Tests broad knowledge across 57 academic subjects (STEM, humanities, social sciences) with 16,000 multiple-choice questions. The most widely-cited LLM benchmark.
为什么重要： Shows how well a model has absorbed factual knowledge during training. Saturating above 90%, so less useful for differentiating frontier models.
顶级模型
94%
GPT-5.4
平均评分
87.6%
共45个模型
已测试模型
45
指标: accuracy
人类基准
89.8%
评分范围: 0%–100%
All models with a reported MMLU score, ranked by highest accuracy.
MMLU 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 MMLU benchmark. See our full rankings table above for the complete leaderboard with 45 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 MMLU 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.