Google launches Gemini Decisions API for AI choices
MarkTechPost: Google Launches Gemini Decisions API With Gemini Decision 1 at $0.10/M Tokens
Google has launched the Gemini Decisions API, powered by a new model, Gemini Decision 1 (gemini-decision-1). The Gemini Decisions API does not generate text. It scores up to 1,000 typed questions against one shared input and returns calibrated probabilities. For developers, this targets the small branching calls inside agents: routing, policy checks, tool selection and grading. Google prices it at $0.10 per 1M input tokens, with zero output tokens billed. TL;DR Size: Context is 262,144 t
Google launched Gemini Decisions API, powered by a new model called Gemini Decision 1, designed to answer specific types of questions rather than generate text. The API scores up to 1,000 questions against a shared input and returns calibrated probabilities, priced at $0.10 per million input tokens. It handles yes-no questions, multiple choice questions, and rating scale questions for uses like routing, policy checks, tool selection, and grading within AI agents.
- MarkTechPost ↗: The model processes text, images, video, audio, and PDFs in a single pass and completes requests in 150-250 milliseconds, with calibration error half that of its closest competitor.
- SiliconANGLE ↗: The service costs nearly five times less than Google's entry-level alternative and represents a new category of AI designed to answer narrow sets of questions quickly and efficiently.
Decision models are a growing market segment with competing services from other companies. The technology is particularly useful for applications needing fast, simple answers because concise responses are easier to check for accuracy and integrate into software systems.
Google has launched a new API that specializes in making closed-set decisions rather than generating text. The system scores up to 1,000 questions against a shared input and returns calibrated probabilities for routing, policy checks, tool selection, and grading within AI agents, priced at $0.10 per million input tokens. The model reads text, images, video, audio, and PDFs in a single pass and completes requests in 150-250 milliseconds, with calibration error half that of its closest competitor. While the pricing is higher than some alternatives, the system's speed and multimodal capabilities make it suitable for scenarios where AI applications need to make quick, probabilistic decisions at scale.
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