Google Introduces Gemini Omni 1.1 Flash for Video Creation and Editing via API
Google has introduced Gemini Omni 1.1 Flash, which brings video generation, scene extension, frame interpolation, and iterative editing to the Gemini API.
On August 27, 2026, Google announced Gemini Omni 1.1 Flash, a model for video generation and editing identified as gemini-omni-1.1-flash. It is available to developers through the Gemini API in Google AI Studio. Google also says it is deployed on the Gemini Enterprise Agent Platform.
According to the technical documentation, the model accepts both text and image inputs. Through the Interactions API, it can create video and then edit it iteratively, meaning it can make additional changes to an already generated output.
Gemini Omni 1.1 Flash Brings Longer Scenes and Controlled Transitions
Announced features include extending an existing scene in 10-second increments up to a total length of 40 seconds. The model also supports interpolation between the first and last frames, which is intended to enable a transition between two specified images.
Another option is video references up to three seconds long. Google describes them as input material for the model, alongside text and images. The documentation also confirms support for subsequent, conversationally requested video edits.
Outputs can be generated at 360p and the default 720p resolution. Upscaled 1080p or 4K is also supposed to be available. For 360p previews, Google claims speeds up to 60% higher and one-third the cost compared with 720p. However, the announcement did not provide more details about the conditions or methodology of these measurements.
Availability via API, Flow, and the Gemini App
According to Google, Gemini Omni 1.1 Flash is accessible through the Gemini API in Google AI Studio. Google also plans to deploy the model’s features in Google Flow, where they are supposed to be globally available to subscribers of the Google AI Plus, Pro, and Ultra plans.
Scene extension is also supposed to be available for these subscription tiers in the Gemini app. However, the announcement does not provide the full availability of all features by country or detailed limits for individual resolutions, input materials, or editing uploaded video.
For developers, the key aspect is the combination of generation and editing in the API. Instead of creating a short clip only once, they can incorporate scene extension, specifying boundary frames for a transition, and further changes to the generated video into their workflow.
What Will Need to Be Verified in Practice
In its materials, Google uses claims about studio quality, professional readiness, and improved consistency. These are the manufacturer’s marketing claims, not independent comparative tests. It has not yet been independently confirmed how reliably the model will preserve character identity, scene continuity, or the accuracy of requested edits in real production workflows.
When deploying it, the API pricing, specific limitations of individual modes, and regional availability will also be important. Attention will also be required for rules on labeling AI videos, copyright protection, and restrictions on working with people’s likenesses.
Upcoming tests will show how Gemini Omni 1.1 Flash compares with competing generative video models in quality, consistency, and speed.
Sources
- Google Blog – Primary announcement of the release date, features, integration channels, and stated availability in Google Flow and the Gemini app.
- Google AI for Developers – Gemini API documentation – Official technical documentation confirming the model name, API use, supported inputs, resolutions, interpolation, and iterative video editing.
Verified and updated: 08/27/2026 20:33
