Kling AI: Next-Gen AI Video & AI Image Generator

What is Kling API concurrency?

Kling API concurrency refers to the maximum number of generation tasks that an account can process in parallel at any given time. This capability is determined by the resource package. A higher concurrency level allows you to submit more API generation requests simultaneously (each call to the task creation interface initiates a new generation task).

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Notes

This only applies to the task creation interface; query interfaces do not consume concurrency.
This limitation concerns the number of concurrent tasks and is unrelated to Queries Per Second(QPS)— the system imposes no QPS limit.

Core Rules

Dimension	Rule Description
Application Scope	Applied at the account level. Calculated independently per resource pack type (video/image/virtual try-on). All API keys under the same account share the same concurrency quota.
Occupancy Logic	A task occupies concurrency from entering submitted status until completion (including failures). Released immediately after task ends.
Quota Calculation	Determined by the highest concurrency value among all active resource packages of the same type. Example: If a 5-concurrency + 10-concurrency video package are both active → video concurrency capacity = 10

Dimension

Rule Description

Application Scope

Applied at the account level. Calculated independently per resource pack type (video/image/virtual try-on). All API keys under the same account share the same concurrency quota.

Occupancy Logic

A task occupies concurrency from entering submitted status until completion (including failures). Released immediately after task ends.

Quota Calculation

Determined by the highest concurrency value among all active resource packages of the same type. Example: If a 5-concurrency + 10-concurrency video package are both active → video concurrency capacity = 10

Special Notes

Video / Virtual Try-on tasks: Each task occupies 1 concurrency.

Image generation tasks: Concurrency used = the n value in the API request parameter. (Example: n = 9 → occupies 9 concurrency)

Recommended Approach

Since this error is triggered by system load (not by parameter issues), it is recommended to:

Backoff Retry Strategy: Use an exponential backoff algorithm to delay retries (recommended initial delay ≥ 1 second).

Queue Management: Control the submission rate through a task queue and dynamically adapt to available concurrency.

Models Available in This Release

Kling 3.0 Motion Control, Kling Video 3.0, Kling Video 3.0 Omni, Kling Image 3.0, Kling Image 3.0 Omni

Refer to <Kling AI Series 3.0 Model API Specification>

Key Highlights of the Models
3.0 All-in-One: A unified model for multi-modal input and output.
- Most powerful consistency across the universe: Subject consistency (supports cameo, subject with voice control, i2v + subject) and text consistency.
- Narrative control at your fingertips: More freedom, precision, and control—up to 15 seconds long, video scene cuts, ultra-high-definition storyboards/images, custom seconds.
- Upgraded native audio-visual output: Supports multiple speakers and languages (with accents).
Kling 3.0 Motion Control
- Consistent Facial Identity from any angle
- Complex Emotions faithfully reproduced
- High fidelity Restoration, Even with Face Occlusions
- Consistent Facial Clarity Across Dynamic Framing
User Guide ->
Kling Video 3.0
Compared to 2.6, expected improvements:
- Supports subject upload in I2V scenarios for enhanced consistency
- Significant improvement in multi-character referencing, especially for three-person scenarios
- Supports Japanese, Korean, and Spanish in addition to Chinese and English
- Capable of generating certain dialects and accents
- Better distinction and control over different types of audio (speech, sound effects, BGM)
- Improved text retention in I2V scenarios
- Supports scene transitions, with up to 6 shots and customizable storyboarding
User Guide ->
Kling Video 3.0 Omni
Compared to O1, expected improvements:
- Native audio-visual synchronization
- Supports video subject creation
- Further improved consistency in reference-based tasks, especially for characters and products
- Combined capabilities of reference + storyboarding + audio-visual sync significantly enhance usability
- Supports scene transitions, with up to 6 shots
- Extended generation duration up to 15 seconds
User Guide ->
Kling Image 3.0
- Highly consistent feature retention
- Precise response to detail modifications
- Accurate control over style and tone
- Rich imaginative capabilities
User Guide ->
Kling Image 3.0 Omni
- Enhanced narrative sense
- New storyboard image set generation, retaining reference image features with scene relevance
- Direct output of 2K/4K ultra-high-definition images
- Further improved detail consistency
User Guide ->

Thank you for your support and understanding!

Concurrency Rules

What is Kling API concurrency?

Core Rules

Over-limit Error Mechanism

Recommended Approach