Quick answer: Gemini Omni is Google’s conversational video model. Describe a change in plain language, a new camera angle, a different season, and it applies that change while trying to keep the rest of the scene intact. It launched at I/O 2026 as Gemini Omni Flash, and Google opened it to developers in late June through Google AI Studio, the Gemini API, and the Gemini Enterprise Agent Platform. Below: what it actually does, what five early builders have made with it, and honest answers to the questions people are typing into Google and ChatGPT about it right now.

What Is Gemini Omni?

Gemini Omni edits and creates video through conversation instead of one long, carefully engineered prompt. Feed it text, an image, a video, or audio, then keep talking to it: change the angle, swap an object, shift the lighting, try a different visual style entirely. Google positions it as Nano Banana’s counterpart for motion. Each new instruction is supposed to build on the last one rather than resetting the scene, though how well that holds up depends a lot on what you’re asking it to do.

What makes Omni different from a pure text-to-video generator is that it pairs an understanding of physics (how water moves, how light falls on a surface, how fabric folds) with Gemini’s broader knowledge, history, science, cultural references. In theory that’s why the output tends to hang together logically instead of just looking good for a couple of frames. In practice, it’s still early enough that “tends to” is doing real work in that sentence.

Gemini Omni vs. Veo vs. Nano Banana

A fair number of people searching “Gemini Omni” actually want to know how it stacks up against Google’s other generative models. Short version:

If you already know exactly what shot you want and can describe it in detail, Veo is probably still the better tool. Omni is for the messier, more common situation: you have a rough idea and want to shape it through back-and-forth edits instead of rewriting a full prompt every time something’s off.

Where Can You Access Gemini Omni?

Consumers get it through the Gemini app and Google Flow. Developers can reach it through Google AI Studio, the Gemini API, and the Gemini Enterprise Agent Platform. A Google AI subscription is required either way, and what’s actually included shifts by plan and region, so it’s worth checking your own account rather than assuming. Through the API, Gemini Omni Flash (gemini-omni-flash-preview) runs $0.10 per second of generated video. That happens to match what Veo 3.1 Fast costs.

Five Builders Putting Gemini Omni to Work

Google rounded up a handful of early-access projects worth a closer look. None of them prove much on their own, since they’re hand-picked highlights from Google’s own blog, but taken together they’re a decent map of what the model is actually good at right now.

Leon Lin’s project is about camera angles. Starting from a single shot of a woman standing in a city, he generated roughly twenty different perspectives of the same scene: close, wide, overhead, street-level. Some shots hold still, others move. The street around her changes too, cycling through sidewalks, crosswalks, different buildings and passing traffic. What’s genuinely notable isn’t the angle count, it’s that her appearance stayed consistent across all twenty, which is exactly where earlier video models tended to fall apart.

Carlos Santana went a different direction entirely and rewrote an environment using nothing but his voice. He took an outdoor daytime clip and talked it into night, added rain, turned the leaves orange, covered the ground in snow. No editing software involved, just conversational instructions layered on top of each other.

Then there’s the doodle project. A builder who goes by Pan sketched motion guides in Google Flow and let Omni animate ordinary objects according to those sketches. A lemon turns into a submarine. An espresso cup becomes a hot air balloon. Two chili peppers form a sleeping dragon. The drawings only guided the movement; they don’t show up in the finished clip. It’s the most obviously playful of the five, and also the easiest to imagine breaking down outside a curated demo.

Jerrod Lew tested style-shifting: a single continuous shot of a woman walking down a street that morphs from live-action into anime, then claymation, then a few other looks, all without interrupting her stride.

The Hyperagent example is the one actually worth paying attention to if you’re evaluating this for client work rather than curiosity. Their team layered a landscaping concept into footage of an empty park to build a before-and-after design proposal, animated a professor character walking through business dashboards, and turned a plain to-do list into a small game where a character clears off tasks. It’s less flashy than the others. It’s also the closest thing here to a real deliverable rather than a demo reel.

Current Limitations

Worth knowing before you build a workflow around this:

• Generations top out at 10 seconds right now, though Google says longer durations are coming
• Uploaded audio references and scene extension aren’t supported in the API yet
• Video references under 3 seconds are technically accepted but not processed reliably
• Character consistency can slip during big scene changes or heavy camera panning, and this is probably the limitation that matters most for anything beyond a short social clip

Frequently Asked Questions About Gemini Omni

What is Gemini Omni used for?

Video generation and editing through natural language. Build a clip from text, an image, video, or audio, then keep refining it: camera angle, objects in frame, lighting, overall style.

Is Gemini Omni free?

Not on its own. It needs a Google AI subscription, and what tier gets you access varies by plan and region. On the developer side, you pay per second of video generated.

How much does Gemini Omni cost through the API?

$0.10 per second for Gemini Omni Flash, the same rate as Veo 3.1 Fast.

How is Gemini Omni different from Veo?

Veo rewards precise, detailed prompts and tends to produce more cinematic single-shot results. Omni is built for iteration, refining a scene conversationally over multiple turns rather than getting everything right in one prompt.

Can Gemini Omni edit a video I already have, not just generate new ones?

Yes. Upload an existing clip and ask it to change specific things, camera angle, lighting, background, an object in frame, while leaving the rest of the scene alone.

Does Gemini Omni watermark AI-generated video?

Yes, when it’s created or edited in the Gemini app, Google Flow, or YouTube. It carries a SynthID watermark plus C2PA Content Credentials, currently checkable through the Gemini app, with Chrome and Search verification support said to be on the way.

What’s the difference between Gemini Omni and Nano Banana?

Nano Banana is for images. Omni applies that same conversational, iterative approach to video instead.

The Takeaway

Five demos from a company’s own blog post are, obviously, the best version of a story. What’s a bit more convincing than the visuals themselves is that at least one of the five (Hyperagent) is using Omni for something closer to actual client work than spectacle. Whether that holds up once more people outside Google’s spotlight start using it day to day is genuinely an open question. If you’re on the fence about testing it for your own content work, that’s probably reason enough to just spend twenty minutes with the Gemini app or Google Flow yourself rather than take a highlight reel’s word for it.