Runway, Kling, Veo, Sora: A Comparison of Video-Generation Neural Networks in 2026

Every week there is a headline: "a new neural network will kill all the competition." In practice the market works differently: top models do not push each other out but occupy different niches. At AIVFX we work with all the major models every day, and in this article we share an honest comparison — without promoting any single one and without hype.

The criteria worth comparing by

• Realism and physics of movement — how naturally objects move, whether there is "jelly" and artifacts.
• Controllability — whether you can precisely set camera movement, action, and duration.
• Character consistency — whether the hero stays the same between scenes.
• Clip length and resolution — how many seconds at a time, up to 4K or not.
• Sound — whether the model generates synchronized sound and speech.
• Price and generation speed.

Kling — the king of realistic physics

Kling (from China's Kuaishou) produces some of the most convincing movement: water flows like water, fabric flutters naturally, people move without "rubbery" joints. It is strong in image-to-video — bringing ready-made frames to life. The downside is that it sometimes "adds" extra details and handles complex camera movements worse.

When to choose it: realistic product clips, scenes with people, the dynamics of liquids and fabrics.

Runway — cinematic and artistic

Runway (the Gen series) is the choice for those who care about a "cinematic" picture: beautiful light, atmosphere, artistic shots. Excellent camera control and editing tools. It falls slightly short of Kling in pure photorealism of people, but wins in style and mood.

When to choose it: image advertising, atmospheric clips, music videos — anything where the "taste" of the picture matters.

Google Veo — photorealism and sound in one

Veo from Google is one of the leaders in photorealism, and most importantly it generates synchronized sound and speech right alongside the video. This saves an enormous voiceover stage. The downside is availability and price: the model is premium.

When to choose it: clips with talking people where you need lip-sync and sound "out of the box," and maximum realism.

Sora — long, coherent scenes

Sora (OpenAI) is strong at generating longer and narratively coherent scenes with a good understanding of world physics. It is good when you need not just a beautiful 5-second insert but a scene with development. Controllability and availability are its weak points at the moment.

When to choose it: narrative scenes, complex spaces, conceptual clips.

Seedance — dynamics and speed

Seedance (ByteDance) handles dynamic scenes, movement, and fast action well, while generating relatively quickly. It is convenient for a large volume of content for social media.

When to choose it: energetic clips for Reels/Shorts, sports, movement, a flow of content.

Summary table: what for which task

• Realistic product with people → Kling
• Atmospheric image advertising → Runway
• Talking person with sound → Google Veo
• A long narrative scene → Sora
• A flow of dynamic content → Seedance

A professional result is almost always a combination of several models in a single project, not a bet on one "best" one.

So which one is actually the best?

The right question is not "which neural network is the best" but "which model will better solve my specific task." Business cares about the result — a finished clip that sells. The viewer is indifferent to which tools it was assembled with. That is why studios keep the entire arsenal at hand: for one scene they take Kling, for another Runway, and they add sound via Veo. It is precisely this combination that produces a picture indistinguishable from classic production.