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Llama3.1-405B
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Llama3.1-405B currently shows benchmark results led by MMLU Pro (93 / 114, score 61.60). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
MetaAI开源的全球最大规模参数的大语言模型,4050亿参数的Llama3.1-405B。
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