GPT-IMAGE-2 is a chat model developed by OpenAI, capable of generating images from text inputs. It is genuinely best at creating visual content based on user-provided text descriptions.
Input
Output
Context
256K
Max Output
8K
Parameters
-
Input Modalities
Output Modalities
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Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
GPT-IMAGE-2 advertises a context window of 256,000 tokens, with a maximum output of 8,192 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. GPT-IMAGE-2 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.
GPT-IMAGE-2 accepts Text and produces Image. 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 GPT-IMAGE-2 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; GPT-IMAGE-2 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.
GPT-IMAGE-2 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: Sep 13, 2026
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