Gemini Omni vs Veo 3.1: Which One Should You Use?

If you only want a quick answer: for most people, Gemini Omni 1.2 Flash is the better starting point because it is free (in limited form) and built into tools you may already use, while Veo 3.1 is the better choice when you need native 4K, longer production workflows through Google Flow, or direct API control over a dedicated cinematic video model. The two are not the same product wearing different names — Google documents them as separate model lines with separate pricing, separate length limits, and, in the Gemini app specifically, Omni has taken over the slot Veo 3.1 used to occupy. Here is what each one actually offers, based on Google's own product and pricing pages, so you can decide which fits your use case instead of guessing from a search results page.

What Gemini Omni's video feature actually offers

Gemini Omni launched at Google I/O 2026 as, in Google's words, "a model that can create anything from any input — starting with video." The first release, Gemini Omni Flash, accepted mixed inputs — images, audio, video and text — and could edit a clip through conversational instructions rather than a traditional timeline editor. Google's original announcement said the model would roll out to all Google AI Plus, Pro and Ultra subscribers through the Gemini app and Google Flow, with a free path through YouTube Shorts and the YouTube Create app.

The version relevant to this comparison is Gemini Omni 1.2 Flash, which Google made generally available on November 5, 2026. According to Google's developer blog post announcing the model, 1.2 Flash can generate and edit clips natively up to 15 seconds long — up from 10 seconds in Omni 1.1 — with duration adjustable in one-second steps starting at 3 seconds. Drafts are produced at 360p or 720p, and finished clips can be upscaled to 1080p or 4K; that is an important distinction from a model that captures those resolutions natively, which Veo does.

Access varies sharply by surface. In Google Vids, Google's own Workspace Updates post says the 15-second generation feature is rolling out to personal Google accounts on Google AI Pro or Ultra, plus a long list of Google Workspace Business, Enterprise and Education editions — not a universal free tier, contrary to some secondary summaries circulating online. Separate reporting on Google's original Vids announcement describes a limited free allowance (cited as three 15-second clips per month) for anyone with a Google account or Workspace subscription; Google's own post we could retrieve did not spell out that exact number, so treat the specific "three clips" figure as reported rather than independently confirmed here. In the Gemini app, Google's blog says the 15-second option is "rolling out to Google AI Ultra subscribers" specifically — not Plus or Pro — so most Gemini app users on a paid plan may still be capped at Omni 1.1's 10-second limit until that rollout widens. On the Gemini API, there is no free tier at all: Google's AI Studio pricing page lists Omni 1.2 Flash's free tier as "Not available."

Omni also keeps capabilities Google introduced with Omni 1.1: native audio generation, turning up to five photos into a video, scene extension, video-to-video editing, multi-turn conversational edits and AI avatars that use your own voice. All Omni output carries Google's SynthID digital watermark, which is checkable inside the Gemini app, Gemini in Chrome and Google Search.

What Veo 3.1 offers when you go straight to it

Veo is Google DeepMind's dedicated video-generation model line, and it predates Omni by roughly a year — Veo 3.1 itself does not appear to have been retired alongside the older Omni 1.1 Flash model. DeepMind's product page for Veo describes it as capable of native 1080p and 4K output, with audio generated alongside the video, including sound effects, ambient noise and dialogue (Google notes that short spoken lines "can sometimes be incoherent," a caveat worth taking seriously if lip-synced dialogue matters to your project).

Where Omni leans into conversational editing of short clips, Veo 3.1 leans into production-grade controls: ingredients-to-video generation from multiple reference images (now including audio), first-and-last-frame control, scene extension that continues a clip from its final second, outpainting, object insertion and removal, and dedicated character, motion and camera controls. DeepMind's benchmark footnotes describe the model's standard output length as 8 seconds per generation — shorter than Omni's native 15-second ceiling — with scene extension used to stitch together longer sequences.

Veo 3.1 also ships in lighter variants. The Veo 3.1 Lite model card, published by DeepMind, describes it as "an addition to the Veo 3 series," built on the same Veo 3 foundation but optimized for cost and speed; in DeepMind's own evaluations it won 54.6% of head-to-head text-to-video comparisons against Veo 3.1 Fast. A Veo 3.1 Fast variant sits between standard Veo 3.1 and Lite on both price and generation speed. None of these are Omni — they are all explicitly part of the Veo 3 model family, per DeepMind's own documentation.

Availability is broader than the Gemini app alone: DeepMind lists Veo 3.1 as reachable through the Gemini app itself (via a "Try in Gemini" link), Google Flow, the Gemini API and developer docs, Google AI Studio, Google Vids, and Google's enterprise Agent Platform (the rebranded Vertex AI). Third-party integrations Promise, Volley and OpusClip also build on Veo 3.1 directly, according to DeepMind.

Is Omni's video output actually Veo 3.1 underneath?

This is the question search traffic around "Gemini Omni vs Veo 3.1" is really trying to answer, and the honest answer is: Google has not said, at least not in any page we could find. Gemini's own video-generation overview page states plainly that Omni "will now replace the previous Google Gemini Veo 3.1 model" inside the Gemini app — language about replacing a product slot, not about sharing underlying weights. DeepMind's Veo pages never mention Omni, and Google's Omni announcements never mention Veo by name or describe Omni as a repackaged or fine-tuned version of it.

What we can say with more confidence: Omni and Veo are billed completely separately (different line items, different per-second and per-token rates, on Google's own Vertex AI / Agent Platform pricing page), they are positioned differently in Google's marketing (Omni as a multimodal "create anything" conversational tool; Veo as a standalone cinematic generator used by production and marketing teams), and they have different native length and resolution ceilings. Whether that reflects two genuinely different model architectures, a shared backbone with different fine-tuning and serving stacks, or something in between is not disclosed in any primary source we reviewed. If you see a confident claim elsewhere that "Omni is just Veo 3.1 with a chat wrapper" or the reverse, treat it as speculation rather than something Google has confirmed.

Price comparison: cost per second, by the numbers

Google's Cloud pricing page (the generative-AI pricing table used for both the Gemini API and the rebranded Agent Platform / Vertex AI) lists per-second rates for both model families, with and without audio. At 720p with audio, standard Veo 3.1 costs $0.40 per second, Veo 3.1 Fast costs $0.10, and Veo 3.1 Lite costs $0.05. Gemini Omni 1.2 Flash, billed by output tokens rather than a flat per-second rate, works out to roughly $0.07 per second at 720p — a figure Google states directly in its own developer blog post, and one it describes as a 30% cut from Omni 1.1's rate.

That puts Omni 1.2 Flash's headline 720p price between Veo 3.1 Lite and Veo 3.1 Fast — cheaper than every tier of standard Veo 3.1, but not automatically the cheapest option on the table once you include Veo's lighter variants. At 1080p, the gap narrows or reverses depending on the comparison: Veo 3.1 Lite's with-audio rate ($0.08/second) undercuts Omni's roughly $0.104/second at the same resolution, while Omni still beats Veo 3.1 Fast ($0.12/second) and standard Veo 3.1 ($0.40/second). At 4K, Omni's upscaled output costs roughly $0.209/second against Veo 3.1 Fast's native $0.30/second and standard Veo 3.1's $0.60/second — but remember Omni's 4K is an upscale of a lower-resolution draft, not a native capture, so the price comparison isn't quite apples-to-apples.

None of this touches Google Flow, which prices generation in bundled monthly credits rather than a visible per-second rate on the pages we could confirm. If you're comparing costs for a Flow subscription specifically, check Google's current Flow and Google AI plan pages directly before budgeting — the API figures above apply to developer/enterprise usage through the Gemini API and Google Cloud, not to a Flow credit allowance.

Length, resolution and editing limits compared

If raw clip length without extra steps is what matters, Omni currently wins: 15 seconds in one shot beats Veo 3.1's native 8-second generation. If native, non-upscaled resolution is what matters, Veo wins: its 1080p and 4K outputs are captured at that resolution rather than upsampled from a 720p draft the way Omni's higher tiers are. Neither model publishes a maximum resolution beyond 4K, and neither page we reviewed states a hard cap on how many times you can extend a Veo scene or how many conversational edits you can chain in Omni before quality degrades — those practical limits aren't documented by Google in the pages checked for this piece.

On editing style, the two tools solve different problems. Omni's selling point is that you can describe a change in plain language — "make it slow motion," "swap the background," "give this a voiceover" — and it applies the edit to existing footage, including footage that didn't originate in Omni, since it accepts video as an input type. Veo 3.1's controls are more structural: multiple reference images as "ingredients," explicit first-and-last-frame targets, object insertion/removal, and dedicated camera and motion controls aimed at people assembling a shot rather than chatting through revisions.

Where to actually find each one today

Gemini Omni 1.2 Flash is accessible through: Google Vids (limited free use, full access on AI Pro/Ultra personal accounts or qualifying Workspace editions), the Gemini app (10-second generations on paid plans today, 15-second rolling out to AI Ultra), Google Flow, Google Ads for scaling creative, and the Gemini API / Google Cloud for developers at the per-second rates above. Veo 3.1 is accessible through: the Gemini app via its own entry point, Google Flow (as a separate model choice from Omni, in Lite/Fast/Quality-style variants), Google AI Studio, the Gemini API and Google Cloud's Agent Platform, and Google Vids and Google's Gemini Enterprise Agent Platform for business customers. In short: if you're inside the Gemini app today, Omni is now the default video engine there, with Veo reachable as a secondary option; if you're building through the API or working in Flow, both remain available as distinct model choices.

For context on how either compares against non-Google competition, Pandromeda's existing breakdown of Sora 2 against Veo 3.1 is a useful companion read if your decision also involves OpenAI's model, and our explainer on Gemini's current model lineup covers where Omni sits relative to Gemini's text and reasoning models if you're trying to make sense of Google's increasingly crowded naming scheme.

Which one should you actually use?

Pick Gemini Omni 1.2 Flash if: you want to generate or edit a short clip without paying anything up front, you're already working inside Google Vids or Google Workspace, you want conversational edits on existing footage rather than a from-scratch cinematic shot, or your clip needs to run the full 15 seconds without a separate extension step.

Pick Veo 3.1 (or its Fast/Lite variants) if: you need native 4K rather than an upscale, you're building a production pipeline through the API or Vertex AI / Agent Platform and want predictable per-second pricing at a known resolution, you want DeepMind's reference-image "ingredients" or precise frame/camera control, or you're working inside Google Flow and want access to all three Veo quality tiers alongside Omni rather than being limited to one model.

For many casual users the decision will be made for you by whichever surface you're already in — Vids users will default to Omni, Flow and API users get a genuine choice between the two. If cost per second is your deciding factor and 720p is good enough, run the numbers for your specific resolution: Omni 1.2 Flash beats standard Veo 3.1 at every resolution Google publishes, but Veo 3.1 Lite can still undercut Omni, particularly at 1080p.

What to do now

Before committing budget or workflow time to either model, check Google's own pricing and availability pages directly — both products are mid-rollout, Google's Gemini app access to Omni's 15-second tier is explicitly limited to AI Ultra subscribers as of this writing, and Flow's credit-based pricing wasn't fully documented in the pages we could verify, so it can change without much notice. If you're on a paid Google AI plan already, the cheapest way to compare them hands-on is to generate the same short clip in both Omni (inside the Gemini app or Vids) and Veo 3.1 (inside Flow or via "Try in Gemini") and judge the output directly rather than relying on spec-sheet comparisons alone. For deeper background on the Omni 1.2 Flash rollout itself, including its full pricing table and the Vids free-tier rollout, see Pandromeda's report on Omni 1.2 Flash's launch.

Written byTheo Park

Theo Park runs the AI desk at Pandromeda. He follows model launches from the frontier labs and the open-weight community, tracks the assistants and developer tools built on them, and explains what each release changes on pricing, capability and safety. His reporting leans on primary sources: model cards, technical reports, API documentation and the companies' own announcements.

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