Google DeepMind is introducing the Gemini Decisions API, an interface for fast, closed-ended decisions such as yes/no questions, multiple choice, and scale-based ratings. The underlying model, Gemini Decision 1, processes up to 1,000 independent questions in a single pass across text, images, audio, video, and PDFs.
According to the report, the model scores options directly and returns probabilities with confidence values in 150 to 250 milliseconds. Google says it already uses the API internally for dynamic model routing in Gemini Notebook, design prototyping in Stitch, and safety checks in Google Search.
The API costs $0.10 per million input tokens and has no output-token charge. Google says this is about five times cheaper than Gemini 3.5 Flash-Lite. It is available now through Google AI Studio, and integrations with OpenRouter, LangChain, Vercel, and other platforms are rolling out.
The report notes that similar models have appeared in recent weeks. It says the startup Jev introduced its version first, and that OpenAI, Cloudflare, and Microsoft followed with similar offerings.
Source: The Decoder