ChatGPTKey Features of Llama 4
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Natively Multimodal
Built with early fusion of text and vision inputs, enabling seamless multimodal understanding from pretraining. -
Mixture-of-Experts Architecture
Efficiently routes compute through expert pathways, boosting performance without increasing cost. -
Unrivaled Context Window
Up to 10 million tokens, ideal for long document processing, memory-heavy tasks, and advanced retrieval-augmented generation. -
Optimized for Cost and Performance
Deploy models like Llama 4 Scout on a single H100 GPU, offering enterprise-grade power at developer-friendly efficiency. -
Fast App Deployment
With the Llama API and Llama Stack, go from idea to deployment in minutes—no complex infrastructure required. -
Multilingual Proficiency
Strong performance across a wide range of languages for writing, translation, and global communication. -
Advanced Visual Intelligence
Industry-leading accuracy in grounding text with images, ideal for OCR, document parsing, and vision-language tasks. -
Distilled Intelligence
Models like Scout and Maverick benefit from Behemoth’s large-scale training, offering cutting-edge reasoning in lighter footprints.
Introducing Llama 4: A New Era in AI Intelligence
Llama 4 is here, and it marks a major leap forward in AI capabilities. Designed from the ground up to be faster, smarter, and more scalable than ever, this generation of models brings together advanced reasoning, unparalleled multimodal intelligence, and deployment-ready tools that are easy to integrate into any stack.
Whether you're working on an experimental project or building for a billion users, Llama 4 provides the intelligence and efficiency needed to unlock what’s next in AI.
Native Multimodality, Unmatched Efficiency
At the heart of Llama 4 is its natively multimodal architecture. Rather than bolting together separate models for text and images, Llama 4 uses early fusion of vision and language inputs during pretraining. This design results in more coherent reasoning, better visual grounding, and more natural interaction across modalities.
Multimodality isn't a side feature—it’s core to how Llama 4 learns and responds. From document analysis to image comprehension, it handles complex inputs with ease and intelligence.
Meet the Models: Scout, Maverick, and Behemoth
Llama 4 isn’t just a single model—it’s a family of optimized AI systems tailored for different needs.
Llama 4 Scout is the high-efficiency workhorse, offering powerful text and visual capabilities, long context support, and cost-effective deployment on a single H100 GPU. Ideal for large-scale document processing or multimodal apps, Scout brings cutting-edge performance without heavy resource demands.
Llama 4 Maverick pushes the limits of speed and value, delivering top-tier performance in both text and image understanding. Its responsiveness and low cost make it a great fit for dynamic, user-facing applications.
Llama 4 Behemoth is the teacher behind the scenes—an early preview of the large-scale model used to distill intelligence into Scout and Maverick. While still in training, it hints at the depth of reasoning and knowledge that fuels the entire Llama 4 generation.
Built for Builders
Llama 4 is more than just a set of models—it’s a complete platform for developers. The Llama API and Llama Stack provide everything you need to go from idea to deployment in minutes. With built-in performance optimizations and tools that scale with your needs, it’s never been easier to build intelligent applications.
What stands out about Llama 4 is how accessible it is. You don’t need to be a machine learning expert to start building with world-class AI. The stack is engineered to make high performance and low cost work together, helping you focus on product and impact—not infrastructure.
Intelligence at Scale
From multilingual writing to expert image grounding and long-context comprehension, Llama 4 leads across benchmarks in reasoning, knowledge, and vision. Whether your use case involves analyzing lengthy documents, interpreting complex visuals, or serving users across languages, Llama 4 meets the challenge.
This isn’t incremental progress—it’s a foundational shift in what developers can expect from open AI models.
Ready to build? Explore Llama 4 and see what’s possible when speed, scale, and intelligence come together.
