Google DeepMind Launches Gemini Decisions API for Rapid Decision-Making
Google DeepMind has launched the Gemini Decisions API and the Gemini Decision 1 model. The interface evaluates up to 1,000 queries in a single rapid execution.
What happened?
Google DeepMind has introduced the Gemini Decisions API, a new interface powered by the Gemini Decision 1 model. The service enables the evaluation of up to 1,000 discrete queries in a single rapid run against multimodal inputs of up to 256,000 tokens. The interface processes text, images, audio, video, and PDF documents for tasks such as binary questions, multiple-choice queries, and scoring matrices.
Key facts
”Evaluate up to 1,000 yes/no, choice, and rubric-scoring questions in a fast, single pass across text, images, audio, video, and PDFs.”
Why it matters
Traditional generative language models produce responses sequentially, token by token, resulting in unnecessary computational overhead for simple classification tasks. By restricting the model to closed-choice outputs, Google enables faster, single-step execution, facilitating tasks such as tool selection, policy checks, and routing between different models.
Who is affected?
The interface is targeted at developers and systems architects building AI agents and automated workflows. It is particularly relevant for organisations requiring rapid classification, content moderation, or real-time conditional routing without the need for full-scale text generation.
What else you should know
Instead of generating free text character by character, the model returns probability-based responses and calibrated scores directly on the defined queries. This architecture is tailored for performance-critical system flows.
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Var är Gemini Decisions API tillgängligt?
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