How long can AI-generated videos be?
Most current models produce clips between three and fifteen seconds, and the ceiling is per model rather than per platform. Some are fixed at a single length — VEO 3.1 renders exactly eight seconds — while others cover a range. Longer pieces are assembled from several clips rather than generated in one pass, which is why first-and-last-frame control matters more than raw clip length for anything narrative.
The practical ceilings
Clip length is a hard model property, not a setting you can push. Among models on Floniks, ranges run from three to fifteen seconds depending on the model, with VEO 3.1 fixed at eight. Talking-head models are the exception: OmniHuman v1.5 takes up to sixty seconds of audio at 720p, because the length is driven by the voice track rather than by generated motion. Check the model page for current limits before planning a shot around a specific duration.
Assembling longer pieces
A two-minute video is not one generation; it is a dozen clips cut together. The technique that makes this work is chaining end frames: generate the first clip, use its final frame as the opening frame of the next, and continue. Combined with reference-based character consistency, this produces a sequence that reads as continuous rather than as a series of near-misses.
Plan the edit before you render
Because length is fixed per model, the shot list should be written against those limits rather than discovered against them. Deciding in advance that a scene is three eight-second shots leads to different framing than deciding you want a twenty-four-second take and then finding out you cannot have one. Treat model duration as a constraint of the medium, the way a film maker treats a magazine of film.
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