GPT-4-1106 Preview
GPT-4-1106 Preview is a chat model developed by OpenAI, capable of processing a wide range of inputs, including text, and utilizing various features such as vision and function calling. It is genuinely best at handling complex conversations and tasks that require large context windows, thanks to its ability to process up to 128,000 tokens.
Input
Output
Context
128K
Max Output
4K
Parameters
-
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Frequently asked questions about GPT-4-1106 Preview
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
GPT-4-1106 Preview advertises a context window of 128,000 tokens, with a maximum output of 4,096 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-4-1106 Preview 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-4-1106 Preview accepts 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 GPT-4-1106 Preview 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-4-1106 Preview 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-4-1106 Preview 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 11, 2026
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