Cheapest AI API for Content Moderation
Find the cheapest AI API for content moderation and safety. Compare 42 models for UGC filtering, chat moderation, and policy enforcement.
Calculate Your Moderation Cost
Enter your moderation workload to see the cheapest models for your platform.
Moderation API Cost Ranking
Every model ranked by cost for a typical moderation workload: 10,000 items/day, 500 input / 100 output tokens per item.
Top Picks by Volume
Strategy: Two-Stage Moderation Pipeline
Most platforms can save 80-95% by using a two-stage moderation pipeline: cheap auto-approve for obvious passes, LLM only for borderline content.
This two-stage approach saves 94% compared to running everything through Claude Haiku. The key insight: most user content is clearly safe or clearly violating โ only 5-20% needs nuanced AI judgment.
Moderation-Specific Considerations
- Free tier exists: OpenAI's Moderation API is free and covers hate, harassment, self-harm, and sexual content. Use it as a first pass before spending on LLMs.
- Latency matters for real-time: Chat moderation needs sub-200ms responses. Budget models (Flash, DeepSeek) are optimized for speed. Batch processing is 50%+ cheaper but adds latency.
- False positives are costly: Over-moderating (removing legitimate content) frustrates users. Test each model's precision/recall on your specific content before deploying.
- Custom policies need LLMs: Built-in moderation endpoints only cover standard categories. For brand safety, off-topic filtering, or custom community guidelines, you need a general-purpose LLM.
- Batch for non-real-time: If you can tolerate 1-5 minute delays (forum posts, reviews, listings), batch processing via async APIs saves 50%+ on moderation costs.
Find the cheapest model for your moderation workload
Enter your item volume to see all 42 models ranked by cost. Free, no signup.
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