New generation Scout and Maverick models that seamlessly blend text, images, and video processing.
Meta's Llama 4 Scout and Maverick don't just understand your words, it gets your visuals too. This isn't your typical model upgrade; it's the first time Llama can natively process images alongside text, no bolt-on vision modules required.
Discover how OpenAI's emotionally intelligent model changes operations across industries.
can analyze inventory data, sales patterns, customer feedback, and market trends to generate actionable insights and automate inventory management tasks. For example, a retail distributor could implement a Llama 4-powered system that continuously monitors stock levels across warehouses, predicts demand fluctuations based on multiple data sources, and automatically generates purchase orders when needed.
Llama 4 Scout with its 10 million token context window, excel at analyzing vast document repositories. Businesses can implement solutions that scan, analyze, and extract insights from entire SharePoint libraries, multi-thousand-page technical manuals, or years of financial reports. For example, legal firms can use Llama 4 to summarize case documents, identify precedents, and extract key contractual clauses across thousands of pages simultaneously.
Llama 4 Maverick supports 12 languagesCompaies can deploy AI assistants that understand both text and images uploaded by customers, providing 24/7 technical support across language barriers. These systems can analyze product images to identify issues, reference technical documentation, and provide step-by-step troubleshooting guidance in the customer's native language.
Scout is designed for efficiency and long-context processing with impressive specifications:
• 17 billion active parameters with 16 experts (109 billion total parameters)
• Industry-leading 10 million token context window, dramatically larger than Llama 3's 128K tokens
Its name reflects its purpose - a diligent "scout" that traverses vast information landscapes and returns with the highlights or answers needed. Despite its efficiency, Scout delivers state-of-the-art performance for its class, outperforming previous Llama 3 models
Maverick is the more powerful model with greater multimodal capabilities:
• 17 billion active parameters with 128 experts (400 billion total parameters)
• 1 million token context window
Maverick excels at image and text understanding through early fusion for native multimodality and particularly strong in visual recognition, image reasoning, captioning, and answering questions about images.
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