Llama 4 Scout
Llama 4 Scout is a powerful general-purpose AI model with 17 billion active parameters across 109 billion total, delivering state-of-the-art multimodal performance on text, images, coding, and reasoning tasks. Featuring an industry-leading 10 million token context window and efficient single-GPU deployment, it excels in multi-document summarization, long-context analysis, and precise visual grounding.
Available for Chat, Vision, and File Uploads.
Performance Benchmarks
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Why use Llama 4 Scout?
Native Multimodality
Processes text and image inputs natively via early fusion for tasks like image analysis and visual question answering
10M Token Context
Supports up to 10 million token context length for long-context tasks like multi-document summarization and vast codebase reasoning
Advanced Code Generation
Excels in coding benchmarks with strong performance on reasoning over extensive codebases
Capability Examples
Long Context Summarization
Multimodal Image Analysis
How to use
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