Meta: Llama 4 Scout

meta-llama/llama-4-scout

Created Apr 5, 20251,048,576 context

$0.08/M input tokens$0.30/M output tokens

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.

Providers for Llama 4 Scout

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Apps using Llama 4 Scout

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Uptime stats for Llama 4 Scout

Uptime stats for Llama 4 Scout across all providers

Sample code and API for Llama 4 Scout

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OpenRouter provides an OpenAI-compatible completion API to 400+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

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Using third-party SDKs

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See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.

Llama 4 Scout - API, Providers, Stats | OpenRouter