LLM Reference
Microsoft Foundry

Llama Guard 3 8B on Microsoft Foundry

Llama Guard · AI at Meta

ProvisionedOpen Weights

Last refreshed 2026-07-09. Next refresh: weekly.

Why use Llama Guard 3 8B on Microsoft Foundry?

Microsoft Foundry offers Llama Guard 3 8B with pay-as-you-go pricing at $0.37/1M input tokens. Microsoft Foundry is a unified Azure platform-as-a-service offering for enterprise AI operations, model builders, and application development.

Compare Llama Guard 3 8B across 5 providers to find the best fit for your use case
Input / 1M
$0.37
Output / 1M
$1.10
Cache
Not sourced
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: llama-guard-3-8b
Model ID
llama-guard-3-8b

Request example

Curated snippets for this provider are not sourced yet. Use Microsoft Foundry documentation with model ID llama-guard-3-8b.

Gotchas

No curated gotchas have been sourced for this exact provider/model route yet.

Compare Llama Guard 3 8B Across Providers

ProviderInput (per 1M)Output (per 1M)
Cloudflare Workers AI$0.48$0.03
Microsoft Foundry$0.37$1.10
OpenRouter$0.48$0.03
Fireworks AI$0.20$0.20
Replicate API$0.30$0.30

Pricing

TypePrice (per 1M)
Input tokens$0.37
Output tokens$1.10

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 .

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Model Specs

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