# Vals SWE-bench → CursorBench 3.2

Calibration · https://benchgap.net/calibration/1588 · data retrieved 2026-10-29

CursorBench 3.2 is estimated from Vals SWE-bench with a Michaelis–Menten curve fitted on 17 models measured on both: y = 2.0000·x / (1.95432 + x), R² = 0.47, cross-validated error 5.4 pp. It is used for 4 estimates.

| Estimated model | Vals SWE-bench | CursorBench 3.2 | Source |
|---|---|---|---|
| [Gemini 3 Flash](https://benchgap.net/model/gemini-3-flash.md) | 75.0% | 55.5% | estimated ± 5.4 pp, low confidence |
| [GPT-5.2-Codex](https://benchgap.net/model/gpt-5-2-codex.md) | 72.4% | 54.1% | estimated ± 5.4 pp, low confidence |
| [Qwen3.5 Flash](https://benchgap.net/model/qwen3-5-flash.md) | 64.4% | 49.6% | estimated ± 5.4 pp, low confidence |
| [Gemini 3.1 Flash-Lite](https://benchgap.net/model/gemini-3-1-flash-lite.md) | 62.8% | 48.6% | estimated ± 5.4 pp, low confidence |

## Fitted on

| Model | Vals SWE-bench | CursorBench 3.2 |
|---|---|---|
| [Claude Fable 5](https://benchgap.net/model/claude-fable.md) | 95.0% | 70.5% |
| [Claude Opus 4.8](https://benchgap.net/model/claude-opus-4-8.md) | 88.6% | 62.3% |
| [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 97.0% | 70.0% |
| [Claude Sonnet 5](https://benchgap.net/model/claude-sonnet-5.md) | 79.6% | 61.5% |
| [Composer 2.5](https://benchgap.net/model/composer-2-5.md) | 79.6% | 56.1% |
| [Gemini 3.5 Flash](https://benchgap.net/model/gemini-3-5-flash.md) | 78.8% | 48.8% |
| [Gemini 3.6 Flash](https://benchgap.net/model/gemini-3-6-flash.md) | 79.6% | 53.5% |
| [Gemini 3.8 Flash](https://benchgap.net/model/gemini-3-8-flash.md) | 80.0% | 69.2% |
| [GLM-5.2](https://benchgap.net/model/glm-5-2.md) | 82.8% | 55.0% |
| [GPT-5.5](https://benchgap.net/model/gpt-5-5.md) | 82.6% | 58.4% |
| [GPT-5.6 Luna](https://benchgap.net/model/gpt-5-6-luna.md) | 93.0% | 61.1% |
| [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 96.2% | 67.2% |
| [GPT-5.6 Terra](https://benchgap.net/model/gpt-5-6-terra.md) | 95.4% | 64.9% |
| [Grok 4.5](https://benchgap.net/model/grok-4-5.md) | 86.6% | 66.7% |
| [Grok 4.6](https://benchgap.net/model/grok-4-6.md) | 95.6% | 70.8% |
| [Kimi K2.7 Code](https://benchgap.net/model/kimi-k2-7-code.md) | 78.2% | 49.7% |
| [Kimi K3](https://benchgap.net/model/kimi-k3.md) | 93.4% | 60.8% |