Mixer AI › Knowledge Base › Comparison › Kling 2.6 Motion Control vs Kling 3.0 Motion Control: model comparison

Kling 2.6 Motion Control vs Kling 3.0 Motion Control: model comparison

Both Motion Control versions use the same basic workflow in Mixer AI: one image defines the character and one driving video supplies the motion. A direct example shows the same motion rendered in 2.6 and 3.0 side by side.

Try it on Mixer AI

Key differences

Both accept 1 image plus 1 driving video in Mixer AI and expose 720p/1080p.

In the direct side-by-side, the reviewer saw more accurate movement, expression and facial consistency in 3.0.

A separate 2.6 test shows that good motion transfer can still leave finger errors and a nearly frozen background, so those checks remain relevant.

Specifications

Spec	Kling 2.6 Motion Control	Kling 3.0 Motion Control
Generation modes	Motion Control	Motion Control
Input photos	1, required	1, required
Input videos	1, required	1, required
Input video length	3–30 s	3–30 s
Minimum duration	3 s	3 s
Maximum duration	30 s	30 s
Resolutions	720p / 1080p	720p / 1080p
Aspect ratios	Follows the input	Follows the input
Prompt limit	2,500 characters	2,500 characters
Price, 1 s · 1080p	≈ 12.92 coins	≈ 18.95 coins

Direct 2.6 vs 3.0

The reviewer identifies facial consistency and quality as the main 3.0 change, then shows the same driving video with 2.6 on the left and 3.0 on the right.
In that side-by-side, he reports better movement, facial expression and face accuracy from 3.0, especially with more complex motion.

Limits visible in the 2.6 tests

In a dance test, 2.6 transferred arm timing and body rotation with the expected weight shifts.
In an upper-body gesture test, the motion matched well but the reviewer notes that fingers were not perfect in every frame.
In a beach workout, character transfer worked while the background stayed mostly static; the reviewer added environmental motion to the prompt to make the scene feel alive.

What to compare on your own clip

Because the Mixer AI input form is nearly identical for 2.6 and 3.0, a controlled A/B is straightforward: reuse the same image and driving video. Check more than pose matching—inspect the face through turns, fingers, background movement and body edges.

Face consistency during fast turns.
Hands and fingers during complex gestures.
Whether the background moves naturally with the performance or appears frozen.

Sources

Prices, availability and specifications come from the Mixer AI catalog. This is not an independent test: try both models on the same task before choosing.