Llama Guard 3 8B

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

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