Gemini Decision 1

Google launched the Decisions API in Gemini API alongside the Gemini Decision 1 model, which skips text generation and returns structured yes/no, multiple-choice and scoring judgments with calibrated confidence for up to 1,000 questions per request. Pricing is $0.10 per million input tokens with no output charge, latency is 150-250 ms for inputs under 16K tokens, and Google claims it is nearly 5x cheaper than generating answers with Gemini 3.5 Flash-Lite. The API turns routing, moderation and grading calls from generate-then-parse into direct calibrated probabilities usable as automation thresholds.

Google has entered the decision-model category with Gemini Decision 1, joining Jev and OpenAI. The API supports yes/no, choice, and rubric-scoring questions, and is the only one of the three to handle text, images, audio, video, and PDFs. Pricing matches GPT-6 Luna at 10 cents per million input tokens with free output, still above Jev's 4.2 cents.

Google DeepMind has launched the Gemini Decisions API and its underlying Gemini Decision 1 model, purpose-built for closed-ended decisions such as yes/no, multiple choice, and scale ratings. It handles up to 1,000 independent questions in a single pass across text, images, audio, video, and PDFs, returning probabilities with confidence values in 150-250 ms. Google says it already uses the API internally for dynamic model routing in Gemini Notebook, design prototyping in Stitch, and safety checks in Search, signaling that decision models are becoming a mainstream product category.

Google introduced the Gemini Decisions API, powered by the new Gemini Decision 1 model, which evaluates up to 1,000 yes/no, multiple-choice, and rubric-scoring questions in a single pass across text, images, audio, video, and PDFs. Positioned for query routing, content grading, and policy checks, it emphasizes low cost and latency and is now available via API keys in Google AI Studio.

Google has launched Gemini Decision 1, its first purpose-built decision model, accepting text, images, audio, video and PDFs alongside typed questions. It answers yes/no, picks from up to 255 options, or returns scores, each with a probability, backed by a 262K context window. Priced at $0.10 per million input tokens with free output, it is available on OpenRouter from day one.

Google DeepMind has released Gemini Decision 1, its first decision model, scoring 66 on the Artificial Analysis Decision Index v2.1, level with Elephant 9B and Jev 1.14 but 7 points behind leaders Drex Max v1.1 and GLiDE v1.2. It leads knowledge and reasoning benchmarks yet costs about $345 per 1M tasks, over three times Drex Max v1.1, and trails on the new AA-Paperclip classification and extraction benchmark.

Google introduced the Gemini Decisions API, powered by the new gemini-decision-1 model, which evaluates up to 1,000 yes/no, multiple-choice, and rubric-scoring questions in a single pass across text, images, audio, video, and PDFs while returning confidence scores. Positioned for query routing, content grading, and policy checks with a cost-effective, low-latency profile, it is available now in Google AI Studio, with Google Cloud support coming soon.