23 Daily — On November 11, 2026, Google launched the Gemini Decisions API, a tool designed to rapidly and accurately handle multimodal data decision-making. This API can evaluate up to 1,000 questions in one request, spanning text, images, audio, video, and PDFs (according to its Product Hunt page).
Technology and Operation of Gemini Decisions API
Developed by Google DeepMind with the new Gemini Decision 1 model, the Gemini Decisions API differs from traditional models by scoring candidate options in a single forward pass rather than token-by-token generation. It returns probabilities and confidence scores with end-to-end latency between 150-250 milliseconds, billing only for input tokens and no output token costs. The API supports three decision types: yes/no (noul), multiple choice (2 to 255 options), and rubric scoring, which can be combined and provide confidence scores between 0 and 1.
Performance and Cost Efficiency
In benchmarks including agent routing, reasoning, ranking, and multimodal understanding, Gemini Decision 1 leads with top accuracy and calibration. It maintains stable latency and can handle inputs up to 16,000 tokens combining multiple modalities. Compared to Gemini 3.5 Flash-Lite using the Interactions API, Gemini Decisions API reduces latency and costs by nearly five times.
Enterprise Use Cases and Real-Time Workflow Enhancements
Internal Google teams are already employing the API in several products. Gemini Notebook uses it as a real-time router to assign optimal model tiers per query, enhancing speed while conserving resources. The design tool Stitch leverages the API to quickly generate interactive product flows, supporting near-instant edits via voice or tap, shortening design iterations. Google Labs’ CC project uses it for emoji selection decision flows.
Editor's take: Unlocking New Opportunities for Startups with Multimodal Decision APIs
The Gemini Decisions API’s novelty lies in integrating rapid multi-question decisions over multimodal data in a single endpoint, significantly improving decision speed and cost efficiency. This makes it especially attractive for startups requiring extensive content evaluation, dynamic routing, or policy compliance checks. Entrepreneurs can obtain an API key and leverage official Python, JavaScript, and REST documentation for straightforward integration. Practical validation involves testing with diverse input scenarios (e.g., systems processing images and audio files simultaneously), utilizing confidence scores to set human review thresholds, ensuring reliability and precision.