Leiphone Test Finds Seedance 2.5 and Kling 3.0 Diverge on Workflow and Compliance

In the first test, both models were asked to have an original anthropomorphic crayfish host stand in a miniature tech studio and introduce OpenClaw 2.0, an agent workbench that combines dialogue, tools, devices, browser, skills, automation, approvals and collaborative sessions. The prompt required an opening, a workbench unfolding, multiplayer collaboration, skill flow, a permission and sandbox reminder and a closing line.

According to Leiphone, Seedance 2.5 produced a highly finished clip. The crayfish host's red rounded body, black eyes, transparent headset and small claw movements remained stable, and the scene moved from a close-up at a tech desk to a mid-shot and a safety-lock ending. The report said this made the clip resemble a technology product launch video. But it added that the model did not clearly explain OpenClaw 2.0: chat boxes, avatars, locks, files, panels and process cards appeared as generalized UI elements without clear causal links, so viewers might not understand what collaboration sessions, Skill, device control, permission approval or sandbox capabilities solve. Several text areas also appeared despite the prompt asking for fewer small words, and the text was not stable enough to carry reliable information.

Kling VIDEO 3.0, by contrast, followed the storyboard more closely. Its first frame put OpenClaw 2.0 in the center, with the crayfish host beside robots, plugins and lock icons, so the opening immediately told viewers what they were watching. Later shots corresponded to the requested sequence: the workbench unfolded, team avatars joined, a Skill module appeared, sandbox and permission reminders showed up, and the clip closed on modular visuals. The report said Kling's crayfish was more cartoonish in expression, body proportions and movement, closer to an animated host than a miniature photographic prop. Text remained risky: Skill appeared with misspelled characters. The report said Kling was bolder and clearer in putting theme text on screen, but with multiple labels, small-text stability could not be fully trusted. The ending was also scattered; instead of all modules gathering into a tidy workbench, cubes and modules spread through space, giving a sense of a technology ecosystem but lacking a clear visual landing point. Wait times differed: Seedance 2.5 was faster to return a result, suitable for quickly testing a direction, while Kling VIDEO 3.0 took longer but delivered more explicit storyboard execution and theme exposure.

The second test moved closer to commercial video production. Leiphone gave both models a high-emotion reference frame from the Chinese drama Fu Shan Hai, featuring Li Chenzhou and Zhao Shirong's snow death scene, and asked them to rewrite the ending into a happy one.

Seedance 2.5 stopped at the reference-image stage. In the Jimeng AI entry for Seedance 2.5, the system rejected the image with a message that it might involve a portrait similar to a public figure and needed to be modified before retry. The report said this showed the review was not limited to prompt text but also checked the reference image itself. In a second attempt, Leiphone removed the reference image and kept only camera instructions and rewrite text. The system still said the generated video contained copyrighted elements and stopped generation. According to Leiphone, Seedance 2.5 does not simply block when an image is present and pass when it is absent; it can perform a secondary check on the generated result. The report said that from a commercial production view this may not be a disadvantage, because a video that can be generated but cannot be safely published still costs brands, film and television companies and advertising agencies. Seedance 2.5 did not deliver a clip in this test, but it delivered a clear compliance signal: content involving real series material and actor likenesses is not suitable for direct entry into its production chain.

Kling VIDEO 3.0 generated a complete video in the same reference-frame rewrite test. It retained the snow scene, character relationships, period costumes and tragic mood of the starting frame; in the middle it completed actions such as lifting, flying away, entering a room and receiving treatment; and it ended on a snowy sunset and the two characters' backs. Within 15 seconds it strung a crisis opening, transition, treatment and emotional close into a relatively complete short film. Leiphone said Kling is strong at multi-shot narrative within 15 seconds, especially when a first frame, action route and ending image are given. But it noted that the more a model can replicate characters and styles from a reference image, the more users need to confirm material authorization in advance. Kling was more likely to extend a reference image into a complete video, while Seedance 2.5 was more likely to stop before copyright or likeness risks. The former showed generation capability; the latter showed compliance boundaries.

Leiphone traced the differences to the two products' official positioning. Seedance 2.5 lists 30-second story descriptions, multiple reference materials, precise reference control and post-generation editing. Public material cited by the report says it supports text, image, video and audio inputs; allows up to 30 images, 10 videos and 10 audio clips as reference material; and emphasizes timestamp-level editing, green screen, white-model spatial control and local modification. That route targets longer, directable and editable production units. In the OpenClaw 2.0 explainer, Seedance 2.5 more naturally produced a flowing advertising-style clip with continuous visual packaging and a character performing in a complete space. The report said the copyright interceptions also relate to product positioning: the more a platform enters advertising, short-story and complex material assembly scenarios, the more it needs stronger risk control over reference materials and generated results. Otherwise, the ability to reference, continue and edit could become a copyright risk amplifier.

Kling VIDEO 3.0's official keywords are 3-15 seconds, native audio, multi-shot, multi-character dialogue, element consistency and 4K/1080p/720p tiers. The report described this as a short-video director assistant. In the OpenClaw 2.0 test, Kling 3.0 executed the storyboard better and more strictly followed the shot breakdown: opening, workbench, collaboration, permissions and summary. For a 15-second short, that controllability is practical. In the plot rewrite, it quickly generated a complete segment with a short-drama emotional reversal: conflict at the opening, action in the middle and an emotional landing at the end. When shots, information points and text labels multiply, however, Kling tends to draw all the information without necessarily ensuring every word is accurate or every module has a clear relationship.

Leiphone concluded that the gap between video models is now in product workflow, not just image quality. Seedance 2.5 is better at making footage look polished; Kling VIDEO 3.0 is better at executing storyboards. Kling is easier to get a finished clip from; Seedance 2.5 stops earlier at risk. For ordinary users, the former is more direct; for commercial creators, the latter is also critical.

Back in a real workflow, the report said Kling VIDEO 3.0 is better for quickly producing a first version of a technical explainer short, because it follows storyboards and is more willing to put titles and modules on screen. Seedance 2.5 has an advantage in higher-quality brand packaging, where image completion and character stability look more like a commercial advertisement. For content involving real people, film and television footage or IP rewrites, Seedance 2.5's strict interception may frustrate creators but is safer for commercial publication. Kling VIDEO 3.0's generation ability is strong, but the more it can replicate a reference image, the more copyright, likeness and platform authorization must be settled before generation. The report described Seedance 2.5 as a cautious image production tool and Kling VIDEO 3.0 as a high-execution short-video director. The former is more restrained in texture and boundaries; the latter is more active in 15-second storyboards and image-to-video continuation.

Leiphone said this reflects a change in AI video models entering 2026. In the past, viewers often judged a model by a generated horse, dance or explosion. Now, the real tests are whether it can break a complex request into shots, match sound and picture, explain a technical concept in 15 seconds and know what it must not touch. Commercial video has never depended only on stunning moments; it depends on subject compliance, shot controllability, usable sound, reliable text and affordable rework. The report said the next dividing line for AI video models will fall in those areas.