OpenAIGPT Realtime 2
OpenAI's GPT-REALTIME-2 is an audio model capable of processing multiple input types, including audio, image, and text. It is genuinely best at handling diverse input formats, making it suitable for applications that require multimodal processing.
Input
Output
Context
128K
Max Output
32K
Parameters
-
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Frequently asked questions about GPT Realtime 2
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
GPT Realtime 2 advertises a context window of 128,000 tokens, with a maximum output of 32,000 tokens in a single response. The figure is the creator's published maximum; a given provider may serve less, and the gateway routes on what each provider actually serves.
No. GPT Realtime 2 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.
GPT Realtime 2 accepts Text, Image and Audio and produces Text and Audio. 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 Realtime 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 Realtime 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 Realtime 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, provider APIs and benchmark publishers, each tagged with its source.
Last updated: Nov 3, 2026
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