Using Llama 4 Scout 17B-16E Instruct on GroqCloud

Implementation guide · Llama 4 · AI at Meta

ServerlessOpen Weights

GroqCloud exposes Llama 4 Scout 17B-16E Instruct through model ID meta-llama/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 GroqCloud and generate an API key.
  2. 2
    Use the GroqCloud SDK or REST API to call meta-llama/llama-4-scout-17b-16e-instruct — see the documentation for request format.
  3. 3
    You'll be billed $0.11/1M input, $0.34/1M output tokens. See full pricing.
API PortalDocumentationPricingModel Card

Code Examples

See GroqCloud documentation for integration details.

Pricing on GroqCloud

TypePrice (per 1M)
Input tokens$0.11
Output tokens$0.34

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$0.08/1MAWS Bedrock$0.17/1M
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Provider

GroqCloud

Groq

Mountain View, California, United States