Simon Willison· Models· Nov 12, 2026, 06:03 GMT+8

Google releases Gemini Decision 1 API for decision-model tasks

Original title: Gemini Decisions API

Google released the Gemini Decision 1 API, joining Jev and OpenAI in the decision model category. It supports the same three question types as Jev (yes/no, choice, rubric-scoring) and reuses Jev's term "Noul" for yes/no questions. Pricing matches the GPT-6 Luna decision model at 10 cents per million input tokens with free output, while Jev remains cheapest at 4.2 cents. Unlike Jev (text and JSON only) and OpenAI (text and images), Gemini Decision 1 is fully multimodal across text, images, audio, video, and PDFs. Testing on a video with yes/no questions returned probabilities like 0.92 rather than the 1.0/0.0 values returned by Jev and OpenAI.

Why it matters

The author tested the model's yes/no outputs on the same video, offering a direct confidence comparison with Jev and OpenAI's decision models.

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Original article

11th November 2026 - Link Blog

Gemini Decisions API (via) Google join Jev and OpenAI in the decision model category with "Gemini Decision 1". This new model API is almost identical to Jev: it supports the same three types of questions (yes/no, choice, and rubric-scoring) and even reuses Jev's term "Noul" for a yes/no question.

It's priced the same as the GPT-6 Luna decision model: 10 cents per million input tokens, and output is free. Jev remains the cheapest of the three, at 4.2 cents per million.

Jev is text (and JSON) only. OpenAI can handle text and images. Gemini Decision 1 is fully multi-model: it covers text, images, audio, video, and PDFs.

I tested it against video by passing these questions to it along with my Yonkers stomping robot video file:

dragon: Does this video have a dragon in it?
robot: Does this video have a robot in it?
france: Is this video set in France?
usa: Is this video set in the USA?

Jev and OpenAI both return 1.0 or 0.0 for yes/no questions, but Gemini insists on being a little less confident than that:

{ "dragon": { "type": "yes_no", "probability": 0.04976021841520312 }, "robot": { "type": "yes_no", "probability": 0.9234055387792485 }, "france": { "type": "yes_no", "probability": 0.08329171353166241 }, "usa": { "type": "yes_no", "probability": 0.9230459995157706 } }

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