ranking every AI video model for creating AI UGC...

most model rankings are built on which one makes the prettiest 5 second demo.

that is a DIFFERENT job from making an ad that converts.

for ai ugc, a model has to hold a face across scenes, sync a voice to lips, sound like the room it is in, and cost little enough to run hundreds of times.

here is how they rank on that job...

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the top tier:

1. seedance 2.0

bytedance released this in february and it went straight to the top of the leaderboards.

for ugc it wins on the thing that decides everything, which is quality per dollar.

the fast tier runs around $0.022 a second,

so a 30 second ad costs under a dollar to generate.

at that price you test 30 angles instead of 3.

the voice handling is the other reason i lean on it.

it understands the acoustics of the environment,

so a voice recorded in a car sounds like a car rather than a booth.

you can also feed it a reference audio file to lock the same voice across every clip in a longer ad.

2. veo 3.1

google's model, and the best audio in the category.

native 48khz speech generation, which is why dialogue comes out cleaner here than ANYWHERE else.

for a talking head ad where the whole thing rides on one person speaking, this is the safest pick.

the limit is clip length, since it caps around 8 seconds per generation.

that matters less than it sounds if your tool stitches scenes for you,

and it matters a lot if you are prompting chunks by hand.

3. kling 3.0

four entries in the current top ten, and the strongest motion control of the group.

it added multilingual lip sync in february,

which makes it the pick for running the same ad in several languages.

around $0.50 per finished 10 second clip at the standard tier, and it generates fast.

character drift across multiple scenes is where it gets harder to control, so it suits shorter ads over long narrative ones.

(i use infiniteugc.com/a/4 to create AI UGC videos btw. it has most of the good models)

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the situational picks:

4. wan 2.6 and 2.7

alibaba's models, strongest on cinematic multi shot narrative.

if you can plan your shots properly, this handles a sequence better than most.

generation is fast, around 20 seconds for a clip, which makes it useful when you are filling a batch QUICKLY.

5. hailuo 2.3

minimax's model, and the one to use when you need longer clips at lower cost.

quality sits below the top three,

which is fine for volume testing where you are looking for a hook that works.

6. happyhorse 1.0

alibaba appeared with this in april and it climbed to number one on the text-to-video and image-to-video leaderboards.

it generates video and synchronized audio in a single pass and renders 1080p in about 38 seconds.

still in beta, and no open weights have shipped,

so treat it as something to watch rather than something to build a pipeline on.

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the ones to stop using:

sora 2 is DEAD.

open ai shut the consumer app on april 26 and the api ends on september 24.

if you have a workflow running on it, move now rather than in september lol.

runway gen 4.5 led the leaderboard at launch in late 2025 and has since dropped out of the top ten entirely.

it still works, but you are basically paying premium pricing for output the top three beat.

that is the pattern worth internalizing.

a model that led eight months ago is mid tier now,

so the ranking you memorized last year is costing you money TODAY.

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what actually matters for ugc:

the leaderboard position is not the thing to optimize for.

what decides your output:

• character consistency across scenes, since a face that changes mid-ad kills it
• native audio and lip sync, because a mismatched voice reads as fake instantly
• cost per second, which sets how many angles you can afford to test
• usable rate, meaning how many generations come back without warped hands or bad pacing

that last one is the number nobody publishes.

a model at half the price with a 40% usable rate costs you more per finished ad than a pricier model at 80%.

so work out your real cost per finished ad rather than your cost per generation.

take what you spent in a week, divide it by the number of ads you actually shipped, and that is your true number.

it is usually double what the pricing page suggests.

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how to test a model properly:

most people judge a model on one generation and decide it is good or bad.

run it like a real TEST instead.

• take one script you already know converts
• generate the same thing five times on each model
• keep the settings identical, meaning same avatar, same length, same aspect ratio
• score each output on face consistency, lip sync, and whether you would ship it

5 generations tells you the usable rate, which one never will.

then check the failure modes rather than the wins.

every model fails in a characteristic way,

meaning hands on one, teeth on another, pacing on a third.

knowing which one your chosen model breaks on lets you write around it.

if a model struggles with hands, write scripts where the avatar is not holding anything until the product beat.

test again every quarter.

- CEO