Which AI Video Model Should You Use? Seedance, Veo, Kling and Wan, Shot by Shot

By Richard Garland · 2026-08-13

The question I get asked most is which AI video model is best. It's the wrong question, and answering it honestly took me a few hundred generations to figure out.

There is no best model. There are models that are very good at specific things and mediocre at others, and the filmmakers producing work worth watching in 2026 aren't loyal to one — they route each shot to whichever handles it. That sounds obvious written down. It's expensive in practice, because it usually means four subscriptions, four accounts, four billing pages, and an API key you regenerate every time you switch machines.

This is a breakdown of what each of the four models I run is actually for, and then the part nobody writes about: the finishing tools that decide whether a good clip becomes a finished film.

Seedance 2.0 — when the camera is the performance

ByteDance's flagship sits at or near the top of the public leaderboards, and the reason is control. Dolly zooms, rack focus, tracking shots, POV switches — describe the move and it executes rather than approximating. Physics hold up under pressure too: collisions have weight, fabric tears believably, and fight choreography doesn't dissolve into smear at the moment of contact.

It also generates synchronized audio natively, at no extra cost, and it will cut between multiple shots inside a single generation. A 15-second Seedance output can genuinely feel edited rather than continuous.

The catch is price. It's the most expensive model I run by a wide margin, which is why I offer it at two resolutions. The 480p tier costs half as much and exists for one reason: to let you find the shot before you pay for the shot.

Reach for it when: the camera move is the idea, the scene has real physical action, or you want multiple cuts out of one generation.

Veo 3.1 — when it has to look expensive

Google's model has the strongest out-of-the-box image of the four. Prompt-following is precise, lighting reads as intentional rather than lucky, and subtle motion — breathing, wind, water, fabric at rest — lands better than anything else on this list.

Its real separator is dialogue. Veo generates lip-synced spoken lines in the same pass as the picture. Put your dialogue in quotes in the prompt and it comes back spoken, in sync, with ambience underneath. For a single character delivering a line, nothing else gets you there in one step.

Reach for it when: it's a hero shot, a beauty shot, or someone has to talk.

Kling 3.0 — when things move fast

Kling is the motion specialist. Running, dancing, sport, crowds, anything where multiple bodies move quickly through frame — this is where it separates from models that look better in a still. The failure mode of AI video is movement that doesn't obey the world, and Kling breaks that trust less often than its price suggests it should.

It gives you less granular camera control than Seedance and less polish than Veo. It's not trying to be either. It's trying to make motion that holds together, and it does.

Reach for it when: the shot is kinetic and the budget isn't unlimited.

Wan 2.6 — the workhorse you'll use most

Wan is open-weight, fast, and cheap enough that you stop rationing takes. That matters more than any single-shot quality comparison, because rationed takes show on screen. The films that look considered are the films where somebody generated fifteen versions and kept one.

It won't beat Veo on polish or Seedance on camera control. It doesn't need to. It's what you block a film in, test a prompt structure with, and previz an idea on before spending real money on the take you keep.

Reach for it when: you're figuring out what the shot even is.

The part nobody writes about: finishing

Every comparison article stops at generation. That's not where AI films die. They die at the point where you have a good ten-second clip and no way to turn it into a film.

Start from an image. Every one of these models will animate from a still you provide instead of a description it has to interpret. If you've already made an image you love — in Midjourney, Flux, a camera — that frame is a far more reliable starting point than any paragraph of prompt.

Extend past the ceiling. Every model on this list caps somewhere between 8 and 15 seconds. Extension continues an existing clip with consistent motion, style, and audio, and you can chain extensions. That's how a 10-second generation becomes a minute of film.

Upscale the keeper. Temporally consistent upscaling takes a clip to 1080p or 4K without the frame-to-frame shimmer that gives cheap upscalers away. Paired with a cheap draft tier this changes your whole economy: iterate at 480p, upscale only the take that survives.

Re-sync the dialogue. Lip sync takes a finished clip and an audio track and re-times the mouth to match, carrying emotion and delivery from the recording. It's how you fix a line without regenerating the shot, and how you dub a film into another language without reshooting it.

The workflow that actually works

Put together, the pipeline looks like this. Block the film cheap — Wan, or Seedance at 480p — until you know what each shot is. Generate hero shots on whichever model suits them: Seedance where the camera moves, Veo where it has to be beautiful or someone speaks, Kling where bodies move fast. Extend the shots that end too early. Upscale the ones you keep. Fix dialogue with lip sync rather than regenerating. Then take the whole thing into a real edit with a real sound pass, because sound design is still where AI films most often feel cheap.

The model is a lens. You still have to own the cut.

Why I put them all in one place

I built the generator on RevaultAI because I was doing all of the above across four accounts and hating it. Now it's four models and four finishing tools behind a single credit balance — pay per second of output, no subscription, no API keys, and credits come back automatically if a generation fails. Cheap models cost less, flagship models cost more, and you choose per shot instead of per month.

You can see how it works here. If you're building a film rather than a single shot, our complete AI short film workflow covers the whole process end to end.

The other half of why it exists: when the film is done, it should have somewhere to go that isn't a feed. RevaultAI is a curated gallery for AI film — every submission reviewed, nothing buried, and creators keep 80% of net revenue on anything they sell. We're selecting a founding cohort of filmmakers right now, and if you're making work you're proud of, apply as a founding creator. Every application gets a personal reply either way.