LLM Reference
Cloudflare Workers AI

Using Llama 4 Scout 17B-16E Instruct on Cloudflare Workers AI

Implementation guide · Llama 4 · AI at Meta

ServerlessOpen Weights

Cloudflare Workers AI exposes Llama 4 Scout 17B-16E Instruct through model ID @cf/meta/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 Cloudflare Workers AI and generate an API key.
  2. 2
    Use the Cloudflare Workers AI SDK or REST API to call @cf/meta/llama-4-scout-17b-16e-instruct — see the documentation for request format.
  3. 3
    You'll be billed $0.27/1M input, $0.85/1M output tokens. See full pricing.
API PortalDocumentationPricingModel Card

Code Examples

See Cloudflare Workers AI documentation for integration details.

Pricing on Cloudflare Workers AI

TypePrice (per 1M)
Input tokens$0.27
Output tokens$0.85

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.

Full model details →

Model Specs

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

Also available on(11)

OpenRouter$0.08/1MDeepInfra$0.08/1MGroqCloud$0.11/1M
Compare all providers →

Provider

Cloudflare Workers AI
Cloudflare Workers AI

Cloudflare

San Francisco, California, United States