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Gemini Omni Flash: Video Editing and Migration from Older Veo Preview APIs

Google documents have pointed the video generation entrance to Gemini Omni Flash, and indicate that the old preview interface of Veo 3.1 will be offline on October 22. This article introduces the multi-modal input and dialogue editing of the new model, and explains how to check the request, output and modification records when a small team migrates, so as to avoid delivery by just replacing the model name.

Chinese edition published 23 Oct 2026 · 阅读中文原文 ↗

Source timingVerified version: gemini-omni-1.1-flash; video overview updated on October 22, 2026; data verified on October 23, 2026.

First distinguish between model updates and interface changes

Google video generation documentation recommends Gemini Omni Flash. The model identification is gemini-omni-1.1-flash. It can generate or edit videos through text, image, audio and video input, and supports multiple rounds of dialogue modifications. It performs different tasks with the data understanding model that also belongs to the Gemini series and cannot be directly interchanged by brand name.

The official overview states that the Veo 3.1 Preview related interfaces in the Gemini API will be offline on October 22, 2026. It is recommended to migrate to Omni Flash or the official model of the designated platform. This note is for the preview interfaces listed and should not be extended to the entire Veo family being discontinued.

What is suitable for conversation editing (ChinaOPC analysis)

Small content service teams often encounter modification requirements such as "keep the subject and only change the background" or "keep the action and adjust the lens". Dialogue editing is a candidate for this type of task, but each round should describe what needs to change and what needs to be retained. If the customer proposes multiple modifications at once, break them into steps that can be independently confirmed. This will make it easier to determine which step introduces deviations.

You can first make an internal proposal video using product materials that you have the right to use. Characters, object shapes, scenes, subtitles and sounds are listed as acceptance items respectively; the clips generated by the model are only materials to be reviewed, and product information or customer copywriting cannot be deemed correct just because the picture is smooth.

Migration first verifies a complete round trip

Migration involves more than just changing the model name. You should check the request structure, material uploading, reading of generated results, retrying on failure, and how to bring the results of the previous round into the next round of editing. Prepare the same set of authorized materials, test the first generation and subsequent modifications respectively, save the output file and requested version, and confirm that the business program can find the correct deliverables.

Ongoing orders also record what content has been confirmed by the customer. Redoing all shots after switching may change the approved character or product appearance; a more appropriate arrangement is to determine the switching boundaries, create a new version record for the unfinished parts, and retain the old files for comparison.

Cost calculated based on final available fragments

During the trial, the number of times of generation, number of reworks, waiting time and manual editing time were recorded. The cost of one generation is not equal to the cost of a publishable video. Access regions, account permissions, model status and material usage requirements should be checked on the actual console; this article introduces official documents and verification ideas, and does not promise that the same results will be obtained after migration.

Related model reading

Compare Wanxiang video workflow; Distinguish Gemini data understanding ability. For more information, see AI Model Column.

Sources and editorial notes

AI-assisted organizing and writing. The model characteristics and version arrangement are based on the official information at the end of the article. The task design and verification suggestions are original analysis by ChinaOPC. There is no paid API review, and the manufacturer's examples or performance readme will not be written into the team's actual measurement results. English translation of the Chinese edition, prepared with machine assistance and editorial checks. Source verification dates refer to the original Chinese research.

Source titles and publisher names are retained in their original language. Refer to the linked originals for official documents and current requirements.

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