Meta Llama: Llama Guard 4 12B
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Model Card
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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ChatMuse Wonder
Muse Wonder is a multimodal agent model from Meta Superintelligence Labs, built on Muse Spark and released on October 12, 2026. It accepts text, images, video, audio, and PDF input, returns text, and has a 1,048,576-token context window. It is designed for long, multi-step agent work such as coding, legal and financial documents, and tasks across several apps. It supports tool calling, structured output, and configurable reasoning effort. Meta reports 78.8 on DeepSWE 1.1 and 53.1 on SWE-Marathon, and Artificial Analysis gives it an Intelligence Index score of 52, up from 48 for Muse Spark 1.3. Its per-token price is below Claude Fable 5.1 ($10 input, $50 output), though Claude Opus 5.5 scores higher on the index and on OSWorld.
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Frequently Asked Questions
Llama Guard 4 12B is no longer available through Puter.js. Explore other AI models for alternatives.
| 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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