benchgap
Calibration

Vals SWE-bench → CursorBench 3.1

CursorBench 3.1 is estimated from Vals SWE-bench with a linear curve fitted on 7 models measured on both: y = 1.0263·x + -0.2797, R² = 0.68, cross-validated error 5.8 pp. It is used for 9 estimates.

Estimated modelVals SWE-benchCursorBench 3.1Source
GLM-5.3-Flash92.0%66.4%estimated ± 5.8 pp, low confidence
Claude Opus 4.782.0%56.2%estimated ± 5.8 pp, low confidence
Gemini 3 Flash75.0%49.0%estimated ± 5.8 pp, low confidence
GPT-5.2-Codex72.4%46.3%estimated ± 5.8 pp, low confidence
GLM-4.769.4%43.3%estimated ± 5.8 pp, low confidence
Claude Haiku 4.566.6%40.4%estimated ± 5.8 pp, low confidence
Mistral Medium 3.5 128B66.4%40.2%estimated ± 5.8 pp, low confidence
Qwen3.5 Flash64.4%38.1%estimated ± 5.8 pp, low confidence
Gemini 3.1 Flash-Lite62.8%36.5%estimated ± 5.8 pp, low confidence

Fitted on

ModelVals SWE-benchCursorBench 3.1
Claude Fable 595.0%70.6%
Claude Opus 4.888.6%58.4%
Claude Sonnet 4.677.4%48.8%
Composer 2.579.6%63.2%
Gemini 3.5 Flash78.8%49.8%
GPT-5.582.6%59.2%
Kimi K2.676.2%47.6%