Mixer AI › Knowledge Base › Comparison › Kling 4.0 vs Kling AI Avatar: specs and price

Kling 4.0 vs Kling AI Avatar: specs and price

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.

Updated 2026-10-28

Try it on Mixer AI

Key differences

Kling 4.0: A clip of up to 30 seconds from text and references or from a chain of keyframes: named characters, voice samples and exact frames.

Kling AI Avatar: A speaking or singing portrait from one photo and a finished audio track.

Specifications

Spec	Kling 4.0	Kling AI Avatar
Model variants	Reference / Keyframes	Standard / Pro
Generation modes	from text / from first and last frames / from references	—
First frame	Yes	No
Last frame	Yes	No
Input photos	up to 8	1, required
Input videos	up to 5	No
Input audio files	up to 3	1, required
Input video length	2–30 s	No
Output audio	—	Yes
Minimum duration	3 s	—
Maximum duration	30 s	—
Resolutions	720p / 1080p	No separate selector
Aspect ratios	9:16 / 16:9 / 1:1 / auto / 21:9	Follows the input
Prompt limit	8,000 characters	5,000 characters
Price, 1 s · 1080p	≈ 18.22 coins · Reference	≈ 11.55 coins · Pro

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 Kling 4.0

A clip of up to 30 seconds from text and references or from a chain of keyframes: named characters, voice samples and exact frames.

Text and references: up to 10 reference photos and 5 videos, up to 7 characters (2–4 photos or one 3–8 second video clip each) and up to 3 voice samples. The Video sound switch applies only to reference videos.
Keyframes: a first frame, a last frame and up to 8 middle frames. The total number of frames depends on the duration and never exceeds 10.
The modes do not mix: Keyframes accepts no video, and characters and voices belong only to Text and references mode.
A hero photo must be at least 300 pixels on the short side; a video character needs at least 700 pixels and one continuous shot.

What to inspect with Kling AI Avatar

A speaking or singing portrait from one photo and a finished audio track.

One photo and one audio file are required.
Standard outputs 720p; Pro outputs 1080p. Duration follows the audio, up to 300 seconds.
Typed text cannot replace the audio file.
A strong profile, hidden face or multiple voices can weaken lip synchronization.

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.

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.

Prices and availability — Mixer AI catalog

What we compare

Kling 4.0

A clip of up to 30 seconds from text and references or from a chain of keyframes: named characters, voice samples and exact frames.

Kling AI Avatar

A speaking or singing portrait from one photo and a finished audio track.

FAQ

How should I compare Kling 4.0 and Kling AI Avatar 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. Both tools are in the current Mixer AI catalog. They are often used one after the other: for example, one model makes the video and another improves the file.

Which model is better?

There is no single winner. First rule out the model that lacks the duration, first or last frame, sound or resolution you need, then compare clips on your own scene. The table highlights only measurable differences.