# Vals SWE-bench → CursorBench 4.0

Calibration · https://benchgap.net/calibration/1589 · data retrieved 2026-10-29

CursorBench 4.0 is estimated from Vals SWE-bench with a inverse Michaelis–Menten curve fitted on 8 models measured on both: y = 0.46732·(x − 0.0000) / (0.0000 + 2.0000 − x), R² = 0.46, cross-validated error 4.4 pp. It is used for 9 estimates.

| Estimated model | Vals SWE-bench | CursorBench 4.0 | Source |
|---|---|---|---|
| [Claude Opus 4.7](https://benchgap.net/model/claude-opus-4-7.md) | 82.0% | 32.5% | estimated ± 4.4 pp, medium confidence |
| [Claude Sonnet 4.6](https://benchgap.net/model/claude-sonnet-4-6.md) | 77.4% | 29.5% | estimated ± 4.4 pp, low confidence |
| [Gemini 3 Flash](https://benchgap.net/model/gemini-3-flash.md) | 75.0% | 28.0% | estimated ± 4.4 pp, low confidence |
| [GPT-5.2-Codex](https://benchgap.net/model/gpt-5-2-codex.md) | 72.4% | 26.5% | estimated ± 4.4 pp, low confidence |
| [GLM-4.7](https://benchgap.net/model/glm-4-7.md) | 69.4% | 24.8% | estimated ± 4.4 pp, low confidence |
| [Claude Haiku 4.5](https://benchgap.net/model/claude-haiku-4-5.md) | 66.6% | 23.3% | estimated ± 4.4 pp, low confidence |
| [Mistral Medium 3.5 128B](https://benchgap.net/model/mistral-medium-3-5-128b.md) | 66.4% | 23.2% | estimated ± 4.4 pp, low confidence |
| [Qwen3.5 Flash](https://benchgap.net/model/qwen3-5-flash.md) | 64.4% | 22.2% | estimated ± 4.4 pp, low confidence |
| [Gemini 3.1 Flash-Lite](https://benchgap.net/model/gemini-3-1-flash-lite.md) | 62.8% | 21.4% | estimated ± 4.4 pp, low confidence |

## Fitted on

| Model | Vals SWE-bench | CursorBench 4.0 |
|---|---|---|
| [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 97.0% | 46.6% |
| [Claude Sonnet 5](https://benchgap.net/model/claude-sonnet-5.md) | 79.6% | 34.1% |
| [Composer 2.5](https://benchgap.net/model/composer-2-5.md) | 79.6% | 27.7% |
| [Gemini 3.8 Flash](https://benchgap.net/model/gemini-3-8-flash.md) | 80.0% | 39.6% |
| [GPT-5.6 Luna](https://benchgap.net/model/gpt-5-6-luna.md) | 93.0% | 35.9% |
| [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 96.2% | 41.7% |
| [GPT-5.6 Terra](https://benchgap.net/model/gpt-5-6-terra.md) | 95.4% | 41.3% |
| [Grok 4.6](https://benchgap.net/model/grok-4-6.md) | 95.6% | 41.4% |