LLM Reference

Using Llama 4 Maverick 17B Instruct FP8 on Inceptron

Implementation guide · Llama 4 · AI at Meta

ServerlessOpen Weights

Inceptron exposes Llama 4 Maverick 17B Instruct FP8 through model ID llama-4-maverick-17b-128e-instruct-fp8. 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 Inceptron and generate an API key.
  2. 2
    Use the Inceptron SDK or REST API to call llama-4-maverick-17b-128e-instruct-fp8.
API PortalModel Card

Code Examples

Code examples for this provider have not been sourced yet.

Pricing on Inceptron

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.

Full model details →

Model Specs

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

Also available on(10)

OpenRouter$0.15/1MDeepInfra$0.15/1MAWS Bedrock$0.24/1M
Compare all providers →

Provider

Inceptron