Google launches the Gemini Decisions API for fast judgments

Summary

Google introduced the Gemini Decisions API, powered by the new Gemini Decision 1 model. It accepts one multimodal input across text, images, audio, video, and PDFs and answers up to 1,000 yes/no, multiple-choice, and rubric-scoring questions in a single pass. Instead of generating text, the model scores candidate options and returns probabilities and confidence scores. Google reports 150-250 ms end-to-end latency and $0.10 per 1M input tokens with no output-token charges, figures from the company's own benchmarks.

Why it matters for our work

Moving repeated agent judgments such as tool selection, policy checks, and model routing from slow generative calls to a purpose-built endpoint could change the speed and cost of human-AI pipelines. Low-confidence cases still need a path to human review.

Translated from the Korean original. Summaries may be translated and edited. Commentary reflects our perspective; forecasts remain the source’s views.