Wan 3.0 vs Kling 3.0 Turbo

Wan 3.0 and Kling 3.0 Turbo side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.

Alibaba Cloud Kling AI Video Generation

Wan 3.0 vs Kling 3.0 Turbo at a glance

Wan 3.0 from Alibaba Cloud and Kling 3.0 Turbo from Kling AI are both in the Video Generation category, available through the EmpirioLabs API.

Key differences

  • Wan 3.0 is the newer release (Aug 6, 2026); Kling 3.0 Turbo was released on Jun 17, 2026.
  • Input types only Wan 3.0 accepts: Audio, Video.
  • Capabilities listed only for Wan 3.0: reference to video, audio sync, character consistency.
  • Capabilities listed only for Kling 3.0 Turbo: audio, video generation.

Wan 3.0 vs Kling 3.0 Turbo: specs

SpecWan 3.0Kling 3.0 Turbo
Model IDwan-3-0kling-3-0-turbo
AuthorAlibaba CloudKling AI
ReleasedAug 6, 2026Jun 17, 2026
Input
Text Image Video Audio
Text Image
Output
Video
Video
RegionSingapore-
Endpoints
POST /v1/videos/generations
POST /v1/videos/generations
Capabilities
text to video image to video reference to video audio sync character consistency
text to video image to video audio video generation

Wan 3.0 vs Kling 3.0 Turbo: API pricing

Live rates from the EmpirioLabs catalog for both models. Each rate card always matches what the API charges.

Wan 3.0 vs Kling 3.0 Turbo: API parameters

Request parameters each model lists on EmpirioLabs, with the allowed values or range where one applies. A dash marks a parameter the model does not list.

ParameterWan 3.0Kling 3.0 Turbo
promptstringstring
model_tierstandard, prime Default: standard-
modeauto, t2v, i2v, r2v Default: auto-
resolution480p, 720p, 1080p Default: 1080p720p, 1080p Default: 720p
duration2 to 30 Default: 53 to 15 Default: 5
aspect_ratioadaptive, 16:9, 9:16, 1:1, 4:3, 3:4 Default: adaptive16:9, 9:16, 1:1 Default: 16:9
imagestringstring
videostring-
seed0 to 2147483647-
audioboolean Default: true-
watermarkboolean Default: falseboolean Default: false
prompt_extendboolean Default: true-
linkstring-
file_urlstring-

Wan 3.0 vs Kling 3.0 Turbo: limits and notes

Wan 3.0

Generation can take several minutes on the standard tier; the prime tier is significantly faster end to end. Modes are auto-detected from attachments, or override with the mode parameter. The model_tier parameter picks standard or prime; each tier bills at its own per-second rate.

Modes

  • T2V: no attachments
  • I2V: 1 image (first frame), or exactly 2 images (first + last frame)
  • R2V (omni reference): up to 10 images, 5 videos (15s combined), and 5 audio clips (15s combined), plus 1 document file or 1 public web link; address them in your prompt as Image 1, Video 1, Audio 1
  • I2V frames and R2V references cannot be combined in one request

Inputs

  • Images: JPEG, PNG, BMP, or WEBP, 240 to 8,000 px per side, up to 20 MB
  • Videos: MP4 or MOV, 1-15s per clip, up to 100 MB
  • Audio: WAV or MP3, 1-15s per clip, up to 15 MB

Duration and billing

  • Clips run 2-30 seconds; pass duration: -1 to let the model choose the length
  • With video references, input plus output share the 30-second budget, and billed seconds cover input + output combined
  • Output is MP4 at 30 fps with native audio; audio: false disables sound without changing the price

Uploaded media preprocessing

  • Reference videos are normalized to provider-compatible MP4 when needed.

Kling 3.0 Turbo

Text-to-video and image-to-video with synchronized native audio, up to 1080p. Workflow auto-detected: a prompt alone is text-to-video, adding a source image is image-to-video.

Prompting

  • There is no separate negative prompt. To steer away from unwanted elements, describe them in your prompt, for example: "a calm forest at dawn, avoid blurry motion, no on-screen text".

Multi-shot

  • Generate up to 6 sequential shots by formatting the prompt like this (shot durations must sum to the total duration):
shot 1, <seconds>, <description>; shot 2, <seconds>, <description>;

Input limits

  • Prompt up to 3,072 characters. Resolution 720p or 1080p. Duration 3 to 15 seconds. Aspect ratio 16:9, 9:16, or 1:1 for text-to-video (image-to-video follows the source image).
  • Image inputs: JPEG or PNG, at least 300px per side, aspect within 1:2.5 to 2.5:1, up to 50 MB.

How to call Wan 3.0 and Kling 3.0 Turbo

Wan 3.0 runs through POST /v1/videos/generations. The request returns a job_id right away; poll GET /v1/jobs/{job_id} until the job completes and read the output URLs from the result. Both models are called through the same endpoint. Set model to wan-3-0 or kling-3-0-turbo. Get an API key from the EmpirioLabs dashboard.

cURL: submit the job
curl https://api.empiriolabs.ai/v1/videos/generations \
  -H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "wan-3-0",
    "prompt": "Describe what you want Wan 3.0 to generate."
  }'

Wan 3.0 vs Kling 3.0 Turbo: tests and guides

Prompt tests and comparison runs that cover both models.

Wan 3.0 vs Kling 3.0 Turbo: common questions

What is the difference between Wan 3.0 and Kling 3.0 Turbo?

Wan 3.0 is the newer release (Aug 6, 2026); Kling 3.0 Turbo was released on Jun 17, 2026. Input types only Wan 3.0 accepts: Audio, Video. Capabilities listed only for Wan 3.0: reference to video, audio sync, character consistency. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.

Which is newer, Wan 3.0 or Kling 3.0 Turbo?

Wan 3.0 is the newer release (Aug 6, 2026); Kling 3.0 Turbo was released on Jun 17, 2026.

Which has the lower rate, Wan 3.0 or Kling 3.0 Turbo?

The two models are priced on different units or tiers, so compare the live rate cards on this page. They always match what the API charges.

Can I switch between Wan 3.0 and Kling 3.0 Turbo without rebuilding my integration?

Yes. Both models use POST /v1/videos/generations with the same EmpirioLabs API key, so most integrations switch by changing the model value. Check the parameters table on this page first if you rely on a model-specific parameter.

Can I try Wan 3.0 and Kling 3.0 Turbo in the browser before integrating?

Yes. Open each model in the EmpirioLabs playground and run the same prompt on both, with the parameters the API exposes.

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