Veo 4: What creators can realistically expect from the next generation of AI video

AI video is evolving faster than any creative technology we’ve seen in years. Tools that once felt experimental are now part of real production pipelines, helping you move from idea to moving image in a few minutes. Veo 3.1 made that shift real with cleaner motion, more cinematic control, and native audio that finally made AI-generated video feel intentional, not accidental.

You can already use Veo 3.1, Veo 3.1 Fast, and Veo 3 inside Artlist AI, where it powers text-to-video creation alongside powerful image-to-video generation capabilities. That puts Veo models directly in your workflow today, long before the next major leap arrives.

What is Veo 4? 

Naturally, the two questions everyone is asking are the same: When will Veo 4 come out? And what will it mean for your video production pipeline?

While Google Veo 4 (also known as Gemini Veo 4 or Veo 4 AI) has not been officially released, there’s enough information in Google’s research direction, published papers, and market behavior to build a grounded picture of what’s coming next.

This article outlines what Veo 4 is expected to deliver, how it compares to current models, and how to prepare your workflow so you’re ready on day one.

Where Veo 3.1 stands today

Before we look ahead, it’s important to understand the baseline. Veo 3.1 is the latest publicly available DeepMind video model, and it already gives creators:

• 1080p video output
• Native audio, including ambience and simple dialogue
• Multi-shot storytelling, with characters that carry across sequences
• Up to ~1-minute clips, depending on the pipeline
• Cinematic camera controls
• Multi-prompt sequencing

It’s more than enough for ideation, storyboarding, rough comps, social content, and motion tests. But its limitations are clear: resolution tops out at 1080p, longer sequences introduce continuity drift, and the audio still requires cleanup or replacement in post.

These are exactly the areas Google Veo 4 is expected to push forward.

What Google Veo 4 is likely to deliver

Everything below is grounded in publicly documented model behavior, research patterns, and ecosystem evolution, not speculation for the sake of hype.

1. Higher resolution, likely including true 4K

One of the most consistent requests from creators is simple: 4K. This single upgrade would transform Veo from “concept-ready” to “client-ready,” especially for commercial or branded work.

2. Longer, more coherent storytelling

Veo 3.1 can already generate multi-shot sequences, but longer stories push it past its comfort zone. Characters can shift, props can disappear, and cuts sometimes feel disconnected.

Early roadmap analyses indicate Veo 4 will improve:

• Clip duration
• Shot-to-shot continuity
• Scene transitions
• Camera logic

3. More consistent characters — closer to Nano Banana Pro

Google’s image model Nano Banana Pro is widely praised for:

• Persistent, on-model characters
• Clean, controllable style
• Multi-language text accuracy
• High compositional control

Many of those strengths are expected to inform Veo 4’s design for the future of video generation.

Creators should expect:

• Closer character consistency across longer scenes
• More stable multi-character interactions
• Support for reference sheets, similar to Nano Banana Pro’s image workflow
• Improved object permanence

4. Better multilingual accuracy and on-screen text

Google’s language models are industry-leading, and Nano Banana Pro’s text accuracy across languages suggests Veo 4 will expand multi-language control.

Anticipated improvements include:

• Better multi-language prompting
• More accurate on-screen text, signage, and UI
• Cleaner lip-sync across languages
• More natural spoken dialogue

Global creators who work across markets will benefit immediately.

5. Higher-quality audio and more expressive speech

Veo 3.1’s audio is good enough for timing and tone, but not polished enough for final delivery. Veo 4 is expected to build on this foundation with:

• More expressive vocals
• Improved speech rhythm and timing
• Richer ambience and background detail
• More coherent sound design across cuts

It will be interesting to see how this plays out in Veo 4 vs Sora 2 comparisons, especially since Sora 2’s audio roadmap remains unclear. If Veo 4 expands audio drastically, it may become the best all-in-one video-and-audio generator available.

How to prepare now for Gemini Veo 4

Even before Veo 4 arrives, you can build a workflow that takes full advantage of it.

1. Build character reference sheets now

Use strong image models (including Artlist’s text-to-image and image-to-image Veo 3.1 tools) to design consistent characters. When Veo 4 arrives, these sheets will anchor long-form continuity.

2. Work in 4K timelines

Even if you’re generating at 1080p, thinking in 4K now avoids redoing layouts later.

3. Use Veo 3.1 on Artlist 

Veo 3.1 is ideal for building coverage, testing motion, ideating edits, and assembling prototypes you’ll refine later.

4. Create a prompt library

Save things like: 

• Lighting setups
• Camera paths
• Character bios
• Brand language
• Common scene structures

Your prompt skills will transfer directly to Veo 4.

The bottom line

Veo 4 is expected to push AI video into a new category featuring higher resolution, longer storytelling, better characters, better language tools, and stronger audio. It will set up real comparisons across the industry with other leading AI models, while giving creators more control than ever.

And you don’t need to wait for it. Veo 3.1 is already available on Artlist AI, and you can use it today for text-to-video and image-to-video creation — building the workflows, styles, and character systems that Veo 4 will amplify the moment it arrives.