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Google launches Gemini Decisions API for faster app control flow

Google has introduced the Gemini Decisions API, designed for efficient control-flow tasks within applications. This API utilizes the new Gemini Decision 1 model to evaluate specific questions without generating text, offering calibrated probabilities in approximately 200 milliseconds. It can process multimodal inputs alongside up to 1,000 parallel questions, supporting various question types like yes/no, multiple-choice, and rubric ratings, each with a confidence score. This technology is already being used internally at Google for prompt routing and by Stitch for real-time wireframe editing. AI

IMPACT Streamlines application logic by offloading decision-making from general LLMs to a specialized, faster API.

RANK_REASON Product launch for a specific application use case, not a core frontier model release.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Google launches Gemini Decisions API for faster app control flow

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55 / 100
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Newsworthiness bucket
Tool
Product launch for a specific application use case, not a core frontier model release.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, infra
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High
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Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Philipp Schmid ·

    Fast multimodal control flow with the Gemini Decisions API

    <p>Generative models write text for people to read. When your app only needs to pick a tool or route a request, prompting a chat model for JSON adds latency and brittle parsing code you shouldn't have to maintain.</p> <p>We built the Gemini Decisions API for these control-flow pa…