Google Launches Gemini Decisions API for Batch Question Scoring

1. 13:26
   Latent Space

   Google Launches Gemini Decision 1 for Single-Pass Classification

   Google introduced Gemini Decision 1, a multimodal decision model that scores choices in a single pass. It supports up to 1,000 questions per request, returns answers in 150–250 ms end to end, and costs $0.10 per 1 million input tokens, with no charge for output. The project began as an internal Google DeepMind prototype, and a small team shipped the model and API about six weeks later.

2. 06:39
   BaoyuPicks

   Google Launches Gemini Decisions API for Scoring Up to 1,000 Questions

   Google launched the Gemini Decisions API with its Gemini Decision 1 model, which returns answers and confidence scores instead of generated text. A request can include up to 1,000 questions about text, images, audio, video, or PDFs; input costs $0.10 per million tokens, with no charge for output tokens. The post compares its limits, features, and Google-reported benchmark results with OpenAI's Decisions API and TypeSafe's Jev 1.14.

3. 06:03
   Simon Willison

   Simon Willison Compares Google’s Gemini Decision 1 API

   Simon Willison reports that Google has joined Jev and OpenAI in the decision model category with Gemini Decision 1. He compares its question types and pricing with the other models, and says Gemini Decision 1 handles text, images, audio, video, and PDFs. In a test using a robot video, it returned probabilities below 1.0 for yes-or-no questions.

4. 05:01
   Josh Woodward · X

   Logan K Introduces Gemini Decision 1, a Model for the Gemini API

   Logan K introduces Gemini Decision 1 as a new frontier decision model in the Gemini API. The quoted post lists support for image, audio, video, and PDF, a 256K context window, and 1K questions, and says it can be tried for free in the API. Josh Woodward says his team builds with it regularly and that it makes their apps faster and smarter.

5. 04:12
   The DecoderPicks

   Google Introduces Gemini Decision 1 for Scoring 1,000 Questions in One Pass

   Google DeepMind is introducing the Gemini Decisions API, powered by Gemini Decision 1, which processes up to 1,000 independent closed-ended questions in one pass across text, images, audio, video, and PDFs. It returns probabilities with confidence values in 150 to 250 milliseconds. The API is available through Google AI Studio for $0.10 per million input tokens, with no output-token charge; integrations with OpenRouter, LangChain, Vercel, and other platforms are rolling out.

6. 02:16
   Logan Kilpatrick · XPicks

   Google Introduces Gemini Decision 1, a New Model in the Gemini API

   Logan Kilpatrick introduces Gemini Decision 1 as a new frontier decision model in the Gemini API. The post says it supports image, audio, video, and PDF natively, has a 256K context window, and costs $0.10 per 1M input tokens with no additional cost. It also says users can try it for free in the API.

7. 02:15
   Sundar Pichai · XPicks

   Google Launches Gemini Decisions API Powered by Gemini Decision 1

   Google is launching the Gemini Decisions API in Google AI Studio, powered by its Gemini Decision 1 model. It supports yes/no, multiple-choice decisions with up to 255 options, and rubric scoring across text, images, audio, video, and PDFs, scoring up to 1,000 questions in one pass. Input costs $0.10 per 1M tokens, with no charge for output tokens; Google says it leads on several benchmark evaluations with the lowest calibration error.

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