Google has introduced the specialized Gemini Decision 1 model

Google DeepMind has announced the launch of the Gemini Decision 1 API, designed to process large volumes of closed-ended questions. The new model is capable of analyzing up to 1000 queries in a single pass, working with multimodal data including text, images, audio, and video.

The system's technical specifications ensure high processing speed: response times range from 150 to 250 milliseconds. According to the developers, the cost of using Gemini Decision 1 is approximately five times lower than that of the Gemini 3.5 Flash-Lite model, making it a cost-effective solution for mass classification and decision-making tasks.

The tool is focused on scenarios that require fast processing of structured data at scale. By being optimized for closed-ended questions, the model eliminates the need to generate lengthy responses, focusing instead on extracting specific parameters from the incoming stream of information.

For practitioners, this means the potential for significant cost reductions when automating analytical processes that require high throughput. Using the API allows for integration into systems that work with streaming data in real time, where minimal latency is critical when processing thousands of events simultaneously.