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Google's new agentic video understanding allows Gemini Flash models to dynamically navigate and ingest only relevant video segments rather than processing entire timelines at a fixed rate. This shift reduces token usage by up to 88% and lowers costs significantly while maintaining or improving accuracy on long-form content benchmarks. The feature is currently available exclusively as a hosted API service without open weights for self-hosting.

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Google Launches Agentic Video Understanding for Gemini Flash Models, Cutting Video Tokens by Up to 88%

MarkTechPostSeptember 5, 20263 min read

Gemini now navigates video instead of ingesting it at 1 FPS, loading only the segments a prompt needs. The post Google Launches Agentic Video Understanding for Gemini Flash Models, Cutting Video Tokens by Up to 88% appeared first on MarkTechPost.

Video has been the most expensive modality to reason over. A Gemini model handed a 90-minute lecture has, until now, ingested the whole thing at a fixed one frame per second, whether the question was ‘summarize this’ or ‘what time does the speaker switch to the pricing slide?’ That single-pass design forces a bad…

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