The short answer
Gemini Omni is not a replacement for Veo 3.1 — it is a different product for a different job. Google DeepMind deliberately ships both in parallel.
Gemini Omni Flash
Multimodal world model for iterative creation
Text + image + video + audio in → video out. Strong at conversational editing, rapid iteration, and multi-input generation. Consumer-first. Best for creators who refine through conversation.
Veo 3.1
Specialist video model for cinematic fidelity
Text-to-video and image-to-video, optimized for film-quality output, camera control, and longer clips. Developer-first via Vertex AI. Best for production workflows requiring precise direction.
The clearest sign of this distinction: Veo 3.1 remains fully active on Vertex AI and the Gemini API with documented pricing and no announced deprecation. Gemini Omni Flash replaced Veo in the Gemini consumer app, but did not replace Veo as an API or enterprise product.
What each model is
Gemini Omni Flash
Gemini Omni is Google DeepMind's multimodal world model, announced at Google I/O on May 19, 2026. It is built on three converging architectures: the Gemini reasoning engine, the Veo video rendering backbone, and the Genie world simulation layer. This combination gives it the ability to reason about what should happen in a scene — not just render pixels — while accepting any combination of text, images, video clips, and audio as simultaneous inputs.
Its defining capability is conversational editing: after generating a clip, you continue refining it through natural language instructions, and each instruction builds on the previous state of the clip rather than starting over. Scene continuity, character identity, and physical consistency are maintained across editing turns.
Veo 3.1
Veo 3.1 is Google DeepMind's dedicated, specialist video generation model. It launched as an upgrade to Veo 3 in early 2026. Unlike Omni, Veo 3.1 is a focused video-first model: its strengths are cinematic realism, precise camera grammar, and strong prompt-to-clip fidelity. It ships in three tiers — Lite, Fast, and Quality — with the Quality tier supporting 4K output. It generates clips up to 8 seconds natively, with a scene extension capability that allows an existing clip to be continued.
Veo 3.1 is the primary model on Vertex AI and the Gemini API for enterprise and developer integrations. Its API is documented with stable pricing ($0.03–$0.40 per second depending on tier) and no announced sunset date.
Side-by-side comparison
| Dimension | Gemini Omni Flash | Veo 3.1 |
|---|---|---|
| Architecture type | Multimodal world model | Specialist video generation model |
| Text-to-video | Stronger cinematic control | |
| Image-to-video | Up to 5 reference images | |
| Chat-based multi-turn editing | Core feature | Not documented |
| Video remix (upload own footage) | Scene extension only | |
| Drawing / sketch to video | ||
| Style & motion transfer | Limited | |
| Native audio generation | Sound, ambient, dialogue | Richer lip-sync & dialogue |
| Audio as input reference | Voice reference supported | Not documented |
| AI avatar generation | ||
| On-screen text rendering | Strong | Good, less documented |
| Max clip duration | 10 seconds (Flash tier) | 8 seconds + scene extension |
| Max resolution | 1080p HD | 1080p (Lite/Fast) · 4K (Quality) |
| Camera control | Prompt-directed | Stronger film-grammar control |
| Primary surface | Gemini app, GeminiOmniHub | Vertex AI, Gemini API, Google Flow |
| Developer API status | Rolling out (announced post-I/O) | Fully documented, stable pricing |
| API pricing | Not yet announced | $0.03–$0.40/sec depending on tier |
| Content watermark | SynthID + C2PA | SynthID + C2PA |
| Best for | Iterative creation, social content, rapid prototyping | Cinematic production, enterprise integrations, longer-form video |
The four differences that actually matter
1. Conversational editing vs. single-shot generation
This is the biggest functional difference between the two models. Gemini Omni Flash is built around an editing loop: generate a clip, then keep refining it through natural language instructions. Each turn applies your instruction to the existing clip state — the model doesn't regenerate from scratch. Camera angle, character appearance, and scene continuity are maintained.
Veo 3.1 does not have a documented multi-turn editing surface. It follows the conventional video AI model: write a prompt, generate a clip. For iterative workflows, you write a new prompt and generate again.
2. Multimodal input vs. video-first input
Gemini Omni accepts any combination of text, images (up to 5), existing video clips, and audio as a single prompt. You can hand it a character sketch, a voice reference, and a one-sentence description and receive a video that incorporates all three. This is the architecture that makes drawing-to-video and style transfer possible.
Veo 3.1 accepts text prompts and image references. Audio input is not documented. The trade-off is that Veo's focused input structure allows deeper cinematic control — more precise camera grammar, stronger prompt fidelity for complex visual compositions.
3. 4K resolution and longer-form output
Veo 3.1 Quality supports 4K output, which Gemini Omni Flash does not. Veo 3.1 also supports scene extension — continuing an existing 8-second clip rather than generating a new one. For projects requiring high-resolution output or clips longer than 10 seconds, Veo 3.1 is currently the only Google option.
Gemini Omni Pro (a higher-tier Omni model) is planned and expected to address resolution and duration limits, but Google has not confirmed a release date.
4. Consumer app vs. enterprise API
Gemini Omni Flash is the default model in the Gemini consumer app and GeminiOmniHub. Its developer API is rolling out following the Google I/O 2026 launch, but pricing and documentation are not yet fully public.
Veo 3.1 has a fully documented and stable API on Vertex AI and the Gemini API (AI Studio), with per-second pricing published and no announced sunset date. For teams building production applications, Veo 3.1 is currently the lower-risk API choice.
Which model should you use?
Use Gemini Omni (via GeminiOmniHub) when…
You create social content and iterate quickly based on how a clip looks, not a precise visual spec.
You want to remix or restyle your own footage — change the visual tone, swap backgrounds, transfer a style from a reference image.
You need multi-input generation — combining a character image, an audio reference, and a text description in one prompt.
You want an AI avatar that looks and sounds like you, without filming yourself each time.
You're a marketer, educator, or content creator who needs good-quality video fast, without a technical setup or subscription.
Use Veo 3.1 when…
You need 4K output for high-resolution production work, broadcast, or large-format display.
You're building an application or API integration and need a stable, documented API with published pricing today.
Your workflow is cinematic and director-style — you think in shot lists, camera moves, and precise visual descriptions.
You need to extend an existing clip rather than generate a new one from scratch.
Your enterprise team already uses Vertex AI and you need a proven integration path.
Many professional workflows use both: Gemini Omni for rapid storyboarding and iteration, Veo 3.1 for final high-quality renders once the creative direction is locked.
Frequently asked questions
Did Gemini Omni replace Veo?
Partially. Gemini Omni Flash replaced Veo 3.1 as the default model inside the Gemini consumer app. However, Veo 3.1 remains fully active on Vertex AI and the Gemini API with documented pricing and no sunset date. Google confirmed at I/O 2026 that both models co-exist by design — they serve different surfaces and use cases. "Gemini Omni replaces Veo in the Gemini app" is accurate; "Gemini Omni replaces Veo entirely" is not.
Which model has better video quality — Omni or Veo?
Gemini Omni Flash has not been officially benchmarked against Veo 3.1 in a third-party matched evaluation as of May 2026. Early qualitative reports from creators suggest Veo 3.1 maintains an edge on pure cinematic realism and dialogue-specific lip-sync. Omni Flash's strengths are workflow — multi-input handling, conversational editing, and speed of iteration — rather than maximum visual fidelity. For the highest-quality single-generation output, Veo 3.1 Quality is currently the stronger documented choice.
Can I use Veo 3.1 through GeminiOmniHub?
No. GeminiOmniHub is built on Gemini Omni Flash. For Veo 3.1 API access, the documented route is through Vertex AI or the Gemini API on AI Studio, which requires a Google Cloud account and developer setup.
Which model generates longer clips?
Veo 3.1 generates clips up to 8 seconds natively and supports scene extension to continue an existing clip. Gemini Omni Flash caps at 10 seconds per generation, with no extension capability documented yet. On GeminiOmniHub, Pro and Teams plans include a multi-clip stitching workflow for longer productions. For single-generation output beyond 10 seconds, Veo 3.1 with scene extension is currently the only Google option.
Is Gemini Omni Pro a Veo replacement?
Gemini Omni Pro is a higher-tier Omni model that Google has referenced as a planned release with stronger capabilities than Flash. If Omni Pro ships with 4K support, longer clip duration, and stronger character consistency, it would close most of the remaining gap with Veo 3.1 Quality. However, Google has not confirmed a release date or specific feature set for Omni Pro as of May 2026.
Try Gemini Omni on GeminiOmniHub
Text-to-video, image-to-video, chat editing — free to start
New accounts receive 10 free credits. No credit card, no subscription, no software to install. Access Gemini Omni Flash in your browser.
No credit card required · No subscription · 18+ only