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The Decoder:AI News· Matthias Bastian·· 2 小时前AI 评分66

Google DeepMind 发布 Gemini Decision 1,单次可处理 1,000 个封闭式问题

Google joins the decision-model wave with Gemini Decision 1, scoring 1,000 questions in a single pass

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Google DeepMind 推出 Gemini Decisions API,底层模型 Gemini Decision 1 面向是非题、选择题和量表评分等封闭式决策,单次可处理最多 1,000 个独立问题,支持文本、图像、音频、视频和 PDF,150 到 250 毫秒内返回概率与置信度。

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Matthias Bastian

Nov 11, 2026

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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