benchgap
Calibration

Vals MMLU-Pro → GPQA Diamond

GPQA Diamond is estimated from Vals MMLU-Pro with a linear curve fitted on 23 models measured on both: y = 0.9065·x + 0.1177, R² = 0.59, cross-validated error 2.0 pp. It is used for 2 estimates.

Estimated modelVals MMLU-ProGPQA DiamondSource
Muse Spark 1.288.3%91.8%estimated ± 2.0 pp, high confidence
Mistral Medium 3.5 128B75.3%80.0%estimated ± 2.0 pp, medium confidence

Fitted on

ModelVals MMLU-ProGPQA Diamond
Claude Opus 4.889.6%93.6%
DeepSeek V4 Flash 073186.2%88.1%
DeepSeek V4 Pro 081387.0%90.1%
Gemini 3.1 Pro91.0%94.3%
Gemini 3.5 Flash89.5%92.7%
GLM-5.186.9%86.2%
GLM-5.286.7%91.2%
GPT-5.588.1%93.6%
GPT-5.6 Luna86.0%92.3%
GPT-5.6 Sol89.1%94.6%
GPT-5.6 Terra86.7%92.9%
Grok 4.2086.3%88.5%
Inkling86.3%87.9%
Inkling-Small85.6%89.5%
Kimi K2.687.6%90.5%
Kimi K388.0%93.5%
Ling 3.0 Flash82.0%85.0%
MiniMax M2.780.4%87.0%
Muse Spark87.3%89.5%
Nemotron 3 Ultra85.8%87.0%
Qwen3.7 Max89.3%92.4%
Qwen3.8-27B84.3%89.2%
Qwen3.8 Max88.6%92.6%