The Kling 3.0 series models API is now fully available Learn More Get Started Overview Quick Start Changelog API Reference General Info Rate Limits Callback Schema Video Generation Models Video Omni Text to Video Image to Video Reference to Video Motion Control Multi-elements to video Extend Video Lip Sync Avatar Text to Audio Video to Audio Text to Speech Voice Clone Image Recognize Element Effects Effect Templates NEW Video Effects Image Generation Models Image Omni Image Generation Reference to Image Extend Image AI Multi-Shot Virtual Try-On Others Query user info Pricing Billing Info Prepaid Resource Packs Protocols Privacy Policy of API Service Terms of API Service API Service Level Agreement Concurrency Rules 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). šŸ’” 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)ā€” 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 ā†’ 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 ā†’ occupies 9 concurrency) Over-limit Error Mechanism When the number of running tasks reaches the concurrency limit, submitting a request will return an error. JSON Copy Collapse { "code": 1303, "message": "parallel task over resource pack limit", "request_id": "9984d27b-a408-4073-ae28-17ca6a13622d" //uuid } 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 ā‰„ 1 second). Queue Management: Control the submission rate through a task queue and dynamically adapt to available concurrency. Previous chapterļ¼šGeneral Info Next chapterļ¼šCallback Schema What is Kling API concurrency? Core Rules Over-limit Error Mechanism Recommended Approach The Kling 3.0 Series Models API is Now Fully Available ā€“ All in One, One for Allļ¼ 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 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 controlā€”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! 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