Using Llama Guard 3 8B on OpenRouter

Implementation guide · Llama Guard · AI at Meta

ServerlessOpen Weights

OpenRouter exposes Llama Guard 3 8B through model ID meta-llama/llama-guard-3-8b. 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-guard-3-8b — see the documentation for request format.
  3. 3
    You'll be billed $0.48/1M input, $0.03/1M output tokens. See full pricing.

Code Examples

See OpenRouter documentation for integration details.

Pricing on OpenRouter

TypePrice (per 1M)
Input tokens$0.48
Output tokens$0.03

Capabilities

Structured Outputs

About Llama Guard 3 8B

Llama Guard 3 8B is a specialized large language model developed by Meta for content safety classification. Fine-tuned from Llama 3.1, this 8-billion parameter model excels in moderation tasks, classifying both inputs and outputs across 14 hazard categories based on the MLCommons taxonomy. It supports multiple languages, including English, French, German, Hindi, Italian, Portuguese, Spanish, and Thai. Designed for AI engineers focusing on safe and responsible AI systems, Llama Guard 3 offers improved accuracy and reduced false positive rates in identifying unsafe content, making it a valuable tool for developing robust content moderation systems in conversational AI applications .

Model Specs

Released2024-07-23
Parameters8B
Context8k
ArchitectureDecoder Only
Knowledge cutoff2023-12

Provider

OpenRouter

OpenRouter, Inc.

New York, NY, USA