Meta Llama: Llama Guard 4 12B
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Llama Guard 4 12B is Meta's 12 billion parameter multimodal safety model that moderates both text and image inputs across 12 languages. It was built from Llama 4 Scout and detects violations based on the MLCommons hazard taxonomy.
Context Window 164K
tokens
Max Output 16K
tokens
Input Cost $0.18
per million tokens
Output Cost $0.18
per million tokens
Input text, image
modalities
Tool Use No
Release Date Apr 30, 2025
Code Example
Add AI to your app with the Puter.js AI API — no API keys or setup required.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms").then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms").then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
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Frequently Asked Questions
You can access Llama Guard 4 12B by Meta Llama through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Llama Guard 4 12B to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.18 |
| Output | $0.18 |
Llama Guard 4 12B was created by Meta Llama and released on Apr 30, 2025.
Llama Guard 4 12B supports a context window of 164K tokens. For reference, that is roughly equivalent to 328 pages of text.
Llama Guard 4 12B can generate up to 16K tokens in a single response.
Llama Guard 4 12B accepts the following input types: text, image. It produces: text.
No, Llama Guard 4 12B does not currently support tool use (function calling).
Yes — the Llama Guard 4 12B API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
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