Llama Guard 4 12B
Meta • LLM
Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...
Specifications
Context Window
164K tokens
Input Price/1M
$0.18
Output Price/1M
$0.18
Parameters
—
Max Output
16K tokens
Information
- Release date
- April 30, 2025
- Tool Calling
- ❌ Not supported
- Vision
- ✅ Supported
- Audio
- ❌ Not supported
Full Analysis: Llama Guard 4 12B
What is Llama Guard 4 12B?
Llama Guard 4 12B is an AI model developed by Meta, classified as a large language model (LLM). It is a multimodal model, capable of processing text, images, and potentially other media types. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 164K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
Llama Guard 4 12B is usage-based, priced at $0.18/1M input tokens and $0.18/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
We don't have detailed benchmark results for Llama Guard 4 12B yet. Benchmarks are updated weekly as new data becomes available from sources like Artificial Analysis, LM Arena, and LiveBench.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Llama Guard 4 12B is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), image and visual document analysis (OCR, diagrams, screenshots), multimodal processing combining text and images, high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Llama Guard 4 12B competes directly with similarly capable models. As an open source model, it competes with Qwen (Alibaba), Mistral, and DeepSeek, as well as proprietary models like GPT, Claude, and Gemini. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Llama Guard 4 12B?
Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...
How much does Llama Guard 4 12B cost?
Llama Guard 4 12B costs $0.18/1M input tokens and $0.18/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Llama Guard 4 12B compare with other models?
We don't have detailed benchmarks for Llama Guard 4 12B yet. Check the main benchmark page to compare available models.
Is Llama Guard 4 12B open source?
Yes, Llama Guard 4 12B is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
What is Llama Guard 4 12B best for?
Llama Guard 4 12B excels at multimodal tasks including text and vision. With its large context window, it handles long documents, codebases, and extended conversations.
Last updated: June 01, 2026 • View methodology →