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The Decoder· Matthias Bastian·· 2 小时前精选AI 评分82

Google 发布 Gemini Decision 1 与 Gemini Decisions API

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

AI 导读

Google DeepMind 推出 Gemini Decisions API,其底层模型 Gemini Decision 1 可在单次调用中处理最多 1000 个独立问题,覆盖文本、图像、音频、视频和 PDF,直接为选项打分并返回带置信度的概率,耗时 150 到 250 毫秒。

推荐理由

Google 推出面向封闭式决策的专用模型与 API,读者可据此比较它与通用模型在延迟和成本上的差异。

正文 · 原文

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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来源:The Decoder · the-decoder.com