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OpenAI Moderation

Default first-pass content filter for agent I/O. Pair with Llama Guard (Groq) or NeMo Guardrails when you…

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Default first-pass content filter for agent I/O. Pair with Llama Guard (Groq) or NeMo Guardrails when you need open/custom policies. Strengths: Free, fast, zero infra; Text + image multimodal classification; Inline with generation APIs.

Overall
8.6
curated_estimate
confidence: high · as of 2026-09-14
Capability fit
8.2
Price / performance
9.8
Latency / reliability
9.2
Developer & agent DX
9.4
Privacy / data retention
7.5
Lock-in risk (higher = worse)
5.5
Maturity / track record
9.5

Lock-in risk: higher = more lock-in (worse). Overall already inverts this dimension.

Sources: OpenAI Moderation guide: https://developers.openai.com/api/docs/guides/moderation · Moderation API: https://platform.openai.com/docs/guides/moderation

Default first-pass content filter for agent I/O. Pair with Llama Guard (Groq) or NeMo Guardrails when you need open/custom policies.

Strengths

  • · Free, fast, zero infra
  • · Text + image multimodal classification
  • · Inline with generation APIs

Weaknesses

  • · Fixed OpenAI taxonomy — not your policy engine
  • · Cannot self-host or fine-tune categories
  • · Audio not classified

Pricing notes

As of 2026-09-14: Free moderation endpoint — omni-moderation-latest for text+images (images ≤20 MB). Also inline moderation on Responses/Chat Completions via moderation.model. Categories include hate, harassment, self-harm, sexual, violence, illicit, etc. Not customizable / not self-hostable.

Regions: global, usLast reviewed: 2026-09-14Status: active

Sourced pricing

Contract status unit_mismatch · unit_mismatch. Single normalized $/1M: null. Machine list: /api/pricing?provider=openai-moderation

  • omni-moderation-latest (moderation endpoint) · usd_per_1k_requests · $0 · unit_mismatch · normalized null

Community signals

Insight claims only — never mutate official scores. Outside reports: 0; seed examples: 0.

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