The go-to cheap, fast content moderation layer for production LLM pipelines.
Automated content safety screening and policy enforcement in LLM-powered applications
Purpose-built for content moderation with fine-tuned safety classification accuracy
Extremely affordable at $0.18/1M tokens, making high-volume content screening economically viable
163K context window allows screening of long conversations or documents in a single pass
Multimodal guard capabilities in v4 — can evaluate both text and image content for policy violations
Not a general-purpose model — cannot be used for coding, writing, or reasoning tasks
See what Meta: Llama Guard 4 12B actually costs at your usage level
Based on Meta: Llama Guard 4 12B API pricing: $0.18/1M input · $0.18/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
→0% since May 9
4 data points · tracked daily since May 9, 2026
Automated content safety screening and policy enforcement in LLM-powered applications. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
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Flexible open-weight model for teams that want control, portability, and solid general-purpose performance.
Pricing moves, ranking shifts, and capability updates.
Meta: Llama Guard 4 12B (Meta) is now indexed. The go-to cheap, fast content moderation layer for production LLM pipelines.
View modelMeta: Llama Guard 4 12B is best for automated content safety screening and policy enforcement in llm-powered applications. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and very fast speed.
You need a model for general tasks like writing, coding, or reasoning — this is a safety classifier, not a conversational or generative AI.
Google: Gemma 2 9B is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
Llama 4 Maverick is the better pick when response time matters more than maximum depth or premium quality.
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You need a model for general tasks like writing, coding, or reasoning — this is a safety classifier, not a conversational or generative AI.
Classification decisions may still produce false positives/negatives requiring human review pipelines
Narrower applicability than generalist safety layers built into Claude Sonnet 4.6 or GPT-5.4
Long-window open-weight model that handles large document sets at a low price point.
Llama Guard 3 8B is a specialized safety classifier built on Meta's Llama 3 architecture, designed to detect and categorize harmful or policy-violating content in both user inputs and model outputs. It is purpose-built for content moderation pipelines, not general-purpose text generation.
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