benchgap
Calibration

SuperGPQA → MMLU-Pro

MMLU-Pro is estimated from SuperGPQA with a Michaelis–Menten curve fitted on 19 models measured on both: y = 1.1467·x / (0.24027 + x), R² = 0.76, cross-validated error 6.3 pp. It is used for 2 estimates.

Estimated modelSuperGPQAMMLU-ProSource
Seed 2.1 Pro70.8%85.6%estimated ± 6.3 pp, medium confidence
Seed 2.1 Turbo67.4%84.5%estimated ± 6.3 pp, medium confidence

Fitted on

ModelSuperGPQAMMLU-Pro
Claude Opus 4.570.6%89.5%
Claude Opus 4.695.0%82.0%
Claude Sonnet 4.695.0%79.2%
GLM-566.8%85.7%
Kimi K257.2%81.1%
Kimi K2.569.2%87.1%
MiniCPM5-1B23.1%48.9%
MiniCPM5-2B40.8%70.8%
Qwen3 235B 250762.6%83.0%
Qwen3 235B 2507 (Reasoning)64.9%84.4%
Qwen3.5-122B-A10B67.1%86.7%
Qwen3.5-27B65.6%86.1%
Qwen3.5-35B-A3B63.4%85.3%
Qwen3.5 397B70.4%87.8%
Qwen3.6-27B66.0%86.2%
Qwen3.6-35B-A3B64.7%85.2%
Qwen3.6 Plus71.6%88.5%
Qwen3.7 Max73.6%89.6%
Qwen3.7 Plus71.4%88.5%