benchgap
Calibration

Vals MMLU-Pro → HLE w/o tools

HLE w/o tools is estimated from Vals MMLU-Pro with a offset logistic curve fitted on 19 models measured on both: y = 0.2510 + (0.5738 − 0.2510) / (1 + exp(−64.54·(x − 0.8764))), R² = 0.86, cross-validated error 5.1 pp. It is used for 9 estimates.

Estimated modelVals MMLU-ProHLE w/o toolsSource
Gemini 3.1 Flash-Lite86.2%34.2%estimated ± 5.1 pp, medium confidence
GLM-5.3-Flash86.1%33.8%estimated ± 5.1 pp, medium confidence
Qwen3.5 Flash84.1%28.1%estimated ± 5.1 pp, medium confidence
MiMo-V2.582.9%26.5%estimated ± 5.1 pp, medium confidence
GLM-4.581.2%25.6%estimated ± 5.1 pp, medium confidence
Claude Haiku 4.578.7%25.2%estimated ± 5.1 pp, medium confidence
Mistral Medium 3.5 128B75.3%25.1%estimated ± 5.1 pp, low confidence
Laguna XS.269.1%25.1%estimated ± 5.1 pp, low confidence
Laguna M.168.8%25.1%estimated ± 5.1 pp, low confidence

Fitted on

ModelVals MMLU-ProHLE w/o tools
Claude Fable 5.192.4%60.9%
Claude Opus 4.889.6%49.8%
Claude Opus 591.6%56.3%
Claude Sonnet 587.5%43.2%
Gemini 3.1 Pro91.0%45.4%
GLM-5.286.7%40.5%
GPT-5.4 mini84.6%28.2%
GPT-5.4 nano77.2%24.3%
GPT-5.588.1%41.4%
Grok 4.2086.3%31.6%
Inkling86.3%30.0%
Inkling-Small85.6%31.6%
Kimi K388.0%43.5%
MiMo-V2.5-Pro84.6%34.0%
Muse Spark87.3%42.8%
Muse Spark 1.188.7%52.2%
Nemotron 3 Ultra85.8%26.7%
Qwen3.8-27B84.3%30.8%
Qwen3.8 Max88.6%43.6%