benchgap
Calibration

SuperGPQA → Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index is estimated from SuperGPQA with a offset logistic curve fitted on 12 models measured on both: y = 0.1193 + (0.2666 − 0.1193) / (1 + exp(−47.14·(x − 0.6335))), R² = 0.81, cross-validated error 3.0 pp. It is used for 10 estimates.

Estimated modelSuperGPQAArtificial Analysis Intelligence IndexSource
Qwen3.7 Plus71.4%26.3%estimated ± 3.0 pp, high confidence
Seed 2.1 Pro70.8%26.2%estimated ± 3.0 pp, high confidence
Qwen3.5 397B70.4%26.1%estimated ± 3.0 pp, high confidence
Seed 2.1 Turbo67.4%24.8%estimated ± 3.0 pp, high confidence
Qwen3.5-122B-A10B67.1%24.5%estimated ± 3.0 pp, high confidence
Qwen3 235B 2507 (Reasoning)64.9%21.9%estimated ± 3.0 pp, high confidence
Qwen3.6-35B-A3B64.7%21.6%estimated ± 3.0 pp, high confidence
Qwen3 235B 250762.6%18.0%estimated ± 3.0 pp, high confidence
MiniCPM5-2B40.8%11.9%estimated ± 3.0 pp, medium confidence
MiniCPM5-1B23.1%11.9%estimated ± 3.0 pp, medium confidence

Fitted on

ModelSuperGPQAArtificial Analysis Intelligence Index
Claude Opus 4.570.6%23.7%
Claude Opus 4.695.0%26.4%
Claude Sonnet 4.695.0%24.7%
GLM-566.8%27.9%
Kimi K257.2%12.7%
Kimi K2.569.2%23.5%
Qwen3.5-27B65.6%22.9%
Qwen3.5-35B-A3B63.4%19.3%
Qwen3.6-27B66.0%21.4%
Qwen 3.6 Max (preview)73.9%28.4%
Qwen3.6 Plus71.6%27.0%
Qwen3.7 Max73.6%29.5%