Google's Gemini Omni 1.2 Flash stretches AI video clips to 15 seconds and cuts pricing by 30 percent
Google's Gemini Omni 1.2 Flash stretches AI video clips to 15 seconds and cuts pricing by 30 percent

Google DeepMind has made the Gemini Omni 1.2 Flash video generation model generally available, extending clip duration from a maximum of 10 seconds to 3 to 15 seconds, and reducing the price of 720p video to 0.07 USD per second, a 30% decrease from the previous generation.
Same story — featured version shown《Google DeepMind has released Gemini Omni 1.2 Flash, supporting 15-second videos and reducing the price by 30%.》
Same story5 other outlets also reported this
- Google AI Blog··First
Google releases Gemini Omni 1.2 Flash, supports 15-second videos and cuts prices by 30%
- Google DeepMind··+5 min
Google DeepMind has released Gemini Omni 1.2 Flash, supporting 15-second videos and reducing the price by 30%.
Adds:Google DeepMind mentions full rollout on Gemini API and Gemini for business.
- The Decoder··+2 h 6 min·Reading now
Google has released the Gemini Omni 1.2 Flash video generation model, extending duration to 15 seconds and reducing the price by 30%.
Adds:The Decoder specifies the model is open for general use.
- ITHome · AI··+5 h 45 min
Google has released the Gemini Omni 1.2 Flash video generation model, with a native duration of 15 seconds and a 30% price reduction compared to 1.1.
- MarkTechPost··+5 h 58 min
Google releases Gemini Omni 1.2 Flash, supporting 15-second videos, priced at $0.07 per second for 720p
Adds:MarkTechPost mentions the model supports video editing.
- 36Kr · AI··+6 h 58 min
Google has launched a video generation model, Gemini Omni 1.2 Flash, with a 30% price reduction
- 36Kr · AI··+32 h 53 min
Google released the Gemini Omni 1.2 Flash video generation model, increasing the duration of a single segment to 15 seconds.
In order of publication · later reports are added as they appear · Compared by AI from each outlet’s title and summary
Google Deepmind is making its Gemini Omni 1.2 Flash video-generation model generally available. The updated model creates clips up to 15 seconds long, supports conversational editing, and costs 30 percent less than its predecessor.
Google says Gemini Omni 1.2 Flash is rolling out through the Gemini API, Google AI Studio, the Google Cloud Console, Flow, Google Vids, the Gemini app for Google AI Ultra subscribers, and Google Ads. Every generated video carries an imperceptible SynthID watermark to indicate its origin.
Clips can now run between three and 15 seconds, up from a maximum of 10 seconds previously, and pricing drops 30 percent to $0.07 per second for 720p video. Generated clips can also be edited through an ongoing conversation.
A standout feature is what Google calls "Conversational Editing." Users can tweak a generated clip step by step, changing the background, lighting, or aspect ratio without regenerating the entire clip. Google says this works across the full 15-second length. Paired with a tiered workflow, the feature is supposed to cut costs. Drafts are first created at 360p or 720p, individual details are corrected with a follow-up edit, and only the final result is upscaled to 1080p or 4K.
Google promises more consistent results with reference images
Google also promises significantly better reference adherence. According to the announcement, the model can take character images, product photos, short motion clips of up to three seconds, and audio cues as inputs. Faces, clothing, packaging typography, and brand colors are supposed to stay consistent across different camera angles.
As an example, Google shows a virtual try-on clip. From a single model photo and product shots of three outfits, the model generates a 15-second sequence with 360-degree turns while preserving the model's identity and each garment's cut and drape.
Overall visual consistency is said to have improved as well. Google says there is less visual drift or morphing across motion and camera transitions than with the predecessor.
Beyond that, Gemini Omni 1.2 Flash is supposed to produce more fluid, natural-sounding dialogue with clearer lip-sync and the ability to distinguish between multiple speakers. The model further handles complex, continuous camera movements such as FPV drone flights or dramatic zoom-outs, with significantly fewer unwanted jump cuts.
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Source: The Decoder · the-decoder.com