Expert-level science reasoning across biology, chemistry, and physics at PhD level. Questions are designed to be 'Google-proof' — even domain experts with web access struggle.
为什么重要： One of the best discriminators between models. Scores range widely (40-85%), making it highly informative for comparing reasoning ability.
顶级模型
88.5%
GPT-5.4
平均评分
67.7%
共42个模型
已测试模型
42
指标: accuracy
人类基准
65%
评分范围: 0%–100%
All models with a reported GPQA Diamond score, ranked by highest accuracy.
GPQA Diamond 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 GPQA Diamond benchmark. See our full rankings table above for the complete leaderboard with 42 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 GPQA Diamond 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.