Google Deepmind is introducing the Gemini Decisions API, an interface built for fast, closed-ended decisions like 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. It 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.
Gemini Decision 1 evaluates a photo of a kitchen counter in a single pass using all three question types: yes/no stain detection (confidence 0.95), selection of the appropriate cleaning action (98 percent), and severity rating on a scale (1.19 out of 2). | Image: Google
The API costs $0.10 per million input tokens with no output-token charge, about five times cheaper than Gemini 3.5 Flash-Lite according to Google. It's available now through Google AI Studio, with integrations for OpenRouter, LangChain, Vercel, and other platforms rolling out.
Gemini Decision 1 leads the benchmark suite in categories like agent routing, reasoning, and multimodal understanding while achieving the lowest calibration error (Top-1 ECE). | Image: Google
Similar models have been popping up in recent weeks. After the startup Jev introduced its version, OpenAI, Cloudflare, and Microsoft quickly followed with similar offerings.
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