Google launches Gemini Decisions API, a fast model that scores up to 1,000 questions in one pass
Google DeepMind released the Gemini Decisions API, powered by a new Gemini Decision 1 model, for closed-set judgments such as tool selection, policy checks, model routing and grading. Instead of generating text, it scores up to 1,000 yes/no, multiple-choice and rubric questions against one shared input of text, images, audio, video or PDFs (up to 256K tokens), returning probabilities and confidence scores in 150-250 milliseconds. It costs $0.10 per million input tokens with no output-token charge, and Google says it is nearly five times cheaper than Gemini 3.5 Flash-Lite on its benchmark suite. The API is live in Google AI Studio, with integrations rolling out on OpenRouter, LangChain, Vercel and others.
Source: Google