Meta: 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.
Pricing
Specifications
Strategic Analysis 🔒
Unlock vCAIO insights to make better model decisions:
- Governance Risk Rating (Low / Medium / High)
- Quality Tier Classification
- Best Use Cases & Tags
- Strategic Verdict from vCAIO
- AI-Verified Fit Scoring
Not sure if this model fits your use case?
Describe your task and get AI-verified recommendations in seconds.
Other Meta Models
Pricing last updated: Invalid Date