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Google announced Gemini Omni 1.2 Flash on Nov. 5, with video generation and editing for clips up to 15 seconds and a stated 30% price reduction from version 1.1. Google says the model is generally available through the Gemini API and Gemini for business; independent performance comparisons and usage details were not provided in the announcement.
Google said on Nov. 5 that it is rolling out Gemini Omni 1.2 Flash, an AI video model that can generate and edit clips up to 15 seconds long. The company says the release is generally available through the Gemini API and Gemini for business, with 720p video priced at $0.07 per second—30% below the price of Gemini Omni 1.1.
The model raises the maximum native clip length from 10 seconds to 15 seconds, according to Google. Users can set durations in one-second increments from three to 15 seconds. Google also says users can make changes through follow-up prompts, such as replacing a background or adjusting lighting, rather than regenerating an entire clip.
Google describes the release as better at following image, motion and audio references, and at maintaining character, product and scene details across frames. The company says it can use reference images, motion clips of up to three seconds and audio cues. It also claims improvements to speech, lip-sync and camera movement. These are product claims from Google; the announcement did not provide independent test results or standardized comparisons.
The stated price of $0.07 per second applies to 720p video. Google says creators can draft at 360p or 720p and upscale selected clips to 1080p or 4K, but did not give prices for those resolutions in the supplied announcement. The company says the model is rolling out across its products and developer platforms. It also says outputs carry an imperceptible SynthID watermark and that Provisioned Throughput is available.
Gemini Omni 1.2 Flash Longer clips, lower stated cost
Google’s update brings longer video generation and conversational editing. Its price and quality claims still need independent evaluation.
What changes for creators
The update targets short video workflows that need multiple versions and revisions.
More room for a scene
The maximum rises from 10 to 15 seconds, with duration selectable in one-second increments.
Revise with prompts
Users can request changes such as a new background or lighting adjustment without regenerating the whole clip.
Guide the generation
Google says the model can use reference images, motion clips up to three seconds, and audio cues.
Where it is rolling out
Google says access is beginning across its products and developer platforms.
What the price covers
The announced rate applies to 720p video; other resolution and upscaling costs were not provided.
Google says creators can choose either resolution for drafts.
The stated $0.07-per-second rate is for 720p video.
Selected clips can be upscaled to 1080p or 4K, but those prices were not stated.
Claims awaiting testing
Google describes improvements, but the announcement supplies no independent benchmarks or standardized comparisons.
- Better reference following and continuity
- Improvements to speech, lip-sync, and camera movement
- Edits can preserve scene details across changes
- Reliability across varied scenes and demanding footage
- Failure rates and time saved in real workflows
- Total cost, including higher resolutions and upscaling
Lower Costs for Short Video Production
The release combines a longer clip limit with editing across multiple turns, changes that could reduce the work involved in producing short ads, explainers and social videos. If follow-up edits preserve the original scene as Google describes, teams may be able to create variations without rebuilding each clip. The lower stated 720p price could also matter to developers and businesses generating video at scale.
Those benefits depend on how well the model performs on real projects and on the full cost of production. The announcement does not quantify how often edits preserve the requested details, how much time they save, or what upscaling costs. The 30% reduction is a comparison with Gemini Omni 1.1, not a comparison with other video services.
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What Changes From Omni 1.1
Gemini Omni 1.2 Flash follows Gemini Omni 1.1, which Google says generated clips up to 10 seconds. The new version extends that ceiling to 15 seconds and adds multi-turn editing for clips of that length. The announcement frames these changes as part of a broader update to reference adherence, continuity and speech generation.
Google presents examples including virtual try-on sequences, animated product posters and scenes with multiple speaking characters. Those examples illustrate the company’s intended uses, but they are not independent evaluations. Google says development is continuing on areas including fast sports action, rapid script changes and complex physics.
““Gemini Omni 1.2 Flash introduces native 15-second video creation, multi-turn conversational editing capabilities, and enhanced reference following.””
— Google DeepMind, in its Nov. 5 product announcement
Performance Claims Need Testing
The announcement does not include independent benchmarks, a detailed methodology or comparative failure rates for the claimed gains in consistency, reference following and lip-sync. It is also unclear how reliably the model handles difficult scenes, including fast movement and complicated interactions. Google explicitly says development continues on fast sports action, rapid script changes and complex physics.
The supplied material does not specify prices for 360p, 1080p or 4K generation, or explain how upscaling is billed. It also does not give rollout timing by region or product, beyond saying availability is beginning across Google’s platforms. Those details could affect the practical cost and access for individual users.
Rollout Across Google Platforms
Google says Gemini Omni 1.2 Flash is rolling out across the Gemini API and Gemini for business, and directs developers to prototype through Google AI Studio. The announcement also points to availability in products including Flow and Google Vids. It does not provide a schedule for when every platform or account will receive access.
The next useful evidence will come from developers and businesses testing the model on varied footage and workflows, alongside clearer pricing for resolutions beyond 720p. Google says it will continue work on fast action, rapid script changes and complex physics, but did not announce dates for those improvements.
Where I land
I see Gemini Omni 1.2 Flash as a practical product update: the move to 15-second clips, conversational edits and a lower stated 720p rate address real constraints in short-form video workflows. If those features work reliably, they could make repeated revisions less expensive and easier for teams producing many variations.
The strongest counterargument is that the announcement is a vendor description, not evidence that the model reliably preserves text, faces or product details in demanding use. I would put more weight on the improvements after independent evaluations show performance across varied scenes and report both failure rates and total costs, including higher-resolution output and upscaling. Until then, the price and feature changes are confirmed as Google’s offering; the scale of the claimed quality gains remains to be established.
Key Questions
How long can Gemini Omni 1.2 Flash videos be?
Google says the model can generate and edit clips from three to 15 seconds, with duration selectable in one-second increments.
What is the announced price?
Google lists $0.07 per second for 720p video and says that is 30% below Gemini Omni 1.1. The announcement does not list prices for other resolutions.
Where is Gemini Omni 1.2 Flash available?
Google says it is rolling out through the Gemini API and Gemini for business, with access also being added across Google products and developer platforms. The announcement does not give a platform-by-platform rollout schedule.
Has Google’s performance claims been independently verified?
The supplied announcement provides Google’s product claims and demonstrations, but no independent benchmarks or standardized comparisons. Independent testing would be needed to assess how consistently the model follows references or preserves details.
Source: Google AI
