Llama 4 Scout is a proven AI model still widely deployed in production systems, developed by Meta and released in April 2025. As an open-weight model, its trained weights are publicly available — you can self-host it, fine-tune it on proprietary data, or run it on-premise without API dependencies. Its 10M-token context window is one of the largest available — capable of processing book-length documents, entire code repositories, or very long conversation histories in a single prompt.
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Llama 4 Scout was released alongside Maverick on April 5, 2025 as the smaller, highly accessible variant of the Llama 4 generation — and immediately attracted attention for its context window: 10 million tokens, the largest of any model on this leaderboard. The 10M-token window was achieved through modifications to the attention mechanism and positional encoding that enabled the model to maintain coherence across documents far longer than any prior open-weight model could handle. Scout (17B active / 109B total, 16 experts) became the default model for retrieval-augmented generation pipelines that needed to operate over very large document collections without chunking — processing entire legal case histories, codebases, or scientific literature corpuses in a single prompt.
Llama 4 Scout is open-weight (17B/109B MoE (16 experts) parameters) — its trained weights are publicly available for download and self-deployment. Run it on your own GPU hardware or private cloud to ensure data never leaves your environment, eliminate per-token API costs at scale, or fine-tune the model on proprietary datasets.
Long-Document & Codebase Analysis
With a 10M-token context window, Llama 4 Scout can ingest entire software repositories, long legal contracts, book-length research reports, or extensive conversation histories in a single prompt — enabling deep document Q&A, cross-file codebase reasoning, and comprehensive summarisation without chunking heuristics or RAG pipelines.
About MetaMenlo Park, CA · Founded 2004 · ai.meta.com
Meta Platforms (formerly Facebook) is one of the world's largest technology companies, headquartered in Menlo Park, California, and best known for Facebook, Instagram, WhatsApp, and Threads. Through Meta AI (formerly FAIR), the company has become the most prolific publisher of open-weight large language models via the Llama family. The Llama 4 series — Maverick, Scout, and Behemoth — were released under permissive community licences and remain the most downloaded open-weight models on platforms like Hugging Face. Meta's AI strategy is distinct among major labs: rather than operating a commercial API, Meta releases models openly for research and commercial use, integrates generative AI features across its own applications, and has publicly advocated for open-weight releases as the most democratic approach to AI development.
Llama 4 Scout is a proven AI model still widely deployed in production systems, developed by Meta and released in April 2025. It handles general AI tasks including writing, analysis, summarisation, and question answering.
Llama 4 Scout is an open-weight model. Its trained weights are publicly available for download, self-hosting, and fine-tuning. You can run it on your own infrastructure without per-token API fees. Note that open-weight is not the same as open-source: the training code and data may not be fully public.
Llama 4 Scout supports a 10M-token context window — one of the largest available. It can process book-length documents, entire code repositories, or very long conversation histories in a single prompt.
Llama 4 Scout is no longer available in FlowHunt. The AI Leaderboard shows which models you can use in FlowHunt today.
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