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Llama Guard 4 12B

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... Built by Meta.

Prices updated

Input price

$0.18

per 1M tokens · Standard

Output price

$0.18

per 1M tokens · Standard

Input limit

164K

tokens

Output limit

16K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF
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Llama Guard 4 12B price history

2 price records since 9/25/2026

Llama Guard 4 12B cost calculator

Input20M tokens
Output5M tokens

$4.50/month

Standard pricing

    Overview

    What is Llama Guard 4 12B?

    Llama Guard 4 12B is a text & reasoning and vision model from Meta. 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... Its 164K context window and $0.18 input price make it a candidate for cost-sensitive, high-throughput applications.

    Image understandingDocument analysisContent workflowsClassification

    Rates

    Llama Guard 4 12B pricing

    Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

    Input · Standard

    $0.18

    Per 1M tokens

    Cached input · Standard

    Not available

    No listed cached-input rate

    Capabilities

    Llama Guard 4 12B Tools

    Tools available when using Llama Guard 4 12B through supported provider APIs.

    Function calling

    Not supported

    Structured outputs

    Not supported

    JSON mode

    Not supported

    Reasoning

    Not supported

    Built-in web search

    Not supported

    Log probabilities

    Not supported

    Deterministic seed

    Supported

    Parallel tool calls

    Not supported

    Prompt caching

    Not supported

    Strengths and limitations

    Strengths

    • Low input cost at $0.18 per million tokens suits high-volume workloads.
    • A 164K context window covers most focused application workflows.
    • Supports text & reasoning and vision workloads in one model.

    Limitations

    • Real-world cost still depends on prompt length, response length and provider-specific billing rules.
    • The 164K context window is smaller than several long-context alternatives.
    • Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

    Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

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    Frequently asked questions about Llama Guard 4 12B

    Llama Guard 4 12B is a text & reasoning and vision model from Meta. 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...