# Google launches Gemini Decisions API for closed-set choice scoring

> Original title: Benchmarks.

- Source: Andrew Curran
- Published: 2026-11-11T18:30:46.000Z
- Bad Influence: https://badinfluence.news/items/x5s5geufgc3kmi8vjvetdjbup
- Original: https://x.com/AndrewCurran_/status/2120585038396006479

## Summary

Google launches the Gemini Decisions API, powered by its Gemini Decision 1 model, in Google AI Studio. It is built for scoring up to 1,000 closed-set questions across text, images, audio, video, and PDFs in one pass, priced at $0.10 per 1M input tokens with no output-token charge. The image shows Gemini Decision 1 scoring higher than Gemini 3.5 Flash-Lite on several benchmarks, with lower calibration error.

## Post

Benchmarks.

![](https://badinfluence.news/api/img-proxy?u=https%3A%2F%2Fpbs.twimg.com%2Fmedia%2FHW3U2tJaAAArrKu.jpg&mode=thumb&exp=1794700800&sig=db477e6b5980e52b)

## Quoted post @sundarpichai

> Today we’re launching the Gemini Decisions API, powered by our new Gemini Decision 1 model in @GoogleAIStudio.
> 
> Instead of generating text token by token, it’s built for closed-set choices scoring up to 1,000 questions across text, images, audio, video + PDFs in a single pass. A few details:
> 
> - 3 decision types: yes/no, multiple choice (up to 255 options) + rubric scoring
> - $0.10 / 1M input tokens with $0 billed for output tokens (~5x cheaper than Flash-Lite)
> - leads on several benchmark evals with lowest calibration error
> 
> Google teams are already building with it, below is a look at Stitch Rapid designing a full product flow in seconds (1x speed)

https://x.com/sundarpichai/status/2120581155078729728