2,500 expert-level questions spanning mathematics, sciences, and humanities. Designed to be 'the final closed-ended academic evaluation' that even top models fail most of.
为什么重要： The hardest academic benchmark — top models still fail 60-65% of questions. Shows how far we are from genuine expert-level reasoning.
顶级模型
39%
GPT-5.4
平均评分
33.1%
共11个模型
已测试模型
11
指标: accuracy
人类基准
—
评分范围: 0%–100%
All models with a reported HLE score, ranked by highest accuracy.
HLE is a standardized evaluation that measures AI model performance on specific tasks. It provides comparable scores across different models, helping developers choose the right model for their needs.
GPT-5.4 currently holds the top score on the HLE benchmark. See our full rankings table above for the complete leaderboard with 11 models.
We update benchmark data from multiple sources including HuggingFace Open LLM Leaderboard and LMArena. Scores are refreshed regularly as new evaluations are published and new models are released.
No. While HLE is an important indicator, real-world performance depends on many factors including pricing, latency, context window, and specific task requirements. We recommend using our composite score which weighs multiple benchmarks and practical factors.