Gemini Omni Flash Extends Video to 40 Seconds in Its August 27 GA: The Preview Shut Down October 22

The Ten-Second Ceiling Just Became Forty

On August 27, 2026, Google released gemini-omni-1.1-flash, the generally available version of Gemini Omni Flash, and moved three of the limits that had bounded the model since June. You can now extend a clip in 10-second increments, up to a cumulative 40 seconds. You can also pin the first and last frame of a shot and let the model generate the transition between them. And output resolution became a parameter, running from 360p through 4K. In the same release note, Google put a date on the old model, saying the gemini-omni-flash-preview endpoint would be deprecated on September 30, 2026.

Google released Gemini Omni 1.2 Flash on November 5, 2026, and we cover it in our Gemini Omni 1.2 Flash post.

The September 30 deadline was the most actionable line on this page when we updated it on September 1. Google's deprecations page, read November 6, 2026, lists gemini-omni-flash-preview as shut down on October 22, with gemini-omni-1.2-flash as the recommended replacement. The same table gives gemini-omni-1.1-flash its own shutdown date, December 3, 2026. From that day, Google's docs say, its API calls go to 1.2 automatically, with no code changes required, at 1.2's rates.

Everything else is the interesting part, and we'll take it in three steps. We'll go through what the GA release actually changed, separate the real capabilities from the ones that sound bigger than they are (4K, for one, is upscaling), and put all of it next to the ad-making workflow the model already runs inside, because the gap between a longer clip and a converting ad is the whole story.

What the GA Release Changed, and the Deadline It Set

The June preview generated short clips with sound and let you talk to them. The GA release keeps all of that and adds control. Four things changed, and one of them is a date.

Scene extension: 10 seconds at a time, to a 40-second total

This is the capability that reframes the model. Google's announcement puts it plainly: "You can extend videos in 10-second increments up to a total cumulative length of 40 seconds." That alone would be useful. The part that makes it work is underneath. Google says "the model can now analyze up to 10 seconds of prior context," and calls that a leap from previous models that only referenced the final second.

Going from one frame of context to ten seconds of it is what separates a continuation from a cut. A model that only sees the last frame can match a pose. A model that sees the last ten seconds can match a camera move, a lighting drift, a musical phrase, and a gesture that was halfway through.

The API docs describe the same feature from the other side. Extension works by "generating a seamless continuation at the tail end of the clip," and the model "creates an extension that keeps video, motion, characters and audio coherent by using the last 10s of your original video as context."

Before you build around 1.1, it's worth knowing three constraints, all stated in Google's own limitations section in October:

• Tail only. "Video extension is limited to appending to the end of a video; prepending or extending the middle of a clip is not supported."
• 10 seconds of uploaded source. "Input videos for editing and extension must be 10 seconds or less when uploading," unless you were extending a video the model itself generated in a multi-turn session (per the Internet Archive's copy of the page from October 23, 2026). When we read the page on November 6, 2026, it described 1.2 and said instead that "Uploaded and model-generated input videos for editing must be 15 seconds or less." Google's model page still lists 1.1's video input as up to 10 seconds for editing and extension.
• No new dialogue on an uploaded talking clip. Google says you can't extend an uploaded video where someone is talking to add additional dialogue.

That last one matters more for ad-makers than the first two, and we'll come back to it.

First and last frame: you now specify both ends of the shot

The second addition is interpolation. Google's guide says Gemini Omni Flash "supports video interpolation, allowing you to generate a video that transitions smoothly between a starting image (first frame) and an ending image (last frame)." You supply two images in the input list, describe the transition, and the model animates from one to the other. The announcement frames the use case as "complex camera orbits, zoom transitions, or seamless looping clips," because "Omni 1.1 generates continuous video between two keyframes."

Look closely at what's promised. Google's release notes describe it as generating "a video transitioning between two images using the image_to_video task with up to 2 images." So it's two-image interpolation, without a full keyframe timeline. You control both ends of the shot, but no frame in between.

If you've re-rolled the same prompt eleven times waiting for a camera move to land, this is the more valuable of the two headline features. Extension makes clips longer, but interpolation makes them repeatable, because the two things you were relying on luck for (where the shot starts and where it ends) are now inputs.

Resolution control, and the word Google used

The third addition is a resolution parameter in the video config, supporting 360p, 720p (the default), 1080p and 4K. On the model page, the 1.1 entry lists output as 3 to 10 seconds at 360p, 720p, 1080p or 4K, at 24 fps.

Read the sentence Google appended to that release note: "1080p and 4K outputs are generated using upscaling." The model page used the same word when the Internet Archive copied it on October 25, 2026, describing support for "video extension, resolution upscaling, and advanced interpolation." Read on November 6, 2026, the same sentence says "up to 4K output resolution" instead. So 4K here is a finishing step applied to a render, and the model isn't synthesizing native 4K. That's not a knock (upscaling is exactly what most production pipelines do anyway), but it does mean 4K won't recover detail the 720p pass never had. Judge the model at 720p and treat the top tiers as delivery formats.

The genuinely interesting number is at the bottom of the ladder, though. Google says the 360p tier generates "lightweight previews" up to 60% faster and "at a third of the cost compared to Omni 1.1's standard 720p resolution." A draft tier at a third of the price changes how you work, and it changes it in exactly the direction ad testing already pulls.

When the preview shut down

On August 27, 2026, Google's release notes said, "The existing gemini-omni-flash-preview endpoint will be deprecated on September 30, 2026." Google's deprecations page, read November 6, 2026, lists the preview among its shut-down models, with a shutdown date of October 22, 2026, and gemini-omni-1.2-flash as the recommended replacement.

In practice, the migration looks like this:

	Preview (shut down)	GA (1.1)
Model ID	gemini-omni-flash-preview	gemini-omni-1.1-flash
Status on November 6, 2026	Shut down October 22, 2026	Stable, routing to 1.2 from December 3, 2026
Scene extension	No	Yes, to a 40-second cumulative total
First and last frame	No	Yes, two images
Resolution control	No	360p / 720p / 1080p / 4K (top two upscaled)
Released	June 30, 2026	August 27, 2026

If you built anything on the preview ID in July or August, that endpoint is gone. And gemini-omni-1.1-flash has a date of its own, December 3, 2026, when Google routes its calls to 1.2.

What Gemini Omni Flash Actually Is

Strip away two launch days of noise, and the model still does three things worth understanding before you decide what it means for your ads.

Video and synchronized audio, from one text prompt

The core capability hasn't changed since June. Gemini Omni Flash "creates video with synchronized audio from text input." That's the sentence that matters. Earlier text-to-video models handed you a silent clip and left the sound design to you. Omni Flash generates the picture and the audio in the same pass, from the same instruction. Google describes it as drawing on "Gemini's knowledge such as history, biology and narrative logic to construct compelling videos," which is a fancy way of saying the model knows how the world tends to look and sound, so the two tracks tend to agree.

For an ad-maker, the practical win is one fewer step between a generated scene and a usable asset. A poured drink can fizz. A door can thud. You're not stitching foley onto silence. The same holds when you extend a clip. Google's own prompting guidance for extended scenes tells you to describe the audio in the new section, because the music carries across the seam too.

Grounded in Gemini's knowledge, tuned for physics

The second thing Google is selling is coherence. The model is "grounded in Gemini's real-world knowledge, with improved physics understanding for more coherent motion and interaction." In Google's own words, "Omni has an intuitive understanding of forces like gravity, kinetic energy, and fluid dynamics for more realistic movement."

Physics is where cheap video models usually give themselves away. Think of a liquid that smears instead of pouring, a product that melts into a hand instead of resting in it, or a bottle that drifts a centimeter between frames. Those are the tells a viewer's eye catches in the first second, and they're exactly the artifacts a better physics prior is meant to reduce. If you've compared model outputs before, this is the axis that separates a clip you can run from one you quietly delete. Our breakdown of Seedance 2.0 versus Veo for ads walks through why motion quality, not resolution, is the thing to judge.

Extension raises the stakes on this axis rather than lowering them. A physics error in a 6-second clip is a clip you throw away. A physics error at the seam of a 40-second chain is 30 seconds of good work you throw away with it.

Conversational editing, and the ceiling that moved

You don't have to re-roll the whole clip to change one thing. Google added "conversational video editing," which lets you "refine and edit videos using natural language," and you can "combine inputs like images, text and video to maintain control and consistency over your scene." That's a real workflow improvement, because you can iterate by talking to the clip instead of regenerating from zero.

The catch was length. When the preview launched in June, Google's own line was that "Omni offers 10-second video generations currently, with longer durations coming soon." Two months later, "soon" arrived, but not in the shape that sentence implied. A single 1.1 generation is still 3 to 10 seconds on Google's model page. What changed is that the clip doesn't have to end there anymore. So on 1.1 the ceiling didn't rise. Instead, it turned into a chain. Google released Gemini Omni 1.2 Flash on November 5, 2026, and for that model the same page lists 3 to 15 seconds a generation.

That distinction is worth holding onto, because it decides what the model is good for. Forty seconds assembled from four continuations isn't the same asset as a forty-second take. What you get is four beats that agree with each other. For an ad, that's often better, and it's exactly how a good editor would have cut it anyway.

The Other Half of the Original Launch: Nano Banana 2 Lite

Google didn't release Gemini Omni Flash alone in June. The image model that came out with it is arguably the more quietly disruptive release, because it makes the front of the pipeline nearly disposable. And the GA release gave it a second job.

Four seconds, three cents an image

Nano Banana 2 Lite "delivers text-to-image outputs in 4 seconds" at "$0.034 per 1K image." The Decoder put it plainly: "Text-to-image generation takes four seconds and costs just $0.034 per image at 1K resolution." At three and a half cents, an image is close to a rounding error. You can generate fifty product mockups for the cost of a coffee and throw forty-nine of them away.

That matters for ads, because the still is where an angle starts. Before you commit a video budget to an idea, a cheap, fast image tells you whether the composition, the palette, and the product framing even work.

The image-to-video chain Google is pitching

Google isn't selling these as two separate toys. It recommends a chain: "Use Nano Banana 2 Lite as a high-speed image generation model, then pass that image as a reference to Gemini Omni Flash to animate it into a high-quality video." So you storyboard first and add motion second.

The GA release upgrades that chain in a specific way. Before, you handed the video model one image and hoped. Now you can hand it two (the opening frame and the closing frame) and describe the move between them. The cheap image model is now more than the storyboard, because it's also the pair of bookends that makes the shot deterministic.

What "Lite" gives up

"Lite" is a speed-and-cost tier rather than the flagship, so you're trading fidelity and headroom for throughput. It's built for ideation and volume, not for the single hero frame you'll blow up on a billboard. That makes it the right tool for the front of a testing pipeline and the wrong tool for the one asset that has to be perfect, so most of the skill is knowing which job you're doing.

What This Means for People Making Ads

Once the release touches a budget, it stops being a spec sheet. Three shifts matter.

The draft tier is the news, not the ceiling

Prices as of November 6, 2026. Google's pricing page bills 1.1 by output tokens, at $17.50 per 1M video output tokens. That's "calculated at a rate of 5,792 tokens per second of 720p video. Under standard pricing, this equates to an effective price of approximately $0.10 per second." So the familiar dollar-a-clip number survives the GA transition, with one important asterisk. The rate is defined against 720p, and underneath it's a token bill rather than a flat meter. The same page lists Gemini Omni 1.2 Flash at $12.00 per 1M video output tokens. Google puts that at approximately $0.07 a second at 720p. It also says that from December 3, 2026, calls to 1.1 are billed at 1.2's rates.

Now put the 360p tier next to it. If a preview costs a third of 720p, ten angles drafted at 360p cost roughly what three cost before. Don't mistake that for a rounding-error saving on a small number, because it changes what you're willing to try. The discipline it rewards is the one good creative teams already run. Generate wide and cheap, kill most of it, then spend the expensive seconds only on the survivor. Google's own suggested workflow says the quiet part out loud, describing a draft room where you "generate 3-4 draft variations in 360p, varying one thing at a time and compare them side by side."

But drafts aren't ads. Each surviving clip still needs a distinct hook, a script that sells a different benefit, an actor or scene that reads as native to the buyer, 9:16 framing, captions, and a beginning-middle-end that earns the last three seconds. The model call is the cheapest line in the budget. The expensive part (the one that used to cost a week of briefs and hundreds of dollars a clip when you hired it out) is everything wrapped around it. Our guide to what UGC creators actually charge shows how steep that wrapped cost gets when a human does it.

Run the same math the other way. Inside an ad workflow like Novoads, a finished, ready-to-post clip costs from about 25 cents for a five-second Seedance 2.0 Mini clip to about $4 for an eight-second Google Veo 3.1 clip. In the same workflow, a full 30-second Seedance 2.5 take is about $10. Set that next to the bare cost of the same seconds of raw output and the ranges overlap. What the clip price buys beyond the bare generation is the script, the actor, the accent, the captions, the format, and the credits accounting that turn it into an asset you can hand to a media buyer. The lesson repeats every time a cheaper or longer model comes out. The floor on raw video keeps dropping, and the work that sits on top of it keeps its value.

Forty seconds is a different edit, not a longer clip

The temptation with extension is to treat it as permission to make long ads. Resist it. Paid social rewards the first three seconds rather than duration, and a forty-second chain that earns its length is rarer than a six-second one that lands.

Where the 40-second ceiling really helps is structure. A UGC ad has beats: hook, problem, product, proof, call to action. Before, each beat was a separate generation you had to match in the edit. Now a beat can continue from the one before it with ten seconds of context behind it, which is the difference between assembling shots and directing a sequence.

One limit here lands squarely on the UGC use case, and it's worth reading twice. Google says you can't extend an uploaded video where someone is talking to add additional dialogue. So the obvious idea (take a talking-head clip and extend the monologue) is explicitly out of scope, which makes extension a tool for scenes rather than speeches.

A clip is still not an ad

Every price drop tempts you into this trap. Cheaper, longer, sharper raw video makes it feel like the hard part is solved, so people generate a gorgeous forty-second scene, post it, and wonder why it doesn't convert. The problem was never the scene but the hook, the angle, and the trust signal, and no amount of physics realism or upscaled resolution supplies those.

A converting ad is an argument delivered by someone the viewer believes, in the format the platform rewards, tested enough times to find the version that works. A text-to-video model gives you one ingredient of that. It's a better one than it was in June, but it's still just one. Our comparison of AI video ad platforms covers where each type of tool fits.

Where It Sits Next to the Models Novoads Already Runs

A new frontier video release isn't a threat to a model-agnostic workflow. In this case it isn't even a new option, because the model is already here.

Omni Flash is already one of the models in the picker

Novoads runs Gemini Omni Flash as one of its video models, next to Seedance 2.5, Seedance 2.0, Seedance 2.0 Mini, Kling v3 Pro, Wan 3.0 and Google Veo 3.1, plus a talking-actor engine for spokesperson clips. So rather than a model you'd have to go get, it's one you can pick in the generator today, and as of November 6, 2026, it's the model the editor opens on.

As of November 12, 2026, Omni Flash in Novoads runs Google's newer Gemini Omni 1.2 Flash. The editor calls it Omni Flash, with no version number, and the credits are the same as on 1.1.

It's more important to be precise about what we actually offer than to claim the whole GA feature list. As of November 12, 2026, these are the Omni Flash settings in Novoads:

• Length: 4, 6, 8 or 10 seconds.
• Aspect: 9:16 or 16:9, defaulting to vertical.
• Resolution: 360p, 720p (the default), 1080p or 4K, in the editor's picker since October 2, 2026.
• Inputs: a prompt, up to six image references (five with a video reference), and one video reference, or a first frame with an optional last frame in place of the references.
• Price: 24 credits for the default 8 seconds at 720p, and the other lengths and resolutions in the table below.
• Not among our options: scene extension.

Omni Flash credits	4 seconds	6 seconds	8 seconds	10 seconds
360p	4	6	8	10
720p (default)	12	18	24	30
1080p	18	27	36	45
4K	36	54	72	90

Google adding a capability to its Developer API isn't the same as that capability reaching every surface that serves the model, and saying otherwise would be a promise our generator doesn't keep.

Model-agnostic beats single-model

The frontier moves every few weeks, and there's no predicting which model will win your next test. A tool that lets you pick per shot beats one welded to a single engine. Here's how a few of the models map to the actual job in an ad:

Model	Best-fit ad job	Runs in Novoads today
Gemini Omni Flash	Short scene shots with sound	Yes
Google Veo 3.1	Premium scene and product shots	Yes
Seedance 2.5	Cinematic product motion	Yes
Seedance 2.0 Mini	High-volume cheap variations	Yes
Kling v3 Pro	Motion-heavy B-roll	Yes
Talking actor	A person selling to camera	Yes

The row that matters most is the last one. Every model above it makes scenes. Only the talking-actor job makes the spokesperson, and that's the format most UGC ads are built around. It's also the row Google's own extension limitation quietly points at. When a scene model can't add dialogue to a talking clip, that tells you which half of the problem it solves.

If you want the texture of how these engines differ, our explainers on what Seedance 2.5 does and the open-weights LTX-2.3 model show how fast the frontier is moving and how similar the headline pitches have become. Every new model now promises synchronized audio and better physics.

The part no raw model gives you

A raw API call hands you a clip. It doesn't hand you an actor library, a script matched to a buyer, lip-sync, a native accent, vertical framing, captions, or the credits accounting to run a hundred variations without babysitting each render. Those are the pieces that stand between a model output and a launched ad, and they're the same pieces whether the underlying clip runs ten seconds or forty.

There's also a compliance layer that the per-second price hides. Both Google models tag their output with SynthID watermarking, and for advertisers that isn't a footnote. TikTok, Meta, and other platforms increasingly ask you to disclose AI-generated content, and the label follows the file. A workflow that already thinks about format, captions, and disclosure is doing work the model call doesn't. The trend line is clear. As generation gets cheaper, longer, and more realistic, the value shifts up the stack, toward the layer that assembles, localizes, and ships the ad responsibly.

How Novoads Turns Model Horsepower Into an Ad

The frontier keeps getting cheaper and longer, but it doesn't assemble itself into something a buyer clicks, and that assembly is the product.

Script and actor, not just a prompt

In Novoads, you write or auto-generate a script and pick an AI actor whose age, gender, and accent match your audience, and you get back a UGC-style vertical video with voice and lip-sync, plus captions as one more step (0 credits in the default style), formatted 9:16 for TikTok, Reels, and Meta. The headline time to a finished clip is about four minutes. You can also upload a product photo and turn it into an ad creative. The model underneath is a swappable component. The workflow is what makes the output an ad instead of a demo.

Native-local, in the buyer's own accent

The differentiator is depth rather than model count. Novoads makes native-local video ads in 30-plus languages with regional accents, so a clip sounds like a creator from the buyer's own city instead of a translated script read by a generic voice. A physics-aware scene model doesn't solve that, and neither does a 40-second chain. The accent and the delivery are a different axis, and it's the one that decides whether a testimonial reads as trustworthy. As platforms tighten disclosure rules for AI-generated ads, that native-local trust signal becomes more valuable.

Volume is the real unlock

The reason to care about a cheaper draft tier at all is testing, and testing means volume. A finished Novoads clip runs from about 25 cents for a five-second Seedance 2.0 Mini clip to about $4 for an eight-second Google Veo 3.1 clip. A full 30-second Seedance 2.5 take in Novoads comes to about $10. That's a fraction of a hired shoot, and cheap enough to run the many variations paid social actually rewards. Novoads starts at $15/month (Starter, 200 credits per month). Plus is $49/month (1,000 credits). For more volume, Ultra starts at $129/month (3,000 credits). Cancel anytime. The point isn't one perfect clip but never running out of angles to test.

The Model Is the Cheap Part

The GA release is a real step, with scenes that continue instead of stopping, shots with both ends specified, a draft tier at a third of the price, and a clear migration date on the endpoint it replaced. That endpoint shut down on October 22, 2026. From December 3, Google sends 1.1's own calls to Gemini Omni 1.2 Flash.

But the release also clarifies something each new capability tends to hide. When the raw clip runs longer, renders sharper, and drafts cheaper, the value has already moved somewhere else, to the script angle, the actor the buyer believes, the accent, the format, and the discipline to test until one version beats the benchmark. Google made the model better at forty seconds, but nobody made the first three any easier. The model is the cheap part. The ad is everything you build around it, and that's exactly the job of a workflow rather than a prompt.