Google Launches Agentic Video Understanding for Gemini Flash Models, Cutting Video Tokens by Up to 88%
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 trade: pay for the full timeline in context, or pre-chunk the video and risk dropping the detail that mattered. This week, Google launched agentic video unde
Google launched agentic video understanding for its Flash models, which allows the AI to selectively navigate through videos rather than processing every frame uniformly. Previously, video analysis required processing an entire video at a fixed rate regardless of the question, but agentic mode lets the model decide what to watch, at what speed, and in what format based on the specific task. This approach reduces token usage by up to 88 percent, lowers costs by up to 66 percent, and improves accuracy by up to 7 percent on standard benchmarks. The feature is available only through hosted APIs in the Gemini API and related platforms, with no option to self-host, and uses standard API pricing without additional fees.
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Anthropic releases new Mythos and Fable models amid RSI concerns
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Also reported by The Verge, SiliconANGLE and MarkTechPost
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Also reported by SiliconANGLE
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