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 109B parameters, and 1000K context length, requiring about 218GB storage, under the Llama4 License license, with a 79.60 score on MMLU.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
Benchmark Results
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.
General Knowledge
4 evaluationsCompare with other models
No curated comparisons for this model yet.
Want a custom combination? Open the compare tool
Publisher
Model Overview
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 109B parameters, and 1000K context length, requiring about 218GB storage, under the Llama4 License license, with a 79.60 score on MMLU.
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
