llmreference
OpenRouter

Using Llama Guard 3 8B on OpenRouter

Implementation guide · Llama Guard · AI at Meta

ServerlessOpen Source

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.

About OpenRouter

OpenRouter provides a unified interface for Large Language Models with better pricing, improved uptime, and no subscription requirements. Route across providers for cost optimization and reliability.

OpenRouter is a multi-provider LLM aggregator offering unified API access to 300+ models from all major labs and emerging providers, with automatic failover for reliability.

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

OpenRouter, Inc.

New York, NY, USA