benchgap
Calibration

AA-SciCode → CursorBench 4.0

CursorBench 4.0 is estimated from AA-SciCode with a Hill curve fitted on 12 models measured on both: y = 0.0000 + (0.7527 − 0.0000)·x^6.00 / (0.54360^6.00 + x^6.00), R² = 0.82, cross-validated error 3.5 pp. It is used for 22 estimates.

Estimated modelAA-SciCodeCursorBench 4.0Source
A.X K241.0%11.7%estimated ± 3.5 pp, medium confidence
Claude Haiku 5.555.0%39.0%estimated ± 3.5 pp, high confidence
DeepSeek V3 032439.0%9.0%estimated ± 3.5 pp, medium confidence
DeepSeek V4.1 Flash51.9%32.4%estimated ± 3.5 pp, medium confidence
GPT-6.1 Sol54.2%37.3%estimated ± 3.5 pp, high confidence
GPT-6 Luna54.6%38.1%estimated ± 3.5 pp, high confidence
GPT-6 Sol57.6%44.1%estimated ± 3.5 pp, high confidence
Granite 4.2 30B37.8%7.6%estimated ± 3.5 pp, medium confidence
Granite 4.2 3B25.3%0.8%estimated ± 3.5 pp, medium confidence
K-EXAONE 2.042.0%13.2%estimated ± 3.5 pp, medium confidence
Ling 3.0 Flash VL44.2%16.9%estimated ± 3.5 pp, medium confidence
Ling 3.0 Tiny24.2%0.6%estimated ± 3.5 pp, medium confidence
Ling 3.1 Flash54.1%37.1%estimated ± 3.5 pp, high confidence
Mercury 2.538.5%8.4%estimated ± 3.5 pp, medium confidence
MiMo-V2.6-Flash51.3%31.2%estimated ± 3.5 pp, medium confidence
MiMo-V2.6-Pro60.9%50.0%estimated ± 3.5 pp, high confidence
MiniCPM5-2B26.3%1.0%estimated ± 3.5 pp, medium confidence
Mistral Large 454.2%37.3%estimated ± 3.5 pp, high confidence
North Mini Code38.8%8.8%estimated ± 3.5 pp, medium confidence
Solar Pro 325.5%0.8%estimated ± 3.5 pp, medium confidence
Solar Pro 444.6%17.6%estimated ± 3.5 pp, medium confidence
Step 5 Preview58.9%46.5%estimated ± 3.5 pp, high confidence