benchgap
Calibration

Vals MMLU-Pro → HLE

HLE is estimated from Vals MMLU-Pro with a inverse Michaelis–Menten curve fitted on 29 models measured on both: y = 0.08531·(x − 0.0000) / (0.0000 + 1.0439 − x), R² = 0.48, cross-validated error 9.4 pp. It is used for 15 estimates.

Estimated modelVals MMLU-ProHLESource
Gemini 3 Flash88.6%47.9%estimated ± 9.4 pp, low confidence
Muse Spark 1.288.3%46.8%estimated ± 9.4 pp, low confidence
GLM-5.386.8%42.1%estimated ± 9.4 pp, low confidence
Gemini 3.1 Flash-Lite86.2%40.4%estimated ± 9.4 pp, low confidence
GLM-5.3-Flash86.1%40.1%estimated ± 9.4 pp, low confidence
Gemini 3.5 Flash-Lite85.8%39.4%estimated ± 9.4 pp, low confidence
MiniMax M384.2%35.6%estimated ± 9.4 pp, low confidence
Qwen3.5 Flash84.1%35.4%estimated ± 9.4 pp, low confidence
MiMo-V2.582.9%32.9%estimated ± 9.4 pp, low confidence
GLM-4.682.2%31.6%estimated ± 9.4 pp, low confidence
GLM-4.581.2%29.9%estimated ± 9.4 pp, low confidence
Claude Haiku 4.578.7%26.1%estimated ± 9.4 pp, low confidence
Mistral Medium 3.5 128B75.3%22.1%estimated ± 9.4 pp, low confidence
Laguna XS.269.1%16.7%estimated ± 9.4 pp, low confidence
Laguna M.168.8%16.5%estimated ± 9.4 pp, low confidence

Fitted on

ModelVals MMLU-ProHLE
Claude Fable 5.192.4%65.0%
Claude Opus 4.889.6%57.9%
Claude Opus 591.6%64.7%
Claude Sonnet 4.687.3%49.0%
Claude Sonnet 587.5%57.4%
DeepSeek V4 Flash 073186.2%34.8%
DeepSeek V4 Pro 081387.0%42.7%
Gemini 3.5 Flash89.5%40.2%
GLM-4.782.7%24.8%
GLM-5.186.9%31.0%
GLM-5.286.7%40.5%
GPT-5.4 mini84.6%41.5%
GPT-5.4 nano77.2%37.7%
GPT-5.588.1%52.2%
Grok 4.385.8%35.0%
Inkling86.3%46.0%
Inkling-Small85.6%47.8%
Kimi K2.687.6%34.7%
Kimi K388.0%56.0%
Ling 3.0 Flash82.0%22.7%
MiMo-V2.5-Pro84.6%48.0%
MiniMax M2.780.4%28.0%
Muse Spark87.3%50.4%
Muse Spark 1.188.7%62.1%
Nemotron 3 Ultra85.8%26.7%
Qwen3.6 Plus87.7%28.8%
Qwen3.7 Max89.3%41.4%
Qwen3.8-27B84.3%30.8%
Qwen3.8 Max88.6%43.6%