A hyper-specialized, ultra-cheap safety classifier — indispensable in the right pipeline, useless outside of it.
Automated content safety screening and moderation for AI application pipelines at minimal cost.
Extremely low cost at $0.02/$0.06 per 1M tokens makes it viable for high-volume moderation tasks
Purpose-trained on MLCommons hazard taxonomy with strong classification accuracy for harmful content categories
128K context window allows screening of long conversations or documents in a single pass
Fast inference due to compact 8B parameter size, enabling real-time moderation with low latency
Not a general-purpose model — cannot generate text, answer questions, or assist with coding or writing tasks
See what Llama Guard 3 8B actually costs at your usage level
Based on Llama Guard 3 8B API pricing: $0.48/1M input · $0.03/1M 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 moderation for AI application pipelines at minimal cost.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Similar models worth checking before you commit.
Flexible open-weight model for teams that want control, portability, and solid general-purpose performance.
Pricing moves, ranking shifts, and capability updates.
Llama Guard 3 8B output pricing changed from $0.06/1M to $0.03/1M (↓ cheaper, 50% cut).
View modelLlama Guard 3 8B input pricing changed from $0.02/1M to $0.48/1M (↑ more expensive, 2300% increase).
View modelLlama Guard 3 8B is best for automated content safety screening and moderation for ai application pipelines at minimal cost.. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and very fast speed.
You need a general-purpose AI assistant for coding, writing, research, or any task beyond binary or categorical content safety classification.
Meta: Llama 3.1 8B Instruct 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 general-purpose AI assistant for coding, writing, research, or any task beyond binary or categorical content safety classification.
May produce false positives or miss nuanced edge cases compared to more sophisticated safety systems like Anthropic's Constitutional AI classifiers
Limited to safety classification use cases; deploying it outside moderation pipelines offers no value
Long-window open-weight model that handles large document sets at a low price point.
Meta's Llama 3.1 70B Instruct is a open-weight large language model with 70 billion parameters, fine-tuned for instruction following across coding, reasoning, and general-purpose tasks. It offers a strong balance of capability and cost at $0.40/1M tokens for both input and output.
Llama Guard 3 8B (Meta) is now indexed. A hyper-specialized, ultra-cheap safety classifier — indispensable in the right pipeline, useless outside of it.
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