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Llama 4 Scout

META-LLAMA Developer Architecture Profile

Intelligence (ELO)1050Chatbot Arena Verified
Max Context327,680Tokens
API Cost / 1M$0.38Blended Prompt + Completion

Model Capabilities

    Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input (text and image) and multilingual output (text and code) across 12 supported languages. Designed for assistant-style interaction and visual reasoning, Scout uses 16 experts per forward pass and features a context length of 10 million tokens, with a training corpus of ~40 trillion tokens. Built for high efficiency and local or commercial deployment, Llama 4 Scout incorporates early fusion for seamless modality integration. It is instruction-tuned for use in multilingual chat, captioning, and image understanding tasks. Released under the Llama 4 Community License, it was last trained on data up to August 2024 and launched publicly on April 5, 2025.

    Granular Pricing Matrix

    Input Tokens (Prompt)$0.08 / 1M
    Output Tokens (Completion)$0.30 / 1M

    Pricing data via OpenRouter. Sync: 3/16/2026

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