Google 发布 Gemini Decisions API
Gemini Decisions API

Google 发布了多模态决策模型 Gemini Decisions API,支持文本、图像、音频、视频和 PDF,与 Jev 和 OpenAI 的决策模型类似,但更自信;每百万输入 token 价格为 10 美分,输出免费,比 Jev(4.2 美分/百万 token)和 OpenAI(同价)贵。
同一件事另外 6 家也报道了
- Google AI Blog··首发
- The Decoder··+2 小时 13 分
Google 推出 Gemini Decision 1 与 Gemini Decisions API,单次可处理 1000 个问题
新增信息:上下文窗口为1M;API每百万输入token收费2.00美元
- MarkTechPost··+3 小时 22 分
Google 发布 Gemini Decisions API 与 Gemini Decision 1,定价 $0.10/百万 token
- Simon Willison··+4 小时 3 分·当前阅读
Google 发布 Gemini Decisions API
新增信息:输出免费
- 36氪 · AI··+5 小时 34 分
- IT之家 · AI··+6 小时 56 分
- Latent Space··+11 小时 27 分
按发布时间排列 · 事件后续出现时自动追加 · 由模型根据各家标题与摘要比对
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
}
}来源: Simon Willison · simonwillison.net