Llama 4 Scout
Llama 4 Scout is an AI model published by Facebook AI研究实验室, released on 2025-04-05, for Multimodal model, with 1090.0B parameters, and 1000K tokens context length, requiring about 218GB storage, under the Llama4 License license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Llama 4 Scout currently shows benchmark results led by MBPP (19 / 28, score 67.80), MMLU (51 / 65, score 79.60), MATH (33 / 42, score 50.30). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Llama 4 Scout is an AI model published by Facebook AI研究实验室, released on 2025-04-05, for Multimodal model, with 1090.0B parameters, and 1000K tokens context length, requiring about 218GB storage, under the Llama4 License license.
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