Kling

Closed weights Kuaishou Technology June 2024

No estimate

No hardware requirements for this model

The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.

On record

Full specification

Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.

Origin

Who built this model, where, and when it was published.

Organisation
Kuaishou Technology
Organisation type
Industry
Country
China
Published
10 June 2024

What it does

The problem areas the model was built for. A model can carry several of each.

Domain
Video, Vision
Task
Video generation, Image-to-video, Text-to-video

Size

How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.

Training data
tokens

Availability

Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.

Weights
Closed — provider access only
Model access
Hosted access (no API)
Training code
Unreleased

"Yes, KLING AI is accessible as a public demo in China, allowing users to experience its capabilities firsthand."

How it is classified

Labels the source dataset applies when tracking notable models, and how confident it is in the entry.

Likely above 10²³ FLOP
Yes
Record confidence
Unknown

Sources

Where this record came from and when it was last checked.

Reference
Kling is a video generation model developed by the Kuaishou model team, which has powerful video generation capabilities and allows users to easily and efficiently complete artistic video creation.
Last updated
28 November 2025

What the numbers mean

Where it came from

Kling was published by Kuaishou Technology, in the country recorded as China, during June 2024. The publishing organisation is categorised as industry.

It works in the domain of Video, Vision, and is recorded as performing the task of video generation, Image-to-video, Text-to-video.

Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.

Answers

Kling — common questions

01

Kling— is it open source?

No. Its weights have not been published, so it exists only as a service controlled by its owner.

02

Kling— how many parameters does it have?

No parameter count has been published for it, which is why no memory or speed figure appears on this page.

03

Kling— who created it?

It was published by Kuaishou Technology, based in China, an organisation categorised as industry.

04

Kling— when was it released?

It was published in June 2024. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.

05

Kling— what is it used for?

It works in the domain of Video, Vision, and is recorded as handling the task of video generation, Image-to-video, Text-to-video. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.

06

Kling— what GPU do I need to run it?

None. This is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.

Source

Original publication

Record last updated 28 November 2025

The other direction

Looking at it from the other side?

This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.