LLM Reference
Microsoft Foundry

Using Llama 4 Scout 17B-16E Instruct on Microsoft Foundry

Implementation guide · Llama 4 · AI at Meta

ServerlessOpen Weights

Microsoft Foundry exposes Llama 4 Scout 17B-16E Instruct through model ID llama-4-scout-17b-16e-instruct. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-07-09. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Microsoft Foundry and generate an API key.
  2. 2
    Use the Microsoft Foundry SDK or REST API to call llama-4-scout-17b-16e-instruct — see the documentation for request format.
  3. 3
    You'll be billed $0.20/1M input, $0.78/1M output tokens. See full pricing.

Code Examples

See Microsoft Foundry documentation for integration details.

Pricing on Microsoft Foundry

TypePrice (per 1M)
Input tokens$0.20
Output tokens$0.78

Capabilities

VisionMultimodalStructured Outputs

About Llama 4 Scout 17B-16E Instruct

Meta's Llama 4 Scout is a 17-billion parameter mixture-of-experts model with 16 expert routing. Optimized for efficient inference on edge and cloud environments with strong multi-turn conversation capabilities. Available on Cloudflare Workers AI.

Model Specs

Released2025-04-05
Parameters109B (17B active)
Context10m
ArchitectureMixture of Experts
Knowledge cutoff2024-08

Provider

Microsoft Foundry
Microsoft Foundry

Microsoft

Redmond, Washington, United States