benchgap
Calibration

CursorBench 3.2 → FrontierCode 1.1 Main

FrontierCode 1.1 Main is estimated from CursorBench 3.2 with a inverse Michaelis–Menten curve fitted on 5 models measured on both: y = 0.99814·(x − 0.0000) / (0.0000 + 2.0000 − x), R² = 0.92, cross-validated error 1.6 pp. It is used for 13 estimates.

Estimated modelCursorBench 3.2FrontierCode 1.1 MainSource
Claude Fable 5.173.4%57.9%estimated ± 1.6 pp, low confidence
Composer 2.556.1%38.9%estimated ± 1.6 pp, low confidence
Gemini 3.5 Flash48.8%32.2%estimated ± 1.6 pp, low confidence
Gemini 3.6 Flash53.5%36.5%estimated ± 1.6 pp, low confidence
Gemini 3.8 Flash69.2%52.8%estimated ± 1.6 pp, medium confidence
GLM-5.255.0%37.9%estimated ± 1.6 pp, low confidence
GPT-5.6 Luna61.1%43.9%estimated ± 1.6 pp, medium confidence
GPT-5.6 Sol67.2%50.5%estimated ± 1.6 pp, medium confidence
GPT-5.6 Terra64.9%47.9%estimated ± 1.6 pp, medium confidence
Grok 4.566.7%49.9%estimated ± 1.6 pp, medium confidence
Grok 4.670.8%54.7%estimated ± 1.6 pp, low confidence
Kimi K2.7 Code49.7%33.0%estimated ± 1.6 pp, low confidence
Kimi K360.8%43.6%estimated ± 1.6 pp, medium confidence