Spec sheets don't tell you how a model actually handles motion, so here's what stood out running the same kind of prompt across each of the four uncensored video models currently available, plus an honest note on the one that isn't.
Generate video freeUp to 1080p across multiple aspect ratios, including vertical 9:16. Camera-motion prompts translate the most reliably of the four into something that reads as a deliberate shot rather than a static clip with slight movement.
Lower resolution and less refined motion than Seedance, but the lowest cost per generation by a clear margin — the practical choice for testing five variations of a prompt before committing credits to a polished render elsewhere.
Supplying a starting and ending photo and letting Vidu Q1 generate the transition between them produces more coherent transformation-style motion than describing the same transition in text on any other model tested.
Noticeably more natural expression and gesture on talking or performing subjects than the budget models — the tradeoff most visible in scenes that lean on the face rather than full-body motion.
Worth noting honestly: Kling wasn't included in hands-on testing because there is currently no mainstream uncensored access to it — the official app filters adult content, and the third-party access that previously existed has been discontinued. If that changes, this comparison will be updated.
Seedance, for closest-to-finished cinematic quality at up to 1080p. Wan trades quality for speed and cost; Vidu and Hailuo each have a specific strength (start-end frame control and facial expression, respectively) rather than an overall edge.
There's currently no mainstream uncensored access to Kling — the official app filters adult content and the previously available third-party access has been discontinued along with its underlying endpoint.
Wan 2.1/2.2, by a clear margin on cost per generation, making it the practical choice for iterating on many prompt variations.











