Experimental release (March 25th, 2025) of Gemini 2.5 Pro.
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1049K
Max Output
66K
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The creator's other models in the catalog, with their context, size and license where published.
Put this model beside its alternatives on the same evidence, or go back to the full catalog.
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Gemini Experimental 1206 advertises a context window of 1,048,576 tokens, with a maximum output of 65,536 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. Gemini Experimental 1206 is a proprietary model (license: Proprietary): its weights are not distributed, and it runs only through Google's own API or a host with access to it.
Gemini Experimental 1206 accepts Image and 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 Gemini Experimental 1206 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; Gemini Experimental 1206 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.
Gemini Experimental 1206 cannot be self-hosted: its weights are not distributed. It is used through an API, either Google'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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