Llama 4 Scout
Meta
Overview
A balanced multimodal mixture-of-experts model from Meta with a 10,000,000-token context window, offering comprehensive document processing capabilities. It provides strong multimodal understanding of text and images with 17 billion active parameters across 16 expert modules. This model delivers excellent performance for general applications requiring robust reasoning and image analysis.
Key Strengths
Capabilities
Categories
Specifications
Context Size
10,000,000 tokens
Pricing
Documentation
View DocumentationOther models you might be interested in
GPT-4o
OpenAI
OpenAI's most advanced multimodal model, capable of processing and generating text, images, and potentially other data types in real-time. It features a 128,000-token context window, delivering improved reasoning, reduced latency, and enhanced instruction-following compared to previous models. GPT-4o achieves state-of-the-art performance across benchmarks like MMLU and excels in applications requiring real-time interaction, such as conversational agents, creative writing, and multimodal analysis.
GPT-4o Mini
OpenAI
A compact, cost-efficient variant of GPT-4o, retaining 70% of its multimodal performance with a 128,000-token context window. It supports text generation, image understanding, and code generation at a fraction of the cost, making it ideal for budget-conscious applications like lightweight chatbots, content generation, and educational tools. GPT-4o Mini balances performance and affordability while maintaining strong reasoning capabilities.
O3 Mini
OpenAI
A highly efficient, affordable model designed for everyday tasks, featuring a 32,000-token context window. O3 Mini excels in rapid text and code generation with basic reasoning capabilities, making it perfect for high-volume applications such as customer support chatbots, automated responses, and simple scripting tasks. Its low cost and fast processing speed ensure scalability for routine operations.