llama-4-maverick

Llama-4-Maverick is Meta’s flagship multi-modal language model featuring a hybrid expert (MoE) architecture, primarily positioned as a top-tier AI engine with “ultra-large-scale capabilities plus native text-and-image understanding.”

• Ultra-large MoE architecture: With approximately 400 billion total parameters and 17 billion activated parameters, it integrates 128 experts, striking a balance between maximum capability and inference efficiency.
• Native multi-modal support: Through an early fusion architecture, it directly processes both text and image inputs, enabling true joint text-and-image reasoning.
• Remarkable context length: The instruction-tuned version supports up to 1 million tokens of context, effortlessly handling ultra-long content such as entire books or lengthy video scripts.
• Unprecedentedly rich training data: Pre-trained on 40 trillion tokens, covering 200 languages and specially optimized for 12 major languages.
• Production-ready deployment: Supports BF16/FP8 formats and is compatible with Transformers, TGI, and vLLM—ready to use out-of-the-box.

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Core Capabilities

👁️ Deep visual semantic understanding: It not only recognizes image content but also performs cross-modal reasoning by integrating text—for example, analyzing charts, interpreting interfaces, and comparing image differences.

🧠 Ultra-long-range logical coherence: Leveraging the NoPE layer and iRoPE architecture, it maintains precise positional awareness and information correlation even in contexts spanning millions of tokens.

🌍 True mastery of global languages: From Hindi to Arabic, it supports multilingual text-and-image generation and comprehension, producing outputs that align with local cultural contexts.

🧩 Native agent architecture: It enables sophisticated multi-modal instruction parsing and tool collaboration, providing a powerful foundation for next-generation AI agents.