benchgap
Calibration

SuperGPQA → AA-Omniscience Accuracy

AA-Omniscience Accuracy is estimated from SuperGPQA with a Michaelis–Menten curve fitted on 12 models measured on both: y = 2.0000·x / (3.92058 + x), R² = 0.46, cross-validated error 6.7 pp. It is used for 8 estimates.

Estimated modelSuperGPQAAA-Omniscience AccuracySource
Seed 2.1 Pro70.8%30.6%estimated ± 6.7 pp, low confidence
Seed 2.1 Turbo67.4%29.3%estimated ± 6.7 pp, low confidence
Qwen3.5-122B-A10B67.1%29.2%estimated ± 6.7 pp, low confidence
Qwen3 235B 2507 (Reasoning)64.9%28.4%estimated ± 6.7 pp, low confidence
Qwen3.6-35B-A3B64.7%28.3%estimated ± 6.7 pp, low confidence
Qwen3 235B 250762.6%27.5%estimated ± 6.7 pp, low confidence
MiniCPM5-2B40.8%18.9%estimated ± 6.7 pp, low confidence
MiniCPM5-1B23.1%11.1%estimated ± 6.7 pp, low confidence

Fitted on

ModelSuperGPQAAA-Omniscience Accuracy
Claude Opus 4.570.6%40.9%
Claude Opus 4.695.0%45.8%
Claude Sonnet 4.695.0%38.6%
GLM-566.8%26.3%
Kimi K257.2%27.4%
Kimi K2.569.2%35.2%
Qwen3.5-27B65.6%20.7%
Qwen3.5-35B-A3B63.4%20.1%
Qwen3.6-27B66.0%19.6%
Qwen 3.6 Max (preview)73.9%37.9%
Qwen3.6 Plus71.6%26.4%
Qwen3.7 Max73.6%31.1%