
What happened
Google updated Gemini Omni Flash to version 1.1, improving scene extension to analyze up to ten seconds of video (previously just the last second). Scenes can now be extended in 10-second increments up to 40 seconds, and developers can upload external footage as a style reference.
Why it matters
The update makes AI video generation cheaper and more flexible. A new 360p draft mode runs up to 60 percent faster at a third of the cost of 720p, with per-second pricing from $0.03 (360p) to $0.30 (4K). This could lower the barrier for businesses to produce video content.
What to watch
Omni 1.1 is available through Google AI Studio and developer docs. Pricing per second: $0.03 for 360p, $0.10 for 720p, $0.15 for 1080p, and $0.30 for 4K. Videos can be upscaled to 1080p or 4K.
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Google's update to Gemini Omni Flash addresses a common pain point in AI video generation: maintaining visual consistency over longer clips. Previously, the model only looked at the last second of video when extending a scene, which likely led to jarring jumps. Now, analyzing up to ten seconds provides more context, resulting in smoother transitions. This is a practical improvement for creators who want to build longer narratives without manual editing.
The new 360p draft mode is a strategic move to cut costs for experimentation. By offering a cheaper, faster option, Google encourages developers to iterate more freely before committing to higher resolutions. The pricing structure, with 4K at $0.30 per second, is competitive with other models like Veo 3.1 Fast, which also charges $0.30 for 4K. This places Gemini Omni 1.1 Flash in the same league as top-tier video AI, but with the added flexibility of variable resolutions and longer scene extensions.
For businesses, this could mean more affordable video content generation, especially for social media or prototyping. However, the fact that 360p and 1080p modes are not available in the older Gemini Omni Flash suggests a deliberate tiering of features. The availability through Google AI Studio and developer docs makes it accessible, but companies will need to weigh the trade-off between cost and quality for their specific use cases. As with any AI tool, the actual output quality and workflow integration will determine its real-world impact.
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