Gemini Omni

AI AssistantsPodcastsVideo Editing
Free

Multimodal family of Google models that combines text, code, images, video, and audio processing in a single system.

Overview

Gemini Omni

Description of the Gemini Omni neural network

Gemini Omni is a multimodal family of models from Google (DeepMind) that combines work with text, code, images, video, and audio in a single system. Unlike separate tools tailored to one type of content, Omni allows mixing different formats within a single request. For example, a user can edit a video, create an image from a sketch, or generate an educational podcast based on documents and images. The first public version was the lightweight fast model Gemini Omni Flash, which began gradually rolling out to Gemini users right on the day of the announcement.

Gemini Omni characteristics

CharacteristicValue
TypeMultimodal model
DeveloperGoogle (DeepMind)
CategoriesAssistants, Video, Images, Music and sounds
Content processingText, code, images, video, audio
Pricing modelFree / From $19 per month
First public versionGemini Omni Flash (lightweight fast model)
Date added to siteMay 19, 2026

Who is the Gemini Omni neural network suitable for?

Video content creators

Authors and editors who need to edit videos, add visual effects, or work with mobile clips get everything they need in one interface without switching between different programs.

Designers and illustrators

Professionals who create images from text descriptions or sketches can use Gemini Omni to generate illustrations and visual compositions right in the process of working with other content types.

Educational projects

Teachers, bloggers, and instructional designers who need to turn documents and images into podcasts or interactive learning materials can do this without complex editing or third-party services.

How to use the Gemini Omni neural network?

First launch

The first public version was Gemini Omni Flash. The model began gradually rolling out to Gemini users right on the day of the announcement. To access it, you just need a Google account and a suitable subscription plan.

Working with mixed requests

Users can upload photos, video, text, and audio in a single request — the model processes them as a unified context. This allows, for example, uploading a video file along with a text instruction, so the model makes changes based on the text description.

Usage modes

The tool supports both a regular chat interface and direct editing of uploaded materials. To generate a podcast, simply provide documents or images, and the model will create voice content based on them.

Main features of Gemini Omni

Multimodal operation

The model understands and generates text, images, video, audio, and code. It can work with several content types simultaneously, using them as a unified context for a response or transformation.

Video editing

Gemini Omni can modify existing clips and add visual effects. This allows refining mobile videos without professional video editors.

Image generation

The model creates images and illustrations from text descriptions or based on sketches. It supports different styles and levels of detail.

Audio processing

Support for generating and processing voice content. Users can create podcasts from documents and images, as well as process audio recordings.

Creating virtual scenes

Gemini Omni can build interactive worlds and complex visual compositions from text descriptions — from educational scenes to entertainment spaces.

Mixed content support

Photos, video, text, and audio can be used simultaneously in one request. The model processes them as a single entity, opening up opportunities for complex creative tasks.

Advantages of Gemini Omni

Unified multimodal system

Gemini Omni combines different AI tools into a single system — you don't need to use separate models for different content types. This simplifies the workflow and reduces time spent switching between services.

Working with mixed content

The model can accept photos, video, text, and audio in a single request and use them as a unified context. This makes it possible to build complex requests where one content type complements another.

Video editing without third-party software

The tool can edit videos and add effects to mobile clips directly in the Gemini interface, without the need for professional video editors.

Generating podcasts from documents

The model can generate educational podcasts based on uploaded images and documents, simplifying the creation of audio content for learning and presentations.

Creating virtual worlds

Users can create interactive virtual scenes and worlds from text descriptions — this opens up new opportunities for game design, education, and idea visualization.

Disadvantages of Gemini Omni

At the moment, Gemini Omni is still in the early stages of public access. The first released version was the lightweight Flash model, so the capabilities of the full version remain limited and may not be available to all users. Information about the exact timeline for expanding functionality and geographic availability has not been disclosed at this time.

What tasks does Gemini Omni solve

Working with different content types

The model handles processing text, images, video, audio, and code within a single system, eliminating the need to use several disparate tools.

Video editing and adding effects

Users can make changes to finished videos and add visual effects without professional software.

Generating images from descriptions

Gemini Omni creates images and illustrations from text descriptions or based on sketches, which is useful for design, presentations, and idea visualization.

Generating and processing voice content

The model lets users create and process voice content, including generating educational podcasts from images and documents.

Creating interactive virtual scenes

Users can generate virtual worlds and complex visual compositions from text descriptions, suitable for educational, entertainment, and presentation tasks.

Gemini Omni pricing

The Gemini Omni model is available under two subscription plans: basic functionality is free, and expanded capabilities start at $19 per month. The exact limitations of the free plan and the composition of the paid subscription have not yet been officially disclosed.

Terms of use for Gemini Omni

Use of the model is governed by Google and Gemini policies. Like other company tools, Gemini Omni requires a Google account. Detailed terms of use, including restrictions on commercial use and copyright for generated content, should be checked on the developer's official website.

Availability of Gemini Omni

The first public version was Gemini Omni Flash, which began gradually rolling out to Gemini users right on the day of the announcement — May 19, 2026. Access to the model is provided as it rolls out and may vary depending on the region and subscription plan.

How Gemini Omni differs from alternatives

Unlike tools such as Luma, Hailuo AI, Affinity, or Higgsfield for Figma, Gemini Omni is a unified multimodal system rather than a tool for one narrow task. It combines video generation, editing, image processing, audio, and code within a single interface. Alternatives, as a rule, are tailored to a specific content type: some specialize in video, others in images or design. Gemini Omni makes it possible to mix formats in a single request and process them as a unified context, which is its key difference.

Conclusion

Gemini Omni is a new generation of Google's multimodal models that combines work with text, images, video, audio, and code in a single system. The first public version (Gemini Omni Flash) is already rolling out to Gemini users. The tool offers a wide range of capabilities: from video editing and image generation to creating podcasts and interactive virtual scenes. Thanks to mixed content support in a single request and a unified system instead of a set of separate tools, Gemini Omni can become a universal solution for content creators, designers, and educational projects.

video editing
Text-to-video generation
Image creation
Podcast generation from documents
Work with code and text in a single request

Frequently asked questions

See also