OpenAIOmni Moderation 2024-09-26
OpenAI's Omni Moderation 2024 09 26 is a moderation model designed to handle content moderation tasks, accepting text inputs. It is genuinely best at processing and evaluating large amounts of text due to its context window of 32,768 tokens.
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Frequently asked questions about Omni Moderation 2024-09-26
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
OpenAI has not published a context window for Omni Moderation 2024-09-26, so the catalog shows it as not available rather than estimating one.
No. Omni Moderation 2024-09-26 is a proprietary model (license: Proprietary): its weights are not distributed, and it runs only through OpenAI's own API or a provider licensed to serve it.
Omni Moderation 2024-09-26 accepts Text and Image and produces Text. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
No published benchmark result for Omni Moderation 2024-09-26 is in the catalog yet, so the model is shown as unmeasured. It is not ranked or estimated; the router treats it as unknown for every task until a suite measures it.
Not on the managed pool today; Omni Moderation 2024-09-26 is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
Omni Moderation 2024-09-26 cannot be self-hosted: its weights are not distributed. It is used through an API, either OpenAI's own or the Inferbase gateway where it is served.
Fields collected from public registries, provider APIs and benchmark publishers, each tagged with its source.
Last updated: Nov 3, 2026
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