Gemini Decisions API
TL;DR · AI 摘要
Google推出Gemini Decision 1决策模型,支持多模态输入,价格与GPT-6 Luna相当,但比Jev贵。
核心要点
- Gemini Decision 1定价10美分/百万输入令牌,Jev仅需4.2美分,为最便宜决策模型
- Gemini支持文本/图像/音频/视频/PDF多模态输入,Jev和OpenAI仅支持文本
- 视频测试显示Gemini输出概率值(如0.923),而竞品仅返回0.0或1.0
结构提纲
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思维导图
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- Gemini Decision 1
- 功能特性
- 多模态支持(文本/图像/视频等)
- 概率输出(0.0-1.0)
- 市场定位
- 定价:10美分/百万输入
- 竞品对比:比Jev贵但功能更强
金句 / Highlights
值得收藏与分享的关键句。
Gemini Decision 1支持文本、图像、音频、视频和PDF的多模态输入,显著优于仅支持文本的Jev和OpenAI
在视频分析测试中,Gemini输出概率值(如robot:0.923),而Jev和OpenAI仅返回0.0或1.0
Jev以4.2美分/百万输入令牌的价格成为目前最经济的决策模型
Gemini Decisions API
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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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This is a link post by Simon Willison, posted on 11th November 2026 .
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