Seedance 2.5 vs Sora 2: 30 Seconds With References, or 20 With Remix

Seedance 2.5 takes 50 reference files and runs 30 seconds in one pass. Sora 2 tops out at 20 seconds and one input image, but it lets you remix a finished video.

Seedance 2.5

ByteDance's reference model. One pass gives you up to 30 seconds, sound included, and you can feed it 50 images, clips and audio files to hold everything steady.

Made by
ByteDance
Good for
Long single takes where a character has to stay the same for 30 seconds
Weak at
1080p is not offered everywhere; some platforms cap it at 720p
Resolution
480p, 720p, up to 1080p
Max length
30s in one pass
5 of 7 rounds

Sora 2

OpenAI's video model reads real-world physics better than anything else. Its published limits change depending on which door you come in through.

Made by
OpenAI
Good for
Motion that has to obey gravity, weight and momentum
Weak at
Only one of our five platforms carries it
Resolution
720p and 1080p
1 of 7 rounds

Round by round

Criterion Winner Why
Longest single generation Seedance 2.5 30 seconds in one pass. Sora 2 is documented at 1 to 20 seconds.
Reference inputs Seedance 2.5 50 inputs: 30 images, 10 videos, 10 audio. Sora 2 documents a single input reference.
Aspect ratios Seedance 2.5 Six ratios including 21:9. Sora 2 documents portrait, landscape and square.
Editing a finished result Sora 2 Remix takes a completed video id and changes one thing about it.
Native audio Both Both generate synchronised sound with the picture.
Availability on this site's platforms Seedance 2.5 On all five. Of the five, only Vosu names Sora 2.
Documented inputs Seedance 2.5 Text, image, video and audio. Sora 2 documents text, one image, and a video of up to five seconds.

Both models are known for the same thing. They make video that obeys physics. Things fall the way they should, water moves like water, and a person who stumbles recovers the way a person does. Both make their own sound, including dialogue, in the same pass as the picture.

The difference is how much material you can hand them. Seedance 2.5 takes up to 50 reference files and runs for 30 seconds. Sora 2’s documented ceiling is 20 seconds and one input image or a short input video.

The two boxes at the top of this page are platforms, not models. Of the five platforms on this site, Vosu is the only one that names Sora 2.

The short version

Availability may decide this before anything else. Seedance 2.5 runs on all five platforms this site links to. Sora 2 is named by one.

Side by side

Everything here comes from published documentation. Sora 2’s figures below come from the documented API deployment. The Sora consumer app applies its own limits per subscription tier, and those are different numbers.

Seedance 2.5Sora 2
MakerByteDanceOpenAI
Single generation lengthup to 30 seconds1 to 20 seconds documented
Resolutionup to 1080pup to 1920x1080
Aspect ratios1:1, 3:4, 4:3, 16:9, 21:9, 9:16square, portrait and landscape, up to 1080x1920 and 1920x1080
Native audioyes, same passyes, same pass
Reference images30one input reference image
Video references10one video, up to 5 seconds
Audio references10not documented
Multi-shot in one passyes, cuts inside one generationnot documented
Editing a finished clipnot documentedremix, by referencing a completed video id
Documented inputstext, image, video, audiotext, image, video

One catch on Sora 2’s input reference. The documentation says the source image and the finished video must be the same resolution. So you cannot feed it a portrait photo and ask for a landscape clip.

Two things I could not verify. Sora 2’s app tiers are quoted as 10, 15 and 25 seconds in different write-ups, and I found no single authoritative page, so I am only giving you the documented API range of 1 to 20 seconds. Several write-ups say Seedance 2.5 outputs 4K, but ByteDance’s own page did not confirm it for me, so this site still says 1080p.

How you write for each one

Seedance 2.5 wants a stage list with an end state on every stage. It is the most structured prompting format of any video model I have used. You declare your cast once, then walk the model through the scene in timed blocks.

@Image1 defines <Kettle>. Only one <Kettle> exists in the video.

[Stage 1 | 0-8s]
Initial state: <Kettle> on a gas ring, kitchen in morning light, no people.
Primary event: steam builds and the camera pushes in slowly.
End state: <Kettle> fills the middle third of the frame, steam rising, no
people.

[Maintain Consistency]
One kettle, no other objects on the hob. Keep the light from @Image1.

Sora 2 does not want that. It responds to natural description of a scene, written the way you would describe a memory. Long structured blocks are not what it was built around, and there is no documented stage syntax.

A kitchen in early morning. A copper kettle starts to steam on the hob. The
camera drifts slowly closer as the steam thickens and catches the window light.
Quiet room, the low hiss of gas, a spoon settling in a cup somewhere off frame.

The habit that matters most on Sora 2 is the remix. Instead of rewriting the whole prompt when something is wrong, you point at the finished video and change one thing. The documentation is explicit that narrow single changes hold up better than broad ones. So make one change per remix, not three.

Where to run each one

PlatformSeedance 2.5Sora 2
ImagineArtyesnot named
OpenArtyesnot named
Creatifyyes, from the Pro plannot named
Figma Weaveyesnot named
Vosuyesyes

“Not named” means the platform does not list Sora 2 publicly. It does not prove the model is absent, but you should not subscribe expecting it.

If Sora 2 is what you came for, Vosu is the one of the five that names it. If you want both models on one account, Vosu is also the only place in this table where that is possible.

What this comparison does not cover

I have generated with Seedance 2.5 myself, on ImagineArt, Vosu and Figma Weave. I have not run production work through Sora 2. Everything above about Sora 2 comes from published documentation, not from my own output.

So this page compares what each model accepts and what each one is documented to do. It is not a quality verdict. Both models have a reputation for realistic physics, and I have no side by side runs that would let me say which one is better at it.

I also could not compare cost honestly. Sora 2 is billed per second in the documented deployment, while the platforms here sell credits, and the mapping between the two is not published anywhere I could check.

And I could not confirm whether Sora 2 does multi-shot. Nothing in the documentation I read describes cuts inside one generation, but absence from the documentation is not proof it cannot.

Questions

Can Sora 2 hold my product consistent across several clips?

It documents one input reference image per generation, plus remix on a finished video. That is a narrower toolkit than Seedance’s thirty image slots. For repeat product work across many clips, Seedance is the one built for it.

Which one is better for realism?

Both are built around physical accuracy and both are praised for it. I have no honest basis to rank them, because I have not generated with Sora 2.

Why is Sora 2 on only one of these platforms?

Access is controlled more tightly than most models, so aggregators cannot simply add it. That is my reading of the situation and not something any of the five platforms states.

Is 20 seconds enough?

For social video, usually yes. The thing 30 seconds buys you is not length for its own sake. It is a scene with three beats that never cuts, and never has to be talked back into matching.

Where a partner program exists, the links above are referral links. I earn a commission if you subscribe, at no cost to you. Each page says plainly what I tested myself and what comes from published documentation. Full disclosure.