Kling is Kuaishou’s closed-source video model family. Kling text-to-video and image-to-video models lead the Video Arena and are accessed through the Kling API.
See all models from Kling AIModels in family
4
Open weight
1
API only
3
Avg score
54.0
Top benchmark
85.1
Image-to-Video Arena
Total HF downloads
—
Primary modality
Video
First release
Sep 2025
Latest release
Nov 2026
Every release in the Kling family, ranked by composite score across benchmarks, popularity, efficiency, and versatility.
| # | Model | Modality | Score | Params | Released |
|---|---|---|---|---|---|
| 1 | Kling 2.5 TurboAPI | video | BB62.8 | — | Sep 2025 |
| 2 | text | BB58.4 | 27B | Nov 2026 | |
| 3 | Kling 4.0API | video | CC47.5 | — | Oct 2026 |
| 4 | Kling 4.0 PreviewAPI | video | CC47.5 | — | Sep 2026 |
When a family spans multiple modalities, the strongest model in each one.
Text
Kling-MLLM 27B
Video
Kling 2.5 Turbo
How the family splits across text, image, video, audio, embedding, and decision releases.
When each release shipped, newest first. Useful for tracking version cadence.
Nov 4
Oct 15
Sep 29
Sep 23
Composite grades across this family. Higher is better, blending benchmarks, popularity, and efficiency.
Models with downloadable weights, ranked by composite score.
| # | Model | Modality | Score | Params | Released |
|---|---|---|---|---|---|
| 1 | text | BB58.4 | 27B | Nov 2026 |
Closed-source releases accessed through Kling AI’s API.
| # | Model | Modality | Score | Params | Released |
|---|---|---|---|---|---|
| 1 | Kling 2.5 TurboAPI | video | BB62.8 | — | Sep 2025 |
| 2 | Kling 4.0API | video | CC47.5 | — | Oct 2026 |
| 3 | Kling 4.0 PreviewAPI | video | CC47.5 | — | Sep 2026 |
The Kling family is a series of AI models from Kling AI. This page lists every release in the family with its benchmark scores, parameter count, and hardware requirements.
By composite score, Kling-MLLM 27B is currently the top model in the family. For local inference, match the parameter count to your VRAM budget. For quality, pick the highest scorer that fits.
See the open-weight section above for models you can run locally. The API-only section lists closed releases that must be accessed through the provider’s API.
Spin up an instance in the cloud, or pick local hardware that fits.
Advertising disclosure: we earn commissions when you shop through the links below.
Vast.ai
Decentralized GPU marketplace with the lowest hourly prices.
RunPod
Pay-per-second GPU rentals starting at $0.20/hr.
Digital Ocean
Spin up a GPU droplet in minutes, starting at $0.75/hr.
Vultr
GPU cloud with hourly and monthly plans, starting at $0.50/hr.
GPU Mart
Dedicated GPU servers and VPS billed monthly, starting at $0.50/hr.
PPQ.ai
Multi-model inference gateway for production workloads.
Find Local Hardware
See which GPU, Mac, or workstation can run Kling on-prem.
Local LLM Mini PCs
Compact machines that run Kling on your desk. Chosen for local inference.
Benchmark data sourced from: Hugging Face, Arena.ai, Artificial Analysis.