AI summary
Google’s new Gemini Omni 1.2 Flash offers cheaper, longer AI video generation, lowering costs and improving efficiency for developers using its cloud-based API.
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Google Releases Gemini Omni 1.2 Flash: 15-Second AI Video at $0.07 per Second
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Google has released Gemini Omni 1.2 Flash, the newest version of its video generation and editing model. Gemini Omni 1.2 Flash generates and edits clips up to 15 seconds natively. It also cuts the price by 30% compared with Omni 1.1 Flash. The model is generally available on Google Cloud and the Gemini API. For developers, the takeaways are longer clips, fewer re-renders and a lower bill per second. TL;DR Runs on: Google-hosted only (Gemini API, Google Cloud). No open weights, no local deployment. Performance: Google reports better reference adherence and less drift. No 1.2 benchmark scores are published. Best: Native 15-second clips at $0.07 per second of 720p video, about $1.05 per 15-second clip. Worst: Google says fast sports action, rapid script changes and complex physics still need work. What is Gemini Omni 1.2 Flash? Gemini Omni 1.2 Flash is a multimodal video model from Google DeepMind. It takes text, images, short video clips and audio as input. It outputs video with audio. Google’s developer docs describe the Omni line as natively multimodal, with editing handled through the Interactions API. What changed from Omni 1.1 Flash? The launch lists 6 upgrades: Longer clips: Generation and editing now reach 15 seconds, up from 10 seconds in Omni 1.1. Duration control: You set length in 1-second steps from 3 to 15 seconds. Reference adherence: You can combine character, product or style images with motion clips up to 3 seconds. Consistency: Faces, garments, packaging text and brand colors hold across camera angles with less morphing. Speech: Dialogue sounds more natural, with clearer lip-sync and distinct multi-speaker conditioning. Camera control: FPV flythroughs, zoom-outs and orbits show fewer unwanted jump cuts. How does the draft, edit, upscale workflow work? Google frames cost control as a workflow, not just a price. You draft at 360p or 720p. You fix a detail with a follow-up edit instead of regenerating the whole clip. Then you upscale t
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