Mixer AI › Knowledge Base › Comparison › Seedance 1.5 Pro vs Kling 3.0 Motion Control: technical and visual comparison

Seedance 1.5 Pro vs Kling 3.0 Motion Control: technical and visual comparison

Both models are available in the current Mixer AI catalog, but they solve different jobs within the same media type. This page therefore does not label one as universally better: the table shows compatible inputs, limits and pricing, while the visual section separates valid A/B checks from different workflow stages.

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Key differences

Seedance 1.5 Pro: Animate a portrait, show a product or connect two frames in a short scene with sound.

Kling 3.0 Motion Control: Transfer a recorded performance to your character and choose which source supplies the background.

Start with the specification table: it reflects current modes, input media, duration, resolution, aspect ratios and a normalized price where a fair comparison is possible.

Specifications

Spec	Seedance 1.5 Pro	Kling 3.0 Motion Control
Generation modes	from text / from first and last frames	Motion Control
First frame	Yes	No
Last frame	Yes	No
Input photos	No	1, required
Input videos	No	1, required
Input video length	No	3–30 s
Background source	No	from photo or video
Output audio	Can be enabled or disabled	No
Minimum duration	4 s	3 s
Maximum duration	12 s	30 s
Resolutions	480p / 720p / 1080p	720p / 1080p
Aspect ratios	9:16 / 16:9 / 1:1 / 21:9 / 4:3 / 3:4	Follows the input
Prompt limit	2,500 characters	2,500 characters
Price, 4 s · 1080p	21 coins	76 coins

What to compare visually

Do not force tools with different jobs into the same test. First compare the inputs each one accepts and the output it is meant to produce. If they share a workflow, run an A/B test on the same source; otherwise judge each at its own stage: generation, Motion Control, avatar creation or upscaling.

What to inspect with Seedance 1.5 Pro

Animate a portrait, show a product or connect two frames in a short scene with sound.

Text mode needs no files. Image mode takes a starting frame and an optional ending frame.
Mixer AI offers 4, 8 or 12 seconds at 480p, 720p or 1080p.
Two images are the limit; this model page does not use separate video or audio references.
Incompatible poses or different objects at either end can produce morphing rather than believable movement.

What to inspect with Kling 3.0 Motion Control

Transfer a recorded performance to your character and choose which source supplies the background.

One character image and one motion video; 720p or 1080p.
Video orientation supports up to 30 seconds; image orientation up to 10. The background can come from either source.
A motion video is required; a dance description alone is not enough.
Clothes and faces can change during occlusions. Inspect intermediate frames, not just the opening.

How to run a fair comparison

Identify the workflow stage first: create new media, transfer motion, make a talking avatar, or improve an existing file.
Compare specifications only where they mean the same thing: accepted inputs, limits, available resolution and the real price of the needed mode.
If a shared workflow exists, use the same source. If it does not, do not infer visual quality from non-equivalent outputs.
Tools for different stages can be used sequentially rather than as substitutes.

What we compare

Seedance 1.5 Pro

Animate a portrait, show a product or connect two frames in a short scene with sound.

Kling 3.0 Motion Control

Transfer a recorded performance to your character and choose which source supplies the background.

FAQ

How should I compare Seedance 1.5 Pro and Kling 3.0 Motion Control fairly?

Compare purpose and inputs first. Test any shared workflow on the same source; evaluate different workflows separately by output quality, constraints and the price of that stage.

Are both models available in Mixer AI?

Yes. This page is generated only for models in the current public Mixer AI catalog; if a model leaves the catalog, the automated comparison must stop passing validation.

Which model is better?

There is no universal answer. First eliminate a model that cannot accept the input, duration, resolution or format you need, then compare outputs on your own scene. The table highlights only measurable advantages in individual specifications.