Using Llama 4 Scout 17B-16E Instruct on NVIDIA NIM

Implementation guide · Llama 4 · AI at Meta

ServerlessOpen Weights

NVIDIA NIM exposes Llama 4 Scout 17B-16E Instruct through model ID 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 NVIDIA NIM and generate an API key.
  2. 2
    Use the NVIDIA NIM SDK or REST API to call meta/llama-4-scout-17b-16e-instruct — see the documentation for request format.
  3. 3
    You'll be billed . See full pricing.
API PortalDocumentationPricing

Code Examples

See NVIDIA NIM documentation for integration details.

Pricing on NVIDIA NIM

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

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Provider

NVIDIA NIM

NVIDIA

Santa Clara, California, United States