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Llama 4 Scout

Rank #133 meta-llama

meta-llama/llama-4-scout-17b-16e-instruct

Usage data date 2026-07-26 · updated daily

Usage and specs

Daily rank#133
Daily tokens12.1B
Daily requests5.5M
Daily change −6.3%
Context window10M
Released

What is Llama 4 Scout

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.

Llama 4 Scout capabilities

Input: Text、Image   Output: Text

JSON output Structured outputs Tool choice Tool use Knowledge cutoff 2024-08-31

Llama 4 Scout API pricing

Input · per 1M tokens$0.10
Output · per 1M tokens$0.30

USD list-price snapshot, not independently verified; confirm current pricing and terms on the provider site before purchase.

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