O3 2025 04 16
OpenAI's O3 2025 04 16 is a chat model capable of processing image and text inputs, with notable strengths in chain_of_thought and reasoning tasks. Its large context window of 200,000 tokens allows for complex and nuanced conversations.
Input
Output
Context
200K
Max Output
100K
Parameters
-
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Frequently asked questions about O3 2025 04 16
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
O3 2025 04 16 advertises a context window of 200,000 tokens, with a maximum output of 100,000 tokens in a single response. The figure is the creator's published maximum; a given host may serve less, and the gateway routes on what each host actually serves.
No. O3 2025 04 16 is a proprietary model (license: Proprietary): its weights are not distributed, and it runs only through OpenAI's own API or a host with access to it.
O3 2025 04 16 accepts Image and Text 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 O3 2025 04 16 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; O3 2025 04 16 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.
O3 2025 04 16 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, host APIs and benchmark publishers, each tagged with its source.
Last updated: Aug 28, 2026
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