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Gemini Decision 1 is live: Google’s new AI answers 1,000 yes/no questions in one pass

Gemini Decision 1 answers 1,000 yes/no or multiple-choice questions in one pass — and it’s already running inside Gemini Notebook and Google Search.

By The Prompt

The AI Desk · (2 hours ago)

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Photo via The Decoder

Google has launched Gemini Decision 1 — a new AI model built not to generate paragraphs or write code, but to answer exactly what it’s asked: yes/no, multiple choice, Likert scales, ranked options. It’s not a chatbot. It’s a decision engine. And it’s live in Google AI Studio as of Tuesday evening, with pricing and latency figures confirmed by Google DeepMind itself.

The model processes up to 1,000 discrete questions in one pass, across text, images, audio, video, and PDFs, and returns scored options with confidence values. Response time? 150–250 milliseconds. No output-token fees. Input tokens cost $0.10 per million, roughly one-fifth the price of Gemini 3.5 Flash-Lite, per Google’s own comparison.

This isn’t an experimental beta. It’s already powering internal workflows: dynamic model routing inside Gemini Notebook, design prototyping in Stitch, and safety checks in Google Search. That last detail matters: if Google is using it to triage search results for harmful or misleading content, that suggests real-world scale and reliability, not just lab benchmarks.

The timing is no accident. Jev launched its own decision-focused model weeks ago. OpenAI, Cloudflare, and Microsoft followed fast. Google didn’t wait to catch up.

It shipped first, and priced aggressively. The API is available now through Google AI Studio. Integrations with OpenRouter, LangChain, and Vercel are coming, but not yet live. No Android SDK.

No iOS wrapper. No consumer-facing UI. This is developer infrastructure, aimed squarely at builders stitching AI into enterprise workflows, compliance tools, survey engines, or real-time moderation pipelines. There’s no mention of Gemini Decision 1 appearing in any Pixel feature, Google Assistant update, or consumer app.

Not yet. But if Gemini Notebook is already routing models using it, that’s the clearest signal yet: Google’s next wave of AI won’t be about longer context or flashier demos. It’ll be about faster, cheaper, narrower decisions, made at scale.

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Written by the Hitechreports desk from the reporting credited above, with facts attributed to their original publishers. We do not test devices ourselves; anything about performance, battery life or cameras comes from the outlets that did. Prices are as reported at the time of writing. Editorial policy · Report an error

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Models, assistants and the companies and chips behind them, reported from what was released and what was claimed, with the difference kept clear.

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