Using Llama 4 Maverick 17B Instruct FP8 on OpenRouter

Implementation guide · Llama 4 · AI at Meta

ServerlessOpen Weights

OpenRouter exposes Llama 4 Maverick 17B Instruct FP8 through model ID meta-llama/llama-4-maverick. 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 OpenRouter and generate an API key.
  2. 2
    Use the OpenRouter SDK or REST API to call meta-llama/llama-4-maverick — see the documentation for request format.
  3. 3
    You'll be billed $0.15/1M input, $0.60/1M output tokens. See full pricing.

Code Examples

See OpenRouter documentation for integration details.

Pricing on OpenRouter

TypePrice (per 1M)
Input tokens$0.15
Output tokens$0.60

Capabilities

VisionMultimodalStructured Outputs

About Llama 4 Maverick 17B Instruct FP8

Meta's Llama 4 Maverick 17B with 128 experts, FP8-optimized for cost-efficient inference. Supports native Model Router integration on Microsoft Foundry.

Model Specs

Released2025-04-05
Parameters400B (17B active)
Context1m
ArchitectureMixture of Experts
Knowledge cutoff2024-08

Provider

OpenRouter

OpenRouter, Inc.

New York, NY, USA