Llama 4 Maverick 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. The 1M-token context window is large enough to hold entire codebases, lengthy technical documents, or extended agentic sessions without truncation.
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Llama 4 Maverick was released on April 5, 2025 as Meta’s flagship Llama 4 model. Maverick introduced a native multimodal mixture-of-experts architecture — the first Llama model capable of processing images at the reasoning level — using 17B active parameters from a 400B pool with 128 experts. At launch it was the strongest open-weight model on visual understanding tasks, enabling the first generation of vision-capable open-weight agents. Its 1M context window and multimodal capability made it the reference model for open-weight agentic application development through the first half of 2025, before the Frontier-tier closed models extended their lead.
It handles demanding scientific reasoning, research literature summarisation, and knowledge-intensive tasks across STEM disciplines.
Self-Hosted & Private Deployments
Llama 4 Maverick is open-weight (17B/400B MoE (128 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 1M-token context window, Llama 4 Maverick 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 Maverick 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 Maverick 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 Maverick supports a 1M-token context window, large enough to hold entire codebases, lengthy technical documents, or extended agentic sessions without truncation.
Llama 4 Maverick is not currently integrated in FlowHunt. See the full AI Leaderboard for which models are available.
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