Kling API: Kuaishou's Full Video Lineup

The Kling API gives developers Kuaishou's full lineup of Kling video models on Atlas Cloud through one OpenAI-compatible key. It spans generations from the efficient v1.6 to the 3.0 flagship and the Omni O3 reference model, covering text to video, image to video, and video editing. Rather than a single model, you get the whole family behind one integration, alongside 300+ other models on the same account.

The lineup covers several generations: v1.6 and v2.0 for efficient everyday work, the wider v2.1 range, v2.5 Turbo Pro for fast high-quality output, the v3.0 flagship, the Omni O3 reference and editing model, and a dedicated avatar model. Across these generations and their Standard, Pro, Turbo, and Master tiers, there are around 15 models to choose from. Each targets a different balance of speed, cost, and fidelity.

Match the generation to what the job needs. Use an older, efficient generation like v1.6 for high-volume drafts and cost-sensitive work, a mid generation like v2.1 for balanced production, and the v3.0 flagship when you need cinematic quality, native audio, or multilingual lip-sync. Because every generation sits behind the Kling API on one key, you can test a few and settle on the best fit without extra setup.

The tiers trade speed, cost, and fidelity within a generation. Standard is the everyday option, Pro raises detail and motion quality for finished work, Turbo prioritizes fast, low-latency generation, and Master denotes the top-quality tier on the generations that offer it. You can move a request between tiers by changing the model name, without reworking your integration.

Native audio and multilingual lip-sync are features of the newer generations, notably v3.0 and Omni O3, which produce synchronized sound in the same pass and match mouth movement across languages. Older generations focus on visual generation without native audio. If a project needs sound or dialogue, route it to a newer generation through the Kling API.

Across the family, the Kling API covers text to video and image to video, with newer generations adding video editing, reference to video, and start-to-last frame guidance. Image inputs use standard JPEG or PNG. The available modes depend on the generation you call, so a mixed pipeline can route each task to the model that supports the mode it needs.

Not always the latest. Older generations remain useful because they generate faster and cost less, which suits drafts, bulk social content, and high-volume testing where the newest fidelity is not required. A common pattern is to draft on an efficient generation, then re-render the approved shots on the flagship for final delivery, keeping both cost and quality in check.

Yes. Every Kling generation and tier sits behind the same OpenAI-compatible endpoint on Atlas Cloud, so switching versions is a change to the model name in your request. You do not need a separate account, SDK, or integration per version, which makes it easy to adopt newer generations as Kuaishou releases them.

Generation is asynchronous: each request returns a prediction ID that you poll until the clip is ready, and this works the same way across every generation. Route different jobs to different versions in one pipeline, add exponential backoff and a retry on a 429 response, and use faster tiers for high-volume work. Contact support to raise concurrency limits as your workload grows.

Create an account on Atlas Cloud, generate an API key, and send a request naming the Kling generation and tier you want, with your prompt or input image, through the OpenAI-compatible endpoint. Poll the prediction endpoint for the finished clip, then scale up as needed. Because the same key reaches every Kling version and 300+ other models, you can switch generations or try other models without extra setup.