---
title: Llama Guard 4 12B — AI Safety Guard | ModelsLab
description: Deploy Meta: Llama Guard 4 12B API to classify text and images for LLM safety. Filter prompts and responses across 12 languages. Try multimodal moderati...
url: https://modelslab.com/meta-llama-guard-4-12b
canonical: https://modelslab.com/meta-llama-guard-4-12b
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T02:03:36.352324Z
---

Available now on ModelsLab · Language Model

Meta: Llama Guard 4 12B
Guard LLMs Multimodally
---

[Try Meta: Llama Guard 4 12B](/models/open_router/meta-llama-llama-guard-4-12b) [API Documentation](https://docs.modelslab.com)

Classify Safely. Deploy Fast.
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Multimodal Detection

### Text and Image Safety

Classifies text and images in LLM prompts and responses using MLCommons taxonomy.

Input Output Filter

### Prompt Response Guard

Filters user inputs and model outputs to block unsafe content categories.

12B Dense Architecture

### 164K Token Context

Handles long conversations and multiple images via Llama 4 Scout base.

Examples

See what Meta: Llama Guard 4 12B can create
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Copy any prompt below and try it yourself in the [playground](/models/open_router/meta-llama-llama-guard-4-12b).

Tech Review Check

“Classify this product review text for safety: 'This gadget changes everything for developers building secure AI apps.' Include violation categories if unsafe.”

Code Snippet Scan

“Evaluate this code comment for LLM safety: '// Efficient algorithm for data processing in safety classifiers.' List any hazards detected.”

Doc Summary Filter

“Check this abstract for content safety: 'Transformer models enable multimodal classification across languages.' Flag violations per MLCommons.”

API Log Audit

“Analyze this log entry: 'API call succeeded with 163K token context.' Determine if safe for deployment.”

For Developers

A few lines of code.
Safety check. One call.
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ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

- **Serverless:** scales to zero, scales to millions
- **Pay per token,** no minimums
- **Python and JavaScript SDKs,** plus REST API

[API Documentation ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())</code>
```

FAQ

Common questions about Meta: Llama Guard 4 12B
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[Read the docs ](https://docs.modelslab.com)

### What is Meta: Llama Guard 4 12B?

### How does Meta: Llama Guard 4 12B API work?

### What is Meta: Llama Guard 4 12B alternative?

### Is Meta: Llama Guard 4 12B LLM multimodal?

### What context supports meta llama guard 4 12b?

### How to integrate meta: llama guard 4 12b api?

Ready to create?
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Start generating with Meta: Llama Guard 4 12B on ModelsLab.

[Try Meta: Llama Guard 4 12B](/models/open_router/meta-llama-llama-guard-4-12b) [API Documentation](https://docs.modelslab.com)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-04-15*