33.3% | estimated ± 3.6 pp, medium confidence |
| [GPT-5.3 Codex](https://benchgap.net/model/gpt-5-3-codex.md) | 56.8% | 33.0% | estimated ± 3.6 pp, medium confidence |
| [Qwen3.6 Plus](https://benchgap.net/model/qwen3-6-plus.md) | 56.6% | 32.9% | estimated ± 3.6 pp, medium confidence |
| [MiMo-V2.5](https://benchgap.net/model/mimo-v2-5.md) | 56.1% | 32.5% | estimated ± 3.6 pp, medium confidence |
| [GPT-5.2](https://benchgap.net/model/gpt-5-2.md) | 55.6% | 32.1% | estimated ± 3.6 pp, medium confidence |
| [GLM-5](https://benchgap.net/model/glm-5.md) | 55.1% | 31.7% | estimated ± 3.6 pp, medium confidence |
| [Spark-X2.6-4B](https://benchgap.net/model/spark-x2-6-4b.md) | 54.3% | 31.1% | estimated ± 3.6 pp, medium confidence |
| [Claude Opus 4.6](https://benchgap.net/model/claude-opus-4-6.md) | 53.4% | 30.4% | estimated ± 3.6 pp, medium confidence |
| [MAI-Thinking-1](https://benchgap.net/model/mai-thinking-1.md) | 52.8% | 30.0% | estimated ± 3.6 pp, medium confidence |
| [Muse Spark](https://benchgap.net/model/muse-spark.md) | 52.4% | 29.7% | estimated ± 3.6 pp, medium confidence |
| [Grok 4.20](https://benchgap.net/model/grok-4-20-beta.md) | 51.8% | 29.2% | estimated ± 3.6 pp, medium confidence |
| [Kimi K2.5](https://benchgap.net/model/kimi-k2-5.md) | 50.7% | 28.4% | estimated ± 3.6 pp, medium confidence |
| [Ornith-1.0-35B](https://benchgap.net/model/ornith-1-0-35b.md) | 50.4% | 28.1% | estimated ± 3.6 pp, medium confidence |
| [Qwen3.6-35B-A3B](https://benchgap.net/model/qwen3-6-35b-a3b.md) | 49.5% | 27.4% | estimated ± 3.6 pp, medium confidence |
| [Laguna M.1](https://benchgap.net/model/laguna-m-1.md) | 49.2% | 27.2% | estimated ± 3.6 pp, medium confidence |
| [Laguna XS 2.1](https://benchgap.net/model/laguna-xs-2-1.md) | 47.6% | 26.0% | estimated ± 3.6 pp, medium confidence |
| [Ornith-1.5-9B](https://benchgap.net/model/ornith-1-5-9b.md) | 47.5% | 25.9% | estimated ± 3.6 pp, medium confidence |
| [Laguna XS.2](https://benchgap.net/model/laguna-xs-2.md) | 46.3% | 25.0% | estimated ± 3.6 pp, medium confidence |
| [Ornith-1.0-9B](https://benchgap.net/model/ornith-1-0-9b.md) | 42.9% | 22.4% | estimated ± 3.6 pp, medium confidence |
| [LongCat-Flash-Lite-Sparse](https://benchgap.net/model/longcat-flash-lite-sparse.md) | 40.6% | 20.6% | estimated ± 3.6 pp, medium confidence |

## Fitted on

| Model | SWE-bench Pro | CursorBench 4.0 |
|---|---|---|
| [Claude Fable 5.1](https://benchgap.net/model/claude-fable-5-1.md) | 81.2% | 51.8% |
| [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 79.2% | 46.6% |
| [Claude Opus 5.5](https://benchgap.net/model/claude-opus-5-5.md) | 89.9% | 57.8% |
| [Claude Sonnet 5](https://benchgap.net/model/claude-sonnet-5.md) | 63.2% | 34.1% |
| [Claude Sonnet 5.5](https://benchgap.net/model/claude-sonnet-5-5.md) | 81.3% | 55.5% |
| [GPT-5.6 Luna](https://benchgap.net/model/gpt-5-6-luna.md) | 62.7% | 35.9% |
| [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 64.6% | 41.7% |
| [GPT-5.6 Terra](https://benchgap.net/model/gpt-5-6-terra.md) | 63.4% | 41.3% |