What Is Google Gemini Omni? Features, How to Use It, Pricing & Video Limits

Making an AI video used to mean describing the whole thing in one shot, and changing a single detail often meant regenerating the entire clip. Google's Gemini Omni flips that: you generate a first version, then give instructions one line at a time, like a chat, and the footage updates while staying consistent from scene to scene. Google officially describes it as "Nano Banana, but for video." If you've used Nano Banana to edit images — type a sentence, the image changes — Gemini Omni brings that same instinct to moving pictures.

This guide walks through what Gemini Omni is, what it can actually do, how to get started, how much it costs (and whether it's free), how it stacks up against Veo, and the limits you should know about.

Image source: Google DeepMind (official)

Gemini Omni is Google's newest multimodal AI model for video generation and editing, and the model version behind it is called Gemini Omni Flash. It's built on Gemini's own understanding of the world and its native multimodality, so it does more than turn text into video — it reads the images, clips, and audio you give it and weaves them into one coherent result.

Its defining trait is conversational generation. With traditional text-to-video tools, a single prompt makes or breaks the output; Gemini Omni lets you "see it, then change it." After the first version, you can add "make the background night," "switch to an over-the-shoulder angle," or "swap this character," and every edit builds on the previous version rather than starting from scratch. That's exactly why Google likens it to Nano Banana: Nano Banana turned photo editing into a conversation, and Gemini Omni extends that "fix it as you chat" experience to video.

One thing worth knowing up front: Gemini Omni Flash will replace Veo 3.1 as the primary video generation and editing model inside the Gemini app.

Image source: Google DeepMind (official)

Gemini Omni's capabilities boil down to four areas.

Mix text, images, video, and audio into one video

You're not limited to plain text. Gemini Omni accepts any combination of text, images, video, and audio as input and merges it into a single video. For example, you can drop in a character image, a reference clip for the motion, and a line describing the style you want, and it will blend those into one shot; you can use up to 5 reference photos. It also generates sound natively, so visuals and audio come out together instead of being dubbed on afterward.

Keep editing your video through multi-turn conversation

This is Gemini Omni's signature ability. After a video is generated, you can issue edits turn by turn — swap a character, adjust the lighting, stabilize the shot, replace the background, add an effect — and the model keeps the whole scene consistent, so it feels like talking to an editor who nudges the shot toward what you want. It also supports video-to-video editing, meaning you can feed in an existing clip and change it directly.

Grounded in world knowledge and physics

Gemini Omni doesn't just aim to "look right" — it understands how the real world behaves. On one hand, it has an intuition for physics like gravity, momentum, and fluids, so motion looks more natural. On the other, it inherits Gemini's grasp of history, science, and cultural context, so it can present knowledge-based content in a structured way — for instance, a claymation-style explainer about how protein folding works.

Change scenes, actions, styles, and objects

A single sentence can substantially rework what's on screen: transform the overall art style (turn live action into line art, 3D voxel, or a holographic look), reset what's happening in the shot, transfer the motion and style from a reference image or clip, or even replace a specific character or object while the rest of the frame stays coherent.

Image source: Google DeepMind (official)

Wondering how to get Gemini Omni and start creating? It's currently available in the Gemini app and Google Flow (Google's AI creation studio). Here's the simplest flow.

Step 1: Open the Gemini app or Google Flow

Sign in to the Gemini app with your Google account, or head to Google Flow. Using the full Gemini Omni features in these two entry points requires a paid plan (to try it free first, use YouTube Shorts / Create) — more on that in the pricing section below.

Step 2: Select Gemini Omni Flash

In the video generation interface, switch the model to Gemini Omni Flash. Inside Google Flow, it shows up as one of the available video generation models.

Step 3: Enter your prompt and upload references

Type a description of the shot you want and, if needed, upload reference material — images (up to 5), a clip, or an audio file. The more specific your instruction (subject, action, camera, style, sound), the closer the result lands to what you pictured.

Step 4: Generate the first version

Once you submit, Gemini Omni produces a first version of roughly 10 seconds. Treat it as a draft — it doesn't have to be perfect on the first pass.

Step 5: Refine by conversation and download

If something's off, just say it: "change the background to a beach," "pull the camera back," "make this object red." The model edits while preserving the original scene. When you're happy, download and use it.

Here's the short answer: Gemini Omni has a free route and a paid one, and which you get depends on where you use it. Want to play on YouTube? You can touch it for free. Want the full features inside the Gemini app or Google Flow? That's where a paid plan comes in. Below is the breakdown, with US pricing.

Can you use Gemini Omni for free?

Yes, depending on the channel. YouTube Shorts and the YouTube Create app offer a free Gemini Omni Flash experience — as long as you're 18 or older, no subscription is needed to try conversational video generation. It's the lowest-barrier way in.

Inside the Gemini app and Google Flow, though, the full video generation and multi-turn editing features require a paid Google AI subscription. A purely free Google account in Gemini mostly gets basic Omni Flash, and video generation tends to hit long queues and low daily quotas. For stable, full access, you'll want to start at Google AI Plus.

Google AI Plus vs Pro vs Ultra

All three tiers can use Gemini Omni Flash; the differences are mainly usage limits, Google Flow credits, and other perks. Using US pricing as a reference:

To use the full features stably inside the Gemini app or Google Flow, the cheapest entry is Google AI Plus at $4.99/month. Google also runs frequent new-subscriber discounts (for example, 50% off the first year of AI Pro), so it's worth checking the current offer. Plans can also be shared with up to 5 family members, which lowers the per-person cost.

Two things to note:

1. How usage is metered: usage in the Gemini app is measured by "compute," which varies with prompt complexity, the features you use, and conversation length. It resets every 5 hours until you hit a weekly cap, and you can buy extra AI credits when you run out.

2. Feature differences: some features vary by plan tier, platform (web vs mobile), and region, so treat the official subscription page as the source of truth for what's actually included.

People often mix up Gemini Omni and Veo, since both are Google video models. The simple split:

• Gemini Omni Flash is the new multimodal generation-plus-editing model that replaces Veo 3.1 inside the Gemini app. Its strengths are multimodal input, conversational multi-turn editing, and an understanding of world knowledge and physics — ideal for a "generate first, then refine line by line" workflow and for merging several assets into one video.

• Veo (including Veo 3 / 3.1) is Google's specialized model on the cinematic generation track, focused on high-quality text-to-video.

Which should you choose? If your work is about editing as you chat, reworking existing assets, and keeping footage true to real-world logic, Gemini Omni is the smoother fit. If what you want is "one sentence straight into a cinematic-looking shot," the Veo approach still has its place. For most people creating inside the Gemini app, Gemini Omni is what you'll reach by default now.

Image source: Google DeepMind (official)

A reusable prompt structure

• Subject: the people, objects, or scene in frame.

• Action/Trigger: what happens, or a "when X happens" condition (e.g., "when the hand opens, a planet appears in the palm").

• Camera angle: movement and framing, e.g., "slowly push in," "over-the-shoulder."

• Style/Material: photoreal, line art, claymation stop-motion, 3D hologram, and so on.

• Audio: background music, or "realistic ambient sound only, no score."

• Constraints: length (e.g., 10 seconds), aspect ratio (e.g., 16:9), and what you don't want to appear.

Fill in all six slots and the output becomes noticeably more controllable.

Examples by scenario

• Product feature: a skincare bottle rotating slowly on a white background, soft studio lighting, a gentle push-in, photoreal style, light background music only, 10 seconds, 16:9.

• Knowledge explainer: explain a science concept in claymation stop-motion, everything made of clay, no hands in frame, visuals synced to the narration, no abrupt audio cut at the end.

• Physics simulation: a single continuous shot of a marble rolling fast along a connected track, real collision sounds only, no music.

• Style transfer: take a live-action clip and instruct, "when the person touches the mirror, the whole environment turns into a 3D voxel style," with the rest of the frame unchanged.

Before and after across multiple edits

Gemini Omni's value is in the multiple turns. Here's a sample flow: start with a clip of a violinist as your input → (turn 1) "move the player into a wheat field" → (turn 2) "make the violin transparent" → (turn 3) "shoot from behind the player's shoulder." Each turn changes just one thing, and the model carries the previous version forward, so you can clearly see the difference at every step instead of getting a brand-new clip that no longer matches.

Image source: Google DeepMind (official)

Even a strong tool has edges — knowing them keeps you out of trouble.

How long a video can Gemini Omni make?

Right now, Gemini Omni generates roughly 10-second clips per run. For longer content, you'll practically need to generate several segments and stitch them together yourself.

Complex action and multi-person scenes can be unstable

Although Gemini Omni has a decent grasp of physics, fast, complex, or multi-person scenes with lots of interaction remain a shared weak spot across every AI video model, and can show up as choppy motion or misplaced details. When that happens, simplify the shot or fix it step by step with multi-turn editing.

On-screen text, voiceover, and audio-sync limits

By design, Gemini Omni can line up "text on screen" with "what's happening" and can generate voiceover. In practice, though, on-screen text — especially non-Latin scripts — can still come out with typos or distortion, and syncing narration with lip movement or action isn't always perfect in complex scenes. For anything that hinges on precise text cards, check each clip.

Plan quota and generation-speed limits

As covered in the pricing section, the Gemini app bills by compute, resetting every 5 hours up to a weekly cap; Google Flow runs on credits (200 for Plus, 1,000 for Pro, 10,000–25,000 for Ultra). Usage and generation speed differ by tier, so heavy users should watch their quota.

SynthID and C2PA content labeling

Everything generated or edited with Omni through the Gemini app, Google Flow, or YouTube carries Google's SynthID invisible watermark and C2PA Content Credentials. These marks are invisible to the eye but can be used to identify whether content was made by Google AI — you can even send a file back to Gemini to ask whether it's AI-generated. For commercial use or anywhere you need to disclose AI content, factor this in.

Is Gemini Omni available in my country?

Likely, yes. Gemini Omni is rolling out in all countries and languages where the Gemini app is available. Users need to be 18 or older and on a Google AI Plus, Pro, or Ultra plan. Note that some features, such as avatars and video-to-video editing, may be restricted depending on your region.

Does Gemini Omni support prompts in my language?

Yes. Gemini Omni works in all languages supported by the Gemini app, so you can prompt in your own language. As noted above, though, text rendered inside the video can still contain mistakes — that's a separate issue from whether it understands your spoken instructions.

Does Gemini Omni add a watermark?

Yes, but an invisible one. Every output carries a SynthID invisible watermark and C2PA Content Credentials. There's no visible logo on the frame — the marks exist to identify whether the content was generated by Google AI.

Gemini Omni moves AI video from "describe it all at once, then start over" to "generate first, then refine by conversation," which is a clear efficiency gain for anyone who edits in iterations. Start with a simple 10-second draft and get comfortable shaping the shot one line at a time — it's an easier way in than trying to write the perfect prompt from the start.