In this article, we’ll share our honest review of Google Omni.

Google DeepMind launched a brand new Omni video model, and in this article, we’ll share our honest review of Google Omni.

This is not a new AI video model, and it is not Veo 4. This is something new to Google’s AI tool portfolio.

Google Omni | Full Review

Check out this episode of AI Film News and see some of the tests we ran.

Google Omni | Honest Review

Below is a breakdown showing our Google Gemini 3.5 Flash review.

What Is Google Gemini 3.5 Flash?

Google Omni Flash is essentially a multimodal AI video system. The model allows users to input images, video clips, text prompts, and audio clips to generate AI video outputs in return.

The easiest way to think about it is: “Nano Banana for video.”

Unlike traditional text-to-video models, Omni Flash is attempting to understand multiple forms of media simultaneously and combine them into a single generated result.

At launch, though, there are several limitations you need to know about:

10-second maximum video outputs
720p resolution
Requires a Google AI Pro or Ultra subscription
Primarily optimized for speed over quality

Google itself appears to position the tool more toward fast experimentation and general creativity rather than professional filmmaking workflows.

The Good: Omni Flash Feels Different

Even though Omni Flash struggles visually in many areas, there’s something fundamentally different happening under the hood.

In the test below, we prompted for a creature to come from out of the sky.

Most AI video models today work largely through pattern recognition, training data prediction, and visual interpolation.

But Omni Flash appears to be moving toward contextual world understanding. That distinction matters.

During the episode, the hosts repeatedly pointed out that Google’s biggest advantage is not necessarily the model itself—it’s Google’s infrastructure. Google has access to:

Search indexing
Maps data
Real-world geographic information
Massive multimodal datasets
Real-time contextual information

The implication here is absolute bananas. Future versions of Omni Flash may not simply “guess” what a 1920s street looks like based on training images.

In the test below, we prompted for the astroids to be changed to meatballs.

Instead, they could theoretically understand historical architecture, environmental context, geographic consistency, temporal logic, and real-world relationships.

That is a very different direction than where most AI video companies are currently going.

Omni Flash Is Not Google Veo 4

The hosts also clarified an important rumor: Omni Flash is not Google Veo 4.

A lot of people in the AI filmmaking community expected Google’s next major cinematic leap to arrive through Veo 4.

Instead, Omni Flash appears to be a faster multimodal experimentation model, an early infrastructure-focused system, and a foundational technology layer.

In the test below, we prompted for a spaceship to come into the frame.

That distinction matters because many people may incorrectly judge Omni Flash against fully cinematic AI models when Google may actually be solving a completely different long-term problem.

The Biggest Weaknesses Right Now

Based on the transcript and tests, Omni Flash currently struggles with several major issues:

Weak Cinematic Realism: The generated footage often looks artificial, over-processed, over-sharpened, and visually disconnected. It lacks the cinematic coherence currently seen in Seedance 2.0.
Poor Motion Integration: Effects often fail to blend naturally into footage. Transformations, explosions, and environmental interactions frequently feel pasted on top of scenes rather than physically existing inside them.
Visual Artifacts: The hosts repeatedly mentioned diagonal banding, texture instability, strange rendering behavior, and inconsistent physics. These issues make the tool difficult to trust in professional production workflows.

Why Google Omni Flash Still Matters

Despite all of its flaws, Omni Flash may ultimately matter more than many stronger-looking AI video tools today. Why?

In the test below, we prompted for a sci-fi bean to come down from the sky.

Because it appears to be moving toward something bigger: AI systems that understand the world rather than merely predicting pixels.

The transcript repeatedly hints at future possibilities like intelligent environment editing, era conversion, real-time contextual video understanding, AI-powered filmmaking infrastructure, and interactive world manipulation.

That future is much larger than simply generating prettier clips. And Google may be uniquely positioned to build it.

Final Verdict: Google Omni Flash Review

Right now, Google Omni Flash is not the best AI video model available. If your goal is high-end cinematic filmmaking, professional VFX, or character animation, then Seedance 2.0 currently appears significantly ahead.

In the test below, we prompted an explosion into the reference image.

But Omni Flash still feels incredibly important. It feels like an early version of a future AI filmmaking system that will eventually understand environments, geography, and time periods to edit reality itself.

Free Course | Intro to AI Storytelling

Fill out the form below and gain access to our free intro to AI storytelling course. We would love to see you in there.

You also get free access to our community filled with AI creatives from all over the world. We cannot wait to see you in the community!

Google Omni | An Honest AI Video Review