benchgap
Calibration

Vals SWE-bench → CursorBench 3.2

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 modelVals SWE-benchCursorBench 3.2Source
Gemini 3 Flash75.0%55.5%estimated ± 5.4 pp, low confidence
GPT-5.2-Codex72.4%54.1%estimated ± 5.4 pp, low confidence
Qwen3.5 Flash64.4%49.6%estimated ± 5.4 pp, low confidence
Gemini 3.1 Flash-Lite62.8%48.6%estimated ± 5.4 pp, low confidence

Fitted on

ModelVals SWE-benchCursorBench 3.2
Claude Fable 595.0%70.5%
Claude Opus 4.888.6%62.3%
Claude Opus 597.0%70.0%
Claude Sonnet 579.6%61.5%
Composer 2.579.6%56.1%
Gemini 3.5 Flash78.8%48.8%
Gemini 3.6 Flash79.6%53.5%
Gemini 3.8 Flash80.0%69.2%
GLM-5.282.8%55.0%
GPT-5.582.6%58.4%
GPT-5.6 Luna93.0%61.1%
GPT-5.6 Sol96.2%67.2%
GPT-5.6 Terra95.4%64.9%
Grok 4.586.6%66.7%
Grok 4.695.6%70.8%
Kimi K2.7 Code78.2%49.7%
Kimi K393.4%60.8%