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On November 11, Google DeepMind introduced the Gemini Decisions API, a new endpoint for fast, closed-set decisions. It runs on a new model, Gemini Decision 1 (gemini-decision-1). Instead of generating text, it scores candidate options in a single pass and returns probabilities and confidence scores. It's aimed at tool selection, policy checks, model routing, and context grading inside agents. One request takes a shared input of text, images, audio, video, or PDFs (up to 256K tokens). That input comes with up to 1,000 yes/no, multiple-choice, or rubric-score questions. Google says end-to-end latency is 150-250 ms. Pricing is $0.10 per 1M input tokens, with no output tokens billed, and there is a no-cost tier in Google AI Studio. Source: Google blog.
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