Gemini Decisions API

Google launched the Decisions API in Gemini API alongside the Gemini Decision 1 model, which skips text generation and returns structured yes/no, multiple-choice and scoring judgments with calibrated confidence for up to 1,000 questions per request. Pricing is $0.10 per million input tokens with no output charge, latency is 150-250 ms for inputs under 16K tokens, and Google claims it is nearly 5x cheaper than generating answers with Gemini 3.5 Flash-Lite. The API turns routing, moderation and grading calls from generate-then-parse into direct calibrated probabilities usable as automation thresholds.

Google DeepMind has launched the Gemini Decisions API and its underlying Gemini Decision 1 model, purpose-built for closed-ended decisions such as yes/no, multiple choice, and scale ratings. It handles up to 1,000 independent questions in a single pass across text, images, audio, video, and PDFs, returning probabilities with confidence values in 150-250 ms. Google says it already uses the API internally for dynamic model routing in Gemini Notebook, design prototyping in Stitch, and safety checks in Search, signaling that decision models are becoming a mainstream product category.

Google introduced the Gemini Decisions API, powered by the new Gemini Decision 1 model, which evaluates up to 1,000 yes/no, multiple-choice, and rubric-scoring questions in a single pass across text, images, audio, video, and PDFs. Positioned for query routing, content grading, and policy checks, it emphasizes low cost and latency and is now available via API keys in Google AI Studio.

Google introduced the Gemini Decisions API, powered by the new gemini-decision-1 model, which evaluates up to 1,000 yes/no, multiple-choice, and rubric-scoring questions in a single pass across text, images, audio, video, and PDFs while returning confidence scores. Positioned for query routing, content grading, and policy checks with a cost-effective, low-latency profile, it is available now in Google AI Studio, with Google Cloud support coming soon.