benchgap
Calibration

AA-SciCode → NL2Repo

NL2Repo is estimated from AA-SciCode with a linear curve fitted on 15 models measured on both: y = 1.5999·x + -0.3023, R² = 0.66, cross-validated error 6.5 pp. It is used for 17 estimates.

Estimated modelAA-SciCodeNL2RepoSource
Claude Haiku 5.555.0%57.8%estimated ± 6.5 pp, medium confidence
DeepSeek V3 032439.0%32.2%estimated ± 6.5 pp, medium confidence
Gemini 4 Argon61.8%68.6%estimated ± 6.5 pp, low confidence
GPT-6.1 Sol54.2%56.5%estimated ± 6.5 pp, medium confidence
GPT-6 Luna54.6%57.1%estimated ± 6.5 pp, medium confidence
GPT-6 Sol57.6%61.9%estimated ± 6.5 pp, medium confidence
Grok 4.757.4%61.6%estimated ± 6.5 pp, medium confidence
Ling 3.0 Flash VL44.2%40.5%estimated ± 6.5 pp, medium confidence
Ling 3.0 Tiny24.2%8.5%estimated ± 6.5 pp, low confidence
Ling 3.1 Flash54.1%56.3%estimated ± 6.5 pp, medium confidence
Mercury 2.538.5%31.4%estimated ± 6.5 pp, medium confidence
MiMo-V2.6-Flash51.3%51.8%estimated ± 6.5 pp, medium confidence
MiMo-V2.6-Pro60.9%67.2%estimated ± 6.5 pp, low confidence
Mistral Large 454.2%56.5%estimated ± 6.5 pp, medium confidence
North Mini Code38.8%31.8%estimated ± 6.5 pp, medium confidence
Solar Pro 325.5%10.6%estimated ± 6.5 pp, low confidence
Step 5 Preview58.9%64.0%estimated ± 6.5 pp, medium confidence