Google has launched the Gemini Decisions API, a new endpoint powered by its Gemini Decision 1 model that helps AI agents make fast, predefined decisions without generating lengthy text responses.The interface allows developers to evaluate up to 1,000 independent questions against a shared multimodal input containing text, images, audio, video, and PDFs. Instead of generating responses token by token, Gemini Decision 1 scores predefined options in a single forward pass, returning probabilities and confidence scores with an end-to-end latency of 150–250 milliseconds.Google said the model is built for bounded tasks such as selecting tools, checking policy compliance, routing queries to the right models, and grading context. Developers can submit yes-or-no checks, multiple-choice questions with up to 255 options, or scoring requests based on predefined rubrics in a single API call.Faster decisions at lower costsAccording to Google, the API delivers a median model computation time of 50–100 milliseconds, with performance remaining nearly unchanged when processing between one and 100 questions per request. The model supports a context window of up to 256,000 tokens and can process multiple types of data simultaneously. This allows developers to combine inputs such as audio recordings, images and documents without relying on separate processing systems.Google also claims the model outperforms competing systems across benchmarks covering agent routing, reasoning, ranking and multimodal understanding, while achieving the lowest calibration error.The company said Gemini Decision 1 is nearly five times cheaper than Gemini 3.5 Flash-Lite using the Interactions API across its shared benchmark suite.The launch comes amid growing competition in specialized AI decision-making tools. OpenAI introduced its Decisions API in October, powered by its GPT-6 Luna model. The company said the service can deliver decisions up to 10 times faster than its Responses API and supports up to 400 questions per request. Like Google’s offering, it provides probability-based checks, multiple-choice selections and rubric-based scoring, with pricing starting at $0.10 per million input tokens.The Decisions API costs $0.10 per million input tokens, with no charges for output tokens. Developers are billed only once for shared input data, regardless of how many questions are evaluated, although each question adds instruction and criteria tokens.Powering real-world AI applicationsGoogle is already deploying the technology across several of its products, proving how specialized decision-making models can improve the speed and efficiency of automated systems.In Gemini Notebook, the API routes incoming queries to appropriate model tiers and reasoning levels. According to Google, this approach can reduce latency for everyday queries by up to 40 percent while reserving more powerful reasoning models for complex tasks.The technology also powers rapid design experiments in Google’s Stitch platform, allowing users to generate interactive product wireframes and make changes through voice commands or touch inputs.Meanwhile, Google’s CC assistant uses the API to select emoji reactions from more than 200 options in a fraction of a second.Google Search is also using the technology as a safety layer to detect adversarial behavior involving Model Context Protocol (MCP) tools.Beyond these applications, the API could help developers build systems that automatically select appropriate tools, assess incoming information and determine when human intervention is necessary.The Decisions API is now available through Google AI Studio, including a free tier for prototyping. Google is also rolling out integrations with developer platforms such as OpenRouter, LangChain, Vercel, LiteLLM, and Pydantic AI.