benchgap
Calibration

We-Math → MMMU-Pro

MMMU-Pro is estimated from We-Math with a offset logistic curve fitted on 6 models measured on both: y = 0.0018 + (0.7950 − 0.0018) / (1 + exp(−126.48·(x − 0.6836))), R² = 1.00, cross-validated error 11.3 pp. It is used for 0 estimates.

Fitted on

ModelWe-MathMMMU-Pro
Claude Opus 4.570.0%70.6%
Gemini 3 Pro86.9%81.0%
GPT-5.279.0%79.5%
Kimi K2.584.7%78.5%
LFM3-VL-2B68.6%45.7%
Qwen3.5 397B87.9%79.0%