All Models

Llama 4 Scout

llama Tool Calling Attachments Structured Output

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 1
Released Sep 5, 2025
Input Modalities text, image
Output Modalities text
Tarsk Use coding

Available Providers (1)

Provider Model ID Input Cost Output Cost Context Max Output Docs
NanoGPT meta-llama/llama-4-scout $0.09/MTok $0.46/MTok 328K 65.5K

Capabilities

Reasoning
Tool Calling
Attachments
Open Weights
Structured Output