OpenAIDavinci 002
Davinci 002 is a chat model developed by OpenAI, capable of completing text inputs within a substantial context window of 16,384 tokens. It is genuinely best at handling complex, lengthy conversations due to its large context window.
Input
Output
Context
16K
Max Output
16K
Parameters
-
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Frequently asked questions about Davinci 002
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Davinci 002 advertises a context window of 16,384 tokens, with a maximum output of 16,384 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. Davinci 002 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.
Davinci 002 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 Davinci 002 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; Davinci 002 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.
Davinci 002 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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