OpenAIGPT-3.5 Turbo
OpenAI's GPT-3.5 Turbo is a chat model capable of tasks such as code generation, function calling, and reasoning. It is notable for its large context window of 16,385 tokens, allowing it to process and respond to lengthy inputs.
Input
Output
Context
16K
Max Output
4K
Parameters
-
Technical Specifications
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Output Modalities
Capabilities
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Benchmarks
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Frequently asked questions about GPT-3.5 Turbo
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
GPT-3.5 Turbo 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 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 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.
GPT-3.5 Turbo has published results from Artificial Analysis, shown by suite in the benchmarks card above exactly as the publisher reported them. Scores are not combined across suites, and a suite that has not measured GPT-3.5 Turbo is shown as not available rather than estimated.
Not on the managed pool today; GPT-3.5 Turbo 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 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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