Google cuts AI video prices 30% and adds 15-second clips with Omni 1.2 Flash

Google is promising cheaper AI video that is easier to revise without losing visual details. Released November 5, Gemini Omni 1.2 Flash brings 15-second clips and a 30% price cut. Those changes are concrete; its stronger consistency is a company claim illustrated through demos, while Google acknowledges that fast sports action and complex physics still need work.

Revise the clip, not the whole brief

The model is generally available through the Gemini API and Gemini for business. Google lists 720p generation at $0.07 per second, down 30% from Omni 1.1. It also raises the native clip limit from 10 seconds to 15 seconds, with durations selectable in one-second steps from three to 15 seconds.

Conversational editing works across the full 15-second clip. Users can ask for a different background, swap a product, change lighting or weather, or switch the aspect ratio through successive prompts. Google positions this as a way to make ad variants without starting again or repeating the original instructions.

One company demonstration takes a generated scene through several background changes, moving from a striped pavilion to a forest, stable, market and castle. Google says the characters’ performances, armor reflections and camera framing remain intact. That is the central editing promise: change the requested element while preserving the rest of the shot.

The release also supports a draft-and-finish workflow: generate at 360p or 720p, refine the clip, then upscale selected results to 1080p or 4K. Google argues that follow-up edits, rather than complete regenerations, can help keep production costs down alongside the lower listed generation price.

Keeping faces, products and voices in place

Users can guide generation with a combination of character, product and style images, motion references up to three seconds long, and audio cues. Google says the model follows those references more closely, preserving faces, clothing, packaging text and brand colors across camera angles. These are company-supplied quality claims, rather than independently established results.

In a virtual try-on example, Google combines one model photograph with front-and-back product shots of three outfits. It says the resulting sequence preserves the person’s identity and each garment’s cut, drape and back details through turns and cuts between shots. The example targets a specific business use: turning existing product photography into video.

Google also claims more natural dialogue, clearer lip-sync and better control over which voice belongs to which character. For camera direction, it promises smoother continuous movements with fewer unwanted cuts and steadier scale. These improvements address speech and motion within a shot, not just how closely an opening frame matches a reference image.

The company’s qualifications are specific: fast sports action, rapid script changes and complex physics remain areas under development. Its first-to-last-frame comparison also notes small changes, including a soup ladle turning into chopsticks. Better consistency does not mean every object survives a generated transition unchanged.

Access depends on the Google product

Alongside developer and business access, the model is rolling out through Google’s video and advertising products. The launch announcement describes different entry points rather than identical access across every app:

• Google Vids offers 15-second clip generation at no additional cost with a Google account or Google Workspace subscription.
• The Gemini app is rolling out 15-second video creation to Google AI Ultra subscribers.
• Flow supports scene direction and multi-turn edits, while Google Ads is another destination for video campaign production.

For production customers, Google says Provisioned Throughput is available through its cloud infrastructure. Generated outputs also carry an imperceptible SynthID watermark, adding a marking mechanism to the videos delivered through the release.