Kling 4.0 AI Video Generator

Kling 4.0 is Kuaishou's new video model: multi-shot clips from 3 to 30 seconds at up to 1080p, with native stereo audio, up to 15 mixed references and video editing. It is not on OnVid yet; it arrives once its API opens.

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Kling 3 4K · cinematicVeo 3.1 native audioSeedance 2 #1 arenaWan 2.7 image-to-videoHailuo 2.3 expressiveHunyuan open sourceKling 3 4K · cinematicVeo 3.1 native audioSeedance 2 #1 arenaWan 2.7 image-to-videoHailuo 2.3 expressiveHunyuan open source

What is Kling 4.0?

Kling 4.0 is a next-generation video model developed by Kuaishou that produces continuous multi-shot scenes with native stereo audio and dialogue. While early access is currently limited to standalone environments, OnVid's AI video generator plans to integrate the model as soon as public API access opens.

Clips up to 30 secondsNative stereo audioMulti-asset scene continuity

Kling 4.0 specs, pricing, and best uses

New

by Kuaishou

Multi-shot clips up to 30 seconds with stereo audio, 15 mixed references and video editing.

Resolution
720p · 1080p (4K soon)
Max length
3–30s
Audio
Native stereo
Inputs
Text · Image · References · Video
Best for
Long multi-shot scenes
Cost
Not available on OnVid
Capabilities

Core capabilities that define Kling 4.0

Explore how the advanced architecture of Kling 4.0 powers multi-shot consistency, synchronized stereo dialogue, and sustained motion across complex production timelines.

Kling 4.0 image to video animation

Kling 4.0 image to video transforms single still photos or starting frames into fluid motion clips with precise trajectory control. The architecture preserves facial identity, clothing details, and environmental textures from your uploaded image while rendering smooth physical dynamics. You can define an optional end frame to guide the exact closing composition of your AI video scene.

Developer access and the Kling 4.0 api

The Kling 4.0 api is scheduled for public developer integration following its initial deployment across creative playgrounds and specialized partner environments. When the external endpoint becomes available, OnVid plans to integrate the architecture directly into its multi-model AI video generator catalog. This upcoming integration will let creators access the model alongside existing production tools without managing separate server keys.

Extended native duration up to 30 seconds

Kling 4.0 generates continuous sequences from 3 to 30 seconds in precise one-second increments without requiring chained post-processing cuts. Earlier generation pipelines capped single clips at 15 seconds, making prolonged dialogue exchanges or elaborate tracking shots difficult to sustain. The expanded temporal window keeps lighting, subject proportions, and background velocity stable across the entire AI video.

Native stereo dialogue and synchronized audio

Kling AI 4.0 integrates a two-channel stereo audio engine that produces spoken dialogue, ambient soundscapes, and acoustic effects alongside visual frames. The model coordinates mouth mechanics directly with spoken phonemes across nine languages including English, Spanish, French, and Japanese. This unified generation reduces out-of-sync speech artifacts and provides balanced spatial sound directly in the downloaded video file.

Omni reference multimodal control

Kling 4.0 introduces multimodal reference capabilities that accept up to fifteen separate media assets across images, video clips, and vocal profiles. Creators can specify up to seven distinct scene elements, ten concept photos, and three reference voices to maintain episodic continuity. This deep reference framework ensures recurring characters and signature set pieces remain identical across multiple generated cuts.

Multi-shot scene direction and per-shot prompts

Kling 4 produces complete cinematic sequences by evaluating discrete camera instructions across consecutive visual angles within a single generation run. The default multi-shot system supports wide establishing shots followed by medium close-ups while locking character appearance and scene geometry in memory. This eliminates sudden background shifts between scene transitions, delivering coherent visual storytelling straight from your initial script.

Use cases

Who uses Kling 4.0, and what they make

Digital storytellers, episodic creators, and commercial designers look to Kling 4.0 to produce continuous multi-shot AI video scenes with native stereo dialogue.

Episodic creators evaluating the Kling 4.0 price for continuous AI video scenes

Independent creators directing multi-shot web series watch the Kling 4.0 price closely, since fal's playground bills about 24 cents per second at 1080p. They rely on the model's thirty-second clip duration and built-in multi-shot timeline to maintain character continuity and synchronized stereo dialogue across cinematic cuts.

AI video models

Kling 4.0 and top AI video models, all in one studio

Match the right engine to every scene without juggling tools or extra accounts, whether you follow Kling 4.0 releases or create scenes today with OnVid's AI video generator.

ModelResolutionMax lengthBest forSpeed
1080p5s / 10sCinematic, multi-shotMax quality
720p / 1080p / 4K8sNative audioBalanced
720p / 1080p4s / 8s / 12sPrompt adherenceBalanced
480p / 720p / 1080p5s / 10sSharp motionFast
768p / 2K5s / 10s2K detail with soundBalanced
768p6s / 10sExpressive motionFast
1080p+~20sUnified multimodalMax quality
480p / 720p / 1080p5s / 10sReferences + video remixFast
480p / 720p6sFast clips with soundBalanced
How it works

How to make a video with Kling 4.0

Kling 4.0 runs in fal's playground and Kling's own app today; OnVid will add it once the API opens. The workflow is the same everywhere.

01
Add image

Write the scene shot by shot

Describe each shot on its own line: framing, action, camera move and any spoken lines in quotes. Multi-shot is on by default, so the model cuts where you mark shots.

02
Kling 35s10s16:9

Set length, ratio and references

Pick 3 to 30 seconds, an aspect ratio (21:9, 16:9, 1:1 or 9:16), and add a start frame, end frame or up to 15 reference images, clips and voices.

03
Ready

Generate, review and iterate

Render at 720p for drafts, check motion and lip sync, then rerun the keeper at 1080p. Each second is billed, so draft short before going long.

Creator feedback

What creators say about making AI video on OnVid

Feedback from creators using Kling 3.0 and other models on OnVid.

★★★★★
“Planning my story scenes shot by shot made a huge difference. Seeing dialogue hold lip sync across cuts makes episodic shorts so much simpler.”
Marcus T.Digital storyteller
★★★★★
“The sound matched the scene motion without separate audio tweaks, and a start frame keeps my recurring character consistent through the clip.”
Elena S.Independent animator
★★★★★
“Generating longer cinematic sequences with realistic camera tracking saved me hours of manual stitching. The motion stays smooth even during fast action sequences.”
David K.Content creator
Technical overview

Exploring Kling 4.0 capabilities and performance limits

Explore technical specs, clip lengths, and pricing details to choose the right model for your next AI video project.

Steadier cinematic motion and multi-shot continuity

With Kling 4.0, filmmakers can generate sustained sequences lasting up to 30 seconds with continuous character identity and native two-channel stereo sound. Kuaishou built it for longer scenes: Kling 3.0 stops at 15 seconds, while here durations between 3 and 30 seconds can be specified directly in single-second increments. This extended timeline gives storytellers room to establish atmosphere, pace character dialogue, and develop dramatic moments without sudden cuts.

The model creates output in 720p and 1080p, while full 4K output with 10-bit HDR color is scheduled for future release. Multi-shot prompting functions by default, enabling distinct camera transitions inside one scene while maintaining character faces, clothing details, and environmental lighting across cuts. The synchronized audio engine supports speech, musical cues, and ambient sound effects across nine languages, matching acoustic reverberation to the virtual space shown on screen. This structural leap allows creators to build cohesive scenes where characters speak and move naturally without rapid visual degradation or erratic frame shifts.

Supported multimodal inputs for prompt workflows

Running a prompt through the new release allows creators to supply text, single starting images, or up to ten distinct keyframes to steer camera transitions. The core advancement in this release is the Omni Reference architecture, which accepts up to fifteen media assets in one clip setup. Creators can combine up to ten images, five video references totaling thirty seconds, seven discrete visual elements, and three distinct voice samples to guide character appearances and auditory delivery. Having this broad asset support makes it easier to keep recognizable props and actor likenesses consistent throughout complex narrative sequences.

Aspect ratio controls cover standard cinematic 21:9, widescreen 16:9, square 1:1, and vertical 9:16 framing, alongside automatic ratio detection for reference media. Source video clips between 3 and 30 seconds can also be edited or restyled directly, giving digital artists fine control over existing video timelines without rebuilding scenes from scratch.

Next-gen architecture vs Kling 3.0 and peer models

When evaluating the upgraded engine against Kling 3.0, the biggest differences emerge in clip duration, audio integration, and multi-shot consistency. Kling 3.0 remains an exceptional model that supports resolutions up to 4K and handles high-fidelity short clips up to 15 seconds, making it ideal for sharp visual loops. In contrast, the newer fourth iteration focuses on narrative storytelling, stretching native continuous scenes to 30 seconds and embedding native two-channel stereo dialogue directly into the output.

Against broader industry peers, the choice depends on project priorities. Creators comparing Kling alternatives or seeking specialized multi-image character consistency often rely on Kling O3, while those prioritizing fast iteration and expressive motion frequently turn to Seedance 2.5. On OnVid, Seedance 2.5 makes 5 to 10-second clips at up to 1080p with native audio, providing dependable creative agility. Selecting this fourth-generation architecture makes the most sense when a single prompt must coordinate complex multi-shot dialogue scenes across half a minute of footage.

Visual genres and narrative sequences that excel

Kling pitches the model at dialogue-heavy episodic scenes, rapid action sequences, and coherent camera pans. Its headline claim is steadier complex motion, such as vehicle chases and fight choreography, where earlier models tended to warp limbs and clothing. Dramatic sequences benefit from the model's two-channel stereo audio system, producing natural dialogue alongside environmental sound effects in English, Spanish, Chinese, Japanese, and French.

For rapid conceptual drafting, the Flash variant provides a lightweight option that produces 720p output up to 20 seconds at reduced compute cost. Stylistically, the system handles realistic documentary textures, stylized animation, and dark science fiction aesthetics with equal competence. For episodic web dramas, the useful part is the promised ability to hold a single set design and wardrobe across successive camera angles without noticeable style drift. If it holds up in your tests, consecutive shots feel like part of a unified production rather than disconnected visual experiments.

Pricing details and access costs

Understanding the current price model requires looking at compute hosting, because the architecture is not yet integrated into consumer web tools. While the original development team published documentation in mid-October 2026, third-party hosting on the fal platform currently costs $0.157 per second for 720p and $0.235 per second for 1080p. Under these developer rates, a ten-second 1080p clip costs roughly $2.35, which several early testers note can add up quickly during experimental sessions.

At present, the release is not available on OnVid because public API endpoints remain unreleased. OnVid plans to integrate the model as soon as developer API access opens up to third-party platforms. Until then, you can make videos with Kling 3.0, Kling 2.5 Turbo and Seedance 2.5 on OnVid, which is free to start after you sign up, with credits shown before every run.

Evaluating generation stability and physics accuracy

Kling's own examples focus on camera dollies, crane shots and fast pans with the background staying anchored, and on characters that move with believable weight instead of gliding. Those are the vendor's showcase clips, so judge it on your own prompts before committing a project to it.

Like every current video model, fine hand movement and fast object handoffs are the usual places to look for warping. Furthermore, while technical materials previewed 4K export with 10-bit HDR color and two-minute video extensions, both capabilities remain marked as coming soon and cannot be generated today. Recognizing these current boundaries allows filmmakers to play to the model's genuine strengths, focusing on deliberate pacing and established staging. Testing prompts across varied lighting setups confirms that the engine handles contrast and lens flares cleanly when given explicit camera guidance.

Prompt strategies for multi-shot AI video

Setting up an advanced image to video workflow requires specific camera descriptors and emotional cues rather than vague aesthetic keywords. To maximize multi-shot coherence, format text instructions with explicit per-shot headers, such as defining Shot 1 with a wide establishing angle and Shot 2 with a tracking medium closeup. Specify real optical parameters, like an 85mm portrait focal length or a 24mm anamorphic lens, to ground the virtual camera in believable cinematic language.

Audio cues should be written directly into the prompt using quotation marks for spoken lines alongside bracketed notes for background noise, such as distant street traffic or rain hitting a windowpane. While creators wait for fourth-generation API availability, mastering these structured prompting habits on OnVid's text to video platform carries straight over to Kling 4.0 when it arrives. Clear instructions that outline lighting source, character action, and camera trajectory consistently yield superior coherence across all current video models.

Made with OnVid

Watch AI videos made on OnVid with Kling 3.0 and other models

These clips come from models already on OnVid, not Kling 4.0. Hover over any card to preview it.

Kling 3
A sports car drifts around a mountain hairpin at sunset, tire smoke, low tracking shot, cinematic
Kling 3
Armored warriors clash on a smoke-filled ancient battlefield, cinematic slow motion
Kling 3
A dune buggy tears through the desert as a helicopter and explosions erupt behind it
Kling 3
Operators in a dim mission-control room watch glowing monitors, cinematic
Kling 3
A hiker reaches a misty mountain summit at sunrise, arms raised, epic vista and sea of clouds, cinematic
Kling 3
A hand sprays perfume in a golden desert as birds scatter, cinematic slow motion
FAQ

Kling 4.0 questions, answered

Find direct answers to common technical questions about Kling 4.0, including its release timeline, platform availability, generation limits, and native stereo audio capabilities.

What does Kling 4.0 do?

Kling 4.0 generates multi-shot cinematic videos up to 30 seconds long with synchronized stereo audio from text or image inputs. Built by Kuaishou, the model preserves character identity, scene lighting, and complex camera movements across several sequential camera cuts.

Who is behind Kling AI and its video models?

Kling AI is developed by Kuaishou Technology, a major digital media and technology firm based in China. The company builds deep-learning video architectures that power both standalone creative tools and large-scale video processing pipelines.

How does Kling 4.0 handle scene continuity across multi-shot cuts?

The model uses native multi-shot prompting that lets creators define specific camera directions for separate scenes in a single request. By retaining subject embeddings, it keeps human faces, wardrobe, and environments consistent across successive scene transitions.

Is Kling 4.0 free to use?

Not on fal: its playground bills about $0.157 per second at 720p and $0.235 at 1080p. Kling's own app sells it for Kling credits. It isn't on OnVid yet; OnVid plans to add it once public API access opens.

Where can I try Kling 4.0 right now?

In fal's playground and fal Agent, and in Kling's own app. There is no public API yet, so tools like OnVid can't offer it until that opens. Meanwhile you can use Kling 3.0, Kling 2.5 Turbo and Seedance 2.5 on OnVid.

What is the expected Kling 4.0 price per generation?

Developer playground listings price standard 720p output at roughly $0.157 per second and 1080p output at $0.235 per second. A single ten-second full HD clip costs around $2.35, which places it on the premium side of video models.

When will the Kling 4.0 API become available for third-party platforms?

The model debuted in developer playgrounds in October 2026, with third-party API integration scheduled to roll out soon after. Once the official endpoints go live, external platforms can connect their generation pipelines directly.

What are the main differences in Kling 4.0 vs Kling 3.0?

Kling 4.0 doubles the longest clip from 15 to 30 seconds, adds two-channel stereo audio and up to 15 mixed references, and focuses on steadier complex motion. Kling 3.0 still has the edge on resolution: it outputs up to 4K today, while Kling 4.0's 4K is still coming.

What is Kling 4.0 Flash and how does it compare?

Kling 4.0 Flash is a faster, cost-efficient variant designed for quick iterations in an AI video generator. It produces 720p clips up to 20 seconds long with lower latency and reduced compute overhead compared to the full base model.

How does Kling 4.0 reference to video work with multi-asset prompts?

It accepts up to 15 assets per task: up to 10 images, up to 5 video clips totalling 30 seconds, up to 7 elements and up to 3 voices. It uses them to keep characters, objects, motion and voices consistent in the new clip.

How does Kling 4.0 image to video animate still pictures?

Creators upload a starting photo, provide an optional end frame, and describe the desired motion using text prompts. The model interprets physical depth to create fluid camera pans, realistic subject movement, and natural lighting shifts.

Can Kling AI do 4K resolution exports today?

Current releases render natively at 720p and 1080p resolution. While Kuaishou announced 4K rendering with 10-bit HDR support as an upcoming upgrade, true 4K output is not yet active on standard release endpoints.

What audio capabilities does Kling 4.0 include natively?

The architecture generates synchronized two-channel stereo audio alongside the visual frames. It produces realistic background ambiance, sound effects, and multilingual spoken dialogue with matched lip movements across English, Spanish, Chinese, French, and other languages.

What are the limitations of Kling AI?

Single generations top out at 30 seconds, and fine details like fast-moving hands or small background text can still glitch. In addition, the intensive compute requirements mean per-second generation costs remain relatively high.

How can creators access Kling models in OnVid's tool?

You can generate with Kling 3.0 and Kling 2.5 Turbo in OnVid's AI video generator today using your plan credits. OnVid plans to add Kling 4.0 once the developer API opens to third-party tools.

Can I use Kling 4.0 videos commercially?

fal lists the Kling 4.0 endpoints for commercial use. Check the terms of the service you generate on; for videos made on OnVid, see the OnVid Terms of Service.

Ready to direct your next AI video with cinematic control?

Create cinematic AI videos on OnVid today, free to start after you sign up. Kling 4.0 is added once its API opens.

No credit card · Free to start