OpenAIGPT-3.5 Turbo 16K
GPT-3.5 Turbo-16K is a chat model developed by OpenAI, capable of handling complex inputs with its large context window of 16,385 tokens. It is genuinely best at processing and responding to lengthy, detailed text-based inputs, and also features advanced capabilities such as function calling and JSON mode.
Input
Output
Context
16K
Max Output
4K
Parameters
-
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Resources & Links
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Frequently asked questions about GPT-3.5 Turbo 16K
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
GPT-3.5 Turbo 16K advertises a context window of 16,385 tokens, with a maximum output of 4,096 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-3.5 Turbo 16K 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-3.5 Turbo 16K 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-3.5 Turbo 16K 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-3.5 Turbo 16K 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-3.5 Turbo 16K 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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