Llama3.1-405B
Llama3.1-405B is an AI model published by Facebook AI Research Lab, released on 2024-07-23, for Foundation model, with 405B parameters, and 128K context length, requiring about 800GB storage, with a 61.60 score on MMLU Pro.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
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Benchmark Results
Llama3.1-405B currently shows benchmark results led by MMLU Pro (110 / 133, 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.
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Model Overview
Llama3.1-405B is an AI model published by Facebook AI Research Lab, released on 2024-07-23, for Foundation model, with 405B parameters, and 128K context length, requiring about 800GB storage, with a 61.60 score on MMLU Pro.
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