Meta Llama

Meta Llama: Llama Guard 4 12B

meta-llama/llama-guard-4-12b

Access Llama Guard 4 12B from Meta Llama using Puter.js AI API.

Get Started 
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "meta-llama/llama-guard-4-12b"
}).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", {
            model: "meta-llama/llama-guard-4-12b"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.puter.com/puterai/openai/v1/",
    api_key="YOUR_PUTER_AUTH_TOKEN",
)

response = client.chat.completions.create(
    model="meta-llama/llama-guard-4-12b",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ],
)

print(response.choices[0].message.content)

curl https://api.puter.com/puterai/openai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
  -d '{
    "model": "meta-llama/llama-guard-4-12b",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

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 N/A

tokens

Input Cost $0.18

per million tokens

Output Cost $0.18

per million tokens

Release Date Apr 30, 2025

 

Model Playground

Try Llama Guard 4 12B instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat meta-llama/llama-guard-4-12b
Meta Llama
Chat with Llama Guard 4 12B
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Frequently Asked Questions

How do I use Llama Guard 4 12B?

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.

Is Llama Guard 4 12B free?

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.

What is the pricing for Llama Guard 4 12B?
Pricing for Llama Guard 4 12B is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$0.18
Output$0.18
Who created Llama Guard 4 12B?

Llama Guard 4 12B was created by Meta Llama and released on Apr 30, 2025.

What is the context window of Llama Guard 4 12B?

Llama Guard 4 12B supports a context window of 164K tokens. For reference, that is roughly equivalent to 328 pages of text.

Does it work with React / Vue / Vanilla JS / Node / etc.?

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.

Get started with Puter.js

Add Llama Guard 4 12B to your app without worrying about API keys or setup.

Read the Docs View Tutorials