Which AI video models generate audio along with the video?
Only some do, and it is one of the sharpest dividing lines between models. Among those available on Floniks, Kling V3 Pro generates native audio, Kling O3 Pro supports it, LTX 2.3 can produce AI-generated ambient audio, Seedance 2.0 supports audio generation, and PixVerse V6 offers an optional audio track. The rest output silent video, so you add sound in a separate step.
Native audio versus added audio
There are two ways to end up with sound on a generated clip. Native audio means the model produces picture and sound together, so the audio is derived from the same scene understanding — footsteps land when the foot lands. Added audio means you generate a silent clip and layer a track underneath, which is more controllable but has to be synchronised by hand or by a separate lip-sync pass. Neither is universally better; native audio saves a step, added audio gives you exact control over what is heard.
When native audio is worth choosing a model for
Ambient and incidental sound — rain, traffic, room tone, footsteps — is where native generation earns its place, because matching those by hand is tedious and rarely convincing. Dialogue is the opposite case: if a character needs to say specific words, generate the voice separately with a text-to-speech or voice-cloning model and drive the mouth with a lip-sync model. Native audio generation does not take a script.
Composing sound in a workflow
On a platform that chains models, sound stops being a separate project. A single pipeline can generate a frame, animate it with a silent video model, synthesise a voice track from text, and drive lip movement from that audio — all in one run. That is usually a better route than hunting for one model that does everything, because each step can then use whichever model is strongest at it.
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