Kling Video 3.0
Neural Network
Kling Video 3.0 is a Kling neural network for generating videos up to 15 seconds with native audio, multi-shot, and improved consistency.
Max answer length
(in tokens)
Context size
(in tokens)
Video generation
(duration 8 sec., 720p)
Video generation
(duration 8 sec., 1080p)
How it works Kling Video 3.0?
Kling Video 3.0 is a Kling video model that creates clips up to 15 seconds long: with multi-shot control in one scene, native audio, and more stable object and character consistency than the previous version. You can generate clips from text descriptions, and multi-shot allows you to set up shot changes within a single task. In BotHub, Kling Video 3.0 works from Russia without a VPN or foreign card: you pay in rubles for what you use, and tokens do not expire at the end of the month. With over 250 models in the same window, you can create scripts, voiceovers, and frames without switching services. For business tasks, there is a unified API and corporate terms with contracts, invoices, and an admin panel. It is useful if you are filming commercials and promos for marketplaces, making short videos for social media, creating animatics and pre-visualization of scenes before shooting, preparing intros and transitions for editing, or showcasing products in presentations.Frequently asked questions about Kling Video 3.0
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
The kling-v3-video model from kwaivgi generates video from text descriptions or animates uploaded images. It is suitable for short commercials, animating static frames, clip concepts, and social media content, as well as quickly testing visual ideas before shooting. Access from Russia without a VPN or foreign card.
You get a finished video sequence as output — in text-to-video or image-to-video mode. See the technical header of the page and generation settings for specific resolution and duration values: we will not invent them. The detail of the scene description directly affects the accuracy of movement in the frame.
Step-by-step reasoning is not noted for this model in our data: it is a generative video model, not a chat assistant. Your prompt plays the role of 'reasoning' here — the more accurately you describe the shot, lighting, camera movement, and character action, the more predictable the result.
Function calling and strict structured output are not noted in our data — the model returns video, not text structures. However, you can access it via the unified OpenAI-compatible BotHub API, so generation can be integrated into your product just like other models.
Images — yes: the model creates a moving video from an uploaded frame. Inputting audio and video is not noted in our data. The text part of the request is considered within a 4095-token context, so the scene description should be concise and without unnecessary details.
The prompt language is not fixed in our data, so we will not promise specific understanding quality — test it with your task. The BotHub service itself is fully Russian-language: interface, support, payment with Russian cards, and access without a VPN. Describe the scene simply and concretely.