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Meta (Llama)text+image->text

Meta: 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 inputs (prompt classification) and in LLM responses (response classification). It acts as an LLM—generating text in its output that indicates whether a given prompt or response is safe or unsafe, and if unsafe, it also lists the content categories violated. Llama Guard 4 was aligned to safeguard against the standardized MLCommons hazards taxonomy and designed to support multimodal Llama 4 capabilities. Specifically, it combines features from previous Llama Guard models, providing content moderation for English and multiple supported languages, along with enhanced capabilities to handle mixed text-and-image prompts, including multiple images. Additionally, Llama Guard 4 is integrated into the Llama Moderations API, extending robust safety classification to text and images.

Context Window

164K

Input Price

$0.1800/M tokens

Output Price

$0.1800/M tokens

Modality

text+image->text

Pricing Breakdown
Cost per million tokens for input and output
Input$0.1800/M tokens
Output$0.1800/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.001980

Context Window Size
Maximum tokens the model can process in a single request
Context Window164K tokens
16% of 1M max

~123K

Words Equivalent

~82

Pages of Text

~1638

Code Functions

Best Use Cases
What this model excels at
WritingContent-creationVisionImage-analysisMultimodal

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