Kling 4.0 vs Seedance 2.5: Same Prompt, Two Storms—Which Side Are You On?
PixVerse used the same Viking longship storm prompt to test Kling 4.0 and Seedance 2.5 separately. The prompt was detailed down to the shot breakdown and character blocking, and the two models' outputs differed noticeably. Commenters had their own preferences, and one user even ran additional multi-model tests.
AI video generation platform PixVerse posted a comparison video on X: the same Viking ship storm prompt was given to Kling 4.0 and Seedance 2.5 separately, each generated in a single pass. Kling is Kuaishou's video generation model, and Seedance is a ByteDance product; both are mainstream models in the video generation space today.
The video shows a Viking longship crossing a storm. The prompt itself is a complete 30-second shot-by-shot script: the positions of 12 characters, what to shoot in each time segment, how the camera moves, when lightning strikes the rigging, and the dialogue between father and daughter—all hard-coded. It even requires that the first frame must show all 12 people rowing on the boat; no empty-boat opening is allowed.
The toughest requirement in the prompt is this: every time the shot returns to a wide or medium shot, it must clearly show where each of the 12 people is. The model not only has to generate the imagery but also continuously maintain the spatial distribution of the characters in 3D space. This is where many video models tend to fail. This comparison is not just an image-quality test; it is a stress test of prompt adherence and spatial consistency.
The comments split into two camps. Some users felt that Kling 4.0 rendered the texture of the fur cloaks and the weight of the waves better, with a brighter image; others felt that Seedance 2.5's cold mist and gray skies had more of a historical-film feel. Someone specifically pointed out that the frame in Seedance 2.5 showing a lone ship in huge waves was their favorite image. The two styles are different, and it's hard to say either is comprehensively ahead.
A user named Kevin posted his own multi-model test in the comments. The same Halloween scene, the same set of images and prompt, run once each on Kling 4.0, MiniMax H3 Max, and Wan 3.0—no rerolls, one result each.
His take: it's hard to judge image quality directly, but Kling wins on price.
The value of this kind of comparison isn't in deciding a winner; it's in exposing each model's temperament. Some are good at texture, some at atmosphere, and some at cost-performance. Prompts are becoming a director's language: you can direct the model like a film crew, provided you understand what it's good at. Choosing a video model ultimately has to come back to the specific task, not single-frame image quality.
One commenter put it well: the real test is whether characters move naturally, whether the camera stays coherent, and whether the environment keeps responding. Test by that standard, and it will be clear which model suits your project.
The full prompt and more comparisons are in PixVerse's tweet. If you want to reproduce the experiment, you can grab them directly.
发布时间: 2026-10-28 05:02