Gemini Omni is Google DeepMind’s newly launched family of flagship generative AI models unveiled at Google I/O 2026. Billed as Google’s ultimate move in multimedia, Gemini Omni is an “any input to any output” foundation model. It merges Google’s advanced semantic reasoning with highly realistic, physics-grounded video, audio, and image generation.

You can think of it like Google’s version of a text-to-video studio, except it is built directly into the consumer apps you already use.

Traditional AI models require you to use text to generate a video. Gemini Omni completely eliminates this limitation by accepting any combination of text, image, video, and audio reference files simultaneously into a single prompt

• Multi-File Referencing: You can upload five different character photos, a sketch of a background, and a text prompt. Omni will combine them into a single, cohesive video while keeping character appearances and surroundings perfectly consistent across scenes.
• Audio-Grounded Visuals: By uploading an audio voice track or environmental soundscape, the model syncs the generated video’s pacing and lip movements natively to match the audio’s physical beats.

One of Omni’s most disruptive features is how it handles video editing. Instead of forcing you to re-generate an entire clip from scratch because of a small mistake, it behaves like conversational Photoshop for video.

• Iterative Building: You can upload an existing video (like a video of yourself walking down a street) and talk to the AI to modify reality.
• Targeted Tweaking: You can prompt: “Keep the background exactly the same, but change my jacket to a leather jacket” or “Make the lights dim to become nighttime right when my hand opens”. The model alters only the specified objects without disrupting the rest of the clip.

Unlike older video generators that suffer from weird hallucinations or gravity-defying glitches, Gemini Omni applies an intuitive understanding of physics.

• True-to-Life Simulation: The model accurately maps fluid dynamics, momentum, kinetic energy, and lighting reflections. If you generate a scene with water or an orbital glass object, shadows and light refraction adjust accurately in real-time as objects move.
• Concept Translation: Because it is tied to Google’s massive core knowledge database, you can prompt it to explain highly complex abstract ideas visually. For instance, it can accurately animate a claymation explainer video detailing how proteins fold at a molecular level.

Gemini Omni natively supports the creation of reusable AI Avatars. Users can upload a quick video of themselves to generate a high-fidelity digital twin. This digital avatar can then be cast across multiple newly generated videos, accurately speaking or interacting within entirely fictional prompts while preserving your distinct voice and identity.

Google is deploying the Gemini Omni family in structured phases:

• Gemini Omni Flash: The first lightweight, hyper-fast version of the model. It is out now and has officially replaced previous models as the default video generation engine across the Gemini App, Google Flow, and YouTube Shorts.
• Google Flow & Workspace: Google Cloud and Google Flow creatives on paid Google AI subscription tiers have full, unrestricted access to iterate with Omni Flash conversationally starting today.
• Gemini Omni Pro: Google confirmed that the larger, high-computing “Pro” version of the model is currently in training and will be rolled out later in the year.

Edit & Create Videos with Gemini Omni

Gemini Omni model will transform your existing content into something extraordinary. With just your imagination and natural language, Omni can create anything from any input, starting with video. In this video, you’ll see how Gemini Omni can: Maintain visual consistency: Watch how Omni transforms a simple biking video while keeping the original footage and lighting consistent. Reasoning in action: Omni analyzes a skateboarding clip and perfectly times effects when the skater lands a trick, without having to be directed to Apply real-world physics: Discover how the model adds a realistic, interactive glass orb to a video of a moving hand, accurately rendering lighting, checkerboard reflections, and physics

Introducing your Agent and Gemini Omni in Google Flow

Meet your new agent in Google Flow: your creative partner that can plan and reason through complex tasks with your inputs, all while under your direction. Built with Gemini models, it brings expertise and a deep understanding of your project to help with early brainstorming, creating and editing. Whether crafting dialogue or tweaking multiple creative assets at once, your agent is ready to help bring your visions to life. Also introducing our Gemini Omni Flash model.

It combines Gemini’s intelligence with our generative media models – and is a leap forward in world understanding, multimodality, and editing. For creatives using Google Flow, Omni Flash allows you to blend real-world inspiration with generated content and iterate conversationally. Omni Flash also improves character consistency, meaning identity and voice are preserved across every scene.