双子座决策 API
原文：Gemini Decisions API
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Gemini Decisions API Google 通过“Gemini Decision 1”将 Jev 和 OpenAI 纳入决策模型类别。这个新模型 API 与 Jev 几乎相同：它支持相同的三种类型的问题（是/否、选择和评分标准），甚至重复使用 Jev 的术语“Noul”来表示是/否问题。它的定价与 GPT-6 Luna 决策模型相同：每百万个输入代币 10 美分，输出免费
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 }
} Posted 11th November 2026 at 10:03 pm
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