Introducing agentic video understanding with Gemini
Introducing agentic video understanding with Gemini
摘要: Introducing agentic video understanding with Gemini
Sep 01, 2026
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Our new agentic feature for video an
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Introducing agentic video understanding with Gemini
Sep 01, 2026
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Our new agentic feature for video analysis cuts token consumption by up to 88%, reduces costs by up to 66%, and boosts quality by up to 7%.
Rohan Doshi
Senior Product Manager, Google DeepMind
Mario Lučić
Research Director, Google DeepMind
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Google just launched agentic video understanding for Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite. This feature allows the model to dynamically scan video segments, which improves accuracy while cutting token usage by up to 88% and costs by up to 66%. You can start using this today by setting your API configuration to "agentic" in Google AI Studio or the Gemini Enterprise Agent Platform.
Summaries were generated by Google AI. Generative AI is experimental.
Today, we’re launching
agentic video understanding
across our latest models: Gemini 3.7 Flash, 3.6 Flash and 3.5 Flash-Lite. This new capability improves accuracy while dramatically reducing token usage and costs for video analysis. Similar to
agentic vision
, which combines code execution with Gemini models’ native image understanding, agentic video understanding uses Gemini’s native video tools to improve performance and unlock new capabilities for video processing like sub-second moment retrieval, more accurate anomaly detection, precise counting and more.
The feature is available today for video uploads and YouTube videos via the Gemini API in Google AI Studio and the Gemini Enterprise Agent Platform.
Benchmarks
Unlike current ‘static’ processing, where the model ingests the video at a fixed frames-per-second rate (default 1 FPS, adjustable via API), agentic video