Models New
Google launches Gemini Decision 1, a model that scores up to 1,000 yes/no or multiple-choice questions in one pass
Published:
Google introduced the Gemini Decisions API on 11 November, powered by a new model, Gemini Decision 1 (gemini-decision-1). Instead of generating text, it scores a fixed set of options and returns probabilities and confidence scores, for tasks such as tool selection, policy checks, model routing and grading context.
One request carries a single input of text, images, audio, video or PDFs, up to 256K tokens, plus up to 1,000 independent questions: yes/no checks, choices among 2 to 255 options, or scores on a rubric. Google says it answers in 150 to 250 milliseconds end to end and charges $0.10 per million input tokens with no output charge; the shared input is billed once per request. It is available in Google AI Studio with a no-cost tier.
Google claims the model is nearly five times cheaper on its benchmark suite than Gemini 3.5 Flash-Lite. It enters a field where TypeSafe's Jev and OpenAI's Decisions API already sell similar decision models, VentureBeat notes.
Caveat. The speed and cost comparisons are Google's own claims on its own benchmark suite. The Decisions API does not support context caching or the Batch API.
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