Kling: Video v3.0 Pro

Kling: Video v3.0 Pro is a video generation model from Kling, the AI video line developed by Kuaishou. It sits in the premium tier of the Kling v3.0 family, positioned above the Standard tier on visual quality. For a developer building a product that needs generated video, this is the model to reach for when output fidelity matters more than generation speed or breadth of input types.

The model takes text and images as input and produces video as its only output. Text prompts drive text-to-video generation, while image input enables image-to-video workflows. It supports first-frame and last-frame control, which lets you anchor a clip at both ends of its timeline rather than only at the start. Output is rendered at 720p, and you can choose between 16:9, 9:16 and 1:1 aspect ratios. Clip durations run from 3 to 15 seconds in one-second steps. Audio generation is available as well, so a single request can return video with sound rather than a silent track. No context window is published for this model, since the relevant constraint is clip length and resolution rather than a token budget.

Those capabilities point to a fairly specific set of uses. Marketing and social teams can turn a written concept into a short vertical clip for a feed placement, or a widescreen cut for a landing page. Product teams can animate a still render or a design mockup into a moving preview without shooting anything. Because first-frame and last-frame control exist, the model also fits shot-to-shot continuity work: you supply the frame a clip should start on and the frame it should land on, and the model fills the motion between them. The 3 to 15 second range suits short-form formats, transitions and looping backgrounds more than long narrative sequences.

You call the model through api14's OpenAI-compatible API using the model id "kwaivgi/kling-v3.0-pro". Because the interface follows the OpenAI request shape, existing clients and SDKs work with minimal changes: point your base URL at api14, set the model field to that id, and send your prompt and any image input in the usual way. The request parameters the model accepts are max_tokens, temperature and top_p. Temperature and top_p give you control over how tightly generation adheres to the prompt versus how much variation it introduces, which is useful when you want reproducible marketing assets or, conversely, several distinct takes on the same brief. max_tokens is accepted as a parameter, though the meaningful output controls for this model are the resolution, aspect ratio and duration settings described above.

Worth knowing before you commit: output resolution is fixed at 720p, so projects that need higher resolution will have to look elsewhere. The model is video-only in its output modality, so it will not return text or images. If your task is text generation, classification or anything outside video production, a language model is the correct choice instead. Within video work, Kling: Video v3.0 Pro is the higher-quality option in its family, which makes it the natural pick when visual fidelity is the deciding factor.