Llama 4 Scout

Llama 4 Scout is Meta's flagship model in the Llama family, representing the company's most capable offering for multimodal AI applications. Unlike previous Llama generations, Scout combines text and image processing capabilities in a single model architecture, positioning it as Meta's answer to other flagship multimodal models in the market. The model features a substantial 327,680 token context window, enabling it to process extensive documents, codebases, and image collections in a single session. Its multimodal architecture allows simultaneous processing of text and visual inputs, making it suitable for tasks requiring understanding of both textual content and visual information. Performance benchmarks show the model generates tokens at 133.36 tokens per second with a time-to-first-token of 473 milliseconds. Llama 4 Scout targets enterprise and research applications requiring sophisticated reasoning across text and visual modalities. As a flagship model, it competes directly with other leading multimodal models, though it notably lacks tool calling capabilities that some competing flagship models provide. The model represents Meta's shift toward more capable, multimodal AI systems while maintaining focus on reasoning and comprehension tasks.