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Google launches Gemini Decisions API powered by new Gemini Decision 1 model
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Google announced the launch of the Gemini Decisions API, powered by its new Gemini Decision 1 model in Google AI Studio. Rather than generating text token by token, the model is designed for closed-set choice scoring across up to 1,000 questions spanning text, images, audio, video, and PDFs in a single pass. It supports three decision types: yes/no, multiple choice with up to 255 options, and rubric scoring. Pricing is set at $0.10 per 1M input tokens with no charge for output tokens, which Google says is roughly 5x cheaper than Flash-Lite. The company claims the model leads on several benchmark evaluations with the lowest calibration error. Google teams are already building with it, including Stitch Rapid, which is shown designing a full product flow in seconds.
Source report
Today, Google is launching the Gemini Decisions API, powered by the new Gemini Decision 1 model in Google AI Studio.
Instead of generating text token by token, the API is built for closed-set choice scoring—evaluating up to 1,000 questions across text, images, audio, video, and PDFs in a single pass.
Key Details
- 3 decision types: yes/no, multiple choice (up to 255 options), and rubric scoring
- Pricing: $0.10 per 1M input tokens, with $0 billed for output tokens (~5x cheaper than Flash-Lite)
- Performance: Leads on several benchmark evaluations with the lowest calibration error
Google teams are already building with the API. The example below shows Stitch Rapid designing a full product flow in seconds (shown at 1x speed).
Source
sundarpichaiNeutral / independent