Two creators can ask for an AI video and need quite different things. One has only a written idea and wants time for a scene to unfold. The other already has an illustration and wants a short clip with sound. Choosing a model gets easier when those needs come before the feature list.
Kling 4.0 and Vidu Q4 are both available on JXP, but their current tools offer different starting points. Kling supports text, image and video references, plus a separate keyframe mode. Vidu starts with images and offers optional generated audio. Kling also allows longer clips in this workspace.
For everyday creators, those differences matter more than a claim that one model is universally better. This comparison covers the options offered on JXP, rather than every capability announced for either model. It is a guide to choosing a tool, not a hands-on ranking of picture quality.
The main differences on JXP
| What you need | Kling 4.0 | Vidu Q4 |
| Starting point | Text, references or keyframes | Image to Video or Reference to Video |
| Clip length | 3–30 seconds | 3–16 seconds |
| Reference inputs | Up to 10 images and 5 videos | 1–12 images and up to 3 optional audio clips |
| Output resolution | 720p or 1080p | 540p, 720p, 1080p, 2K or 4K |
| Sound controls | No equivalent audio switch shown in the current studio | Generate audio can be switched on or off |
The table describes available settings, not measured results. A larger resolution option does not prove that a model follows instructions better. Equally, a longer maximum duration does not mean every idea needs the longest clip.
Choose Kling when the idea needs more room
Kling’s 30-second limit is useful when the main action needs more than a brief reveal. Think of a fictional observatory scene: the roof opens, a telescope turns, and the view settles on the night sky. Rushing the whole idea into a few seconds could make it difficult to follow.
A creator planning a 24-second version can explore that length in Kling’s current workspace. Vidu Q4’s single-clip limit is 16 seconds, so the same plan would need to be shortened or assembled from separate clips. Joining clips is a valid editing choice, but it introduces another decision about where the cut belongs.
Kling also provides a Text to Video route. That matters when there is no source image yet. You can describe an imagined setting without first making artwork simply to satisfy an image upload requirement. It gives an early idea somewhere to start.
Its video-reference input is another practical difference. A suitable clip can communicate the intended movement alongside image references for the scene’s appearance. This is useful when words such as “a calm reveal” leave too much open to interpretation. Reference material guides generation; it does not guarantee an exact copy.
Choose Vidu when images and sound come first
Vidu Q4 is worth considering when you already have the visual starting point and need a shorter scene. Its Image to Video mode uses one source image and preserves that image’s aspect ratio. Reference to Video instead requires a prompt and images, with optional audio references.
Suppose the observatory artwork already exists and the goal is a short animated scene with night-time ambience. Vidu’s Generate audio setting provides a direct way to request sound with the picture. Its audio-reference option may also be relevant to a character scene, provided you have permission to use the recordings.
That does not establish Vidu as the better choice for every sound-led project. Listen to the result and check whether dialogue, effects or ambience fit the scene. If you already have a finished soundtrack, switch generated audio off rather than adding sound you do not intend to use.
Vidu also offers higher output resolutions in this workspace. That is a concrete option for creators whose delivery brief calls for a larger frame. It should still be judged alongside motion, visual detail and the cost shown before generation, rather than treated as a quality verdict by itself.
Use planned images when the sequence matters
Some ideas need particular pictures at particular stages. A written request for an observatory roof to open leaves the model to interpret the arrangement. If you have already drawn the opening, middle and closing views, those pictures can communicate the plan more directly.
For this kind of scene, keyframe video generation in Kling 4.0 offers a separate starting point. JXP accepts a first image, up to eight middle images and an optional final image. You do not need to fill every available position to explain a simple change.
Vidu’s collection of reference images serves a different purpose. References help describe subjects, settings or visual style; they should not automatically be read as an ordered keyframe sequence. Decide whether your pictures explain what the scene looks like or how it should progress.
Compare a useful clip rather than a feature count
If both tools fit the job, use one short brief to compare them. An eight-second observatory scene fits both duration ranges. Use the same authorised image where the selected modes allow it, choose a shared resolution, and judge whether the important action is clear. Compare sound separately if it is part of the requirement.
For example, keep both visual trials at 1080p and ask for the observatory roof to open while the camera stays outside. Check whether the opening is visible and the building remains recognisable. Do not compare a silent landscape in one tool with a talking character in the other. After that shared trial, explore each model’s extra options only if they answer a real need, such as a longer scene or generated ambience.
Check the displayed credit estimate for each setup. Different input types and settings can change the cost, so a headline price alone is not enough. A clip that meets the brief is more useful than several attractive versions that do not.
Kling 4.0 is a sensible first choice when you want to start with text, use a video reference or give a planned scene more time. Vidu Q4 is an alternative when an image-led clip, optional native audio or a higher resolution is central to the job. Choose the requirement you cannot compromise on, then build around it.
