Skip to content
OpenRouterOpenRouter
© 2026 OpenRouter, Inc

Product

  • Chat
  • Rankings
  • Benchmarks
  • Apps
  • Discover
  • Models
  • Collections
  • Providers
  • Pricing
  • Enterprise
  • Labs

Company

  • About
  • Blog
  • Careers
    Hiring
  • Privacy
  • Terms of Service
  • Trust Center
  • Support
  • Works With OR
  • Data
  • Brand

Developer

  • Documentation
  • API Reference
  • Developer Platform
  • Status

Connect

  • Discord
  • GitHub
  • LinkedIn
  • X
  • YouTube
Favicon for meta-llama

Meta: Llama 4 Scout

meta-llama/llama-4-scout:free

Model weights

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.

Modalities

Price

Free

Context

10M

Released

Apr 5, 2025

Knowledge Cutoff

Aug 2024

ActivityFAQExplore

Activity

Token volume and request traffic to this model over time.

Explore more models

AI Models with Vision: Multimodal LLMs for Image UnderstandingCollectionAI Model RankingsRanking

Frequently asked questions

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.

Yes. The pricing shown on this page for Llama 4 Scout is zero, so you are not charged for prompt or completion tokens. Free endpoints are rate limited — see the rate limit docs.

Llama 4 Scout has a 10,000,000 token context window.

Llama 4 Scout accepts text and images as input and returns text.

Llama Guard 4 12B, Llama 4 Maverick, Llama 3.3 70B Instruct and 4 more are other text models from Meta Llama.

Llama 4 Scout was released on April 5, 2025. Its knowledge cutoff is August 31, 2024.