Llama Guard
Meta's open-weight safety classifier
Overview
Llama Guard is Meta's open-weight content-safety classifier — runs alongside any LLM to filter unsafe prompts and responses. The most widely-used open-source guardrail model. Llama license.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 20 May 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
Use cases
ASEAN Perspective
Llama Guard in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Llama Guard is a specialised open-weight classifier for moderating LLM inputs and outputs against a configurable taxonomy of harm categories. It is a practical, customisable guardrail layer for teams building on open models, and being self-hostable it keeps moderation data in-house — a real advantage over closed moderation APIs.
It suits ML engineers and platform teams shipping LLM apps who need filtering they can tune and audit. Caveats: it is a developer building block, not a turnkey product, so you must integrate, evaluate, and maintain it; coverage and accuracy vary by language and edge case; and it should be one layer in a defence-in-depth stack, not the sole safety control. Access is via weights/third-party hosts rather than a Meta-run API.
About this listing
This entry was compiled from publicly available data including Llama Guard's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Llama Guard unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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