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Meta: Llama 4 Scout

MetaยทText Generation
๐Ÿ”ฅ 64trending

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.

#text+image->text#top-provider
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Undisclosed

Parameters

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328K tokens

Context Window

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Proprietary

License

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Apr 5, 2025

Released

๐Ÿ’ฐ Pricing

Input

$0.08

per 1M tokens

Output

$0.30

per 1M tokens

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API Available

This model is accessible via API for integration into your applications.