Kling AI vs TongFlow

Kling AI generates videos from text prompts or images and also offers AI avatars. Its listed platform is an API, with API access and commercial use supported. Video outputs can run up to 15 seconds and reach 4K resolution. The free Basic plan costs nothing, billed free forever, and includes 30 element creations with no monthly credits. Standard costs $10 a month and includes 660 credits and 50 element creations. Pro costs $37 a month with 3,000 credits and 150 element creations. Premier costs $92 a month with 8,000 credits and 150 element creations. Ultra costs $180 a month with 26,000 credits and 500 element creations. The listed monthly prices may display introductory discounts. Kling AI is made by a company headquartered in Singapore. The plan structure centers on monthly credit allocations and element-creation limits, while the free tier specifies creations but no monthly credits.

TongFlow is an open-source tool for building multimodal AI workflows on a visual canvas. Workflows can add, transform, combine, split and batch text, images, audio, video, 3D and documents, with compatible models switchable without rebuilding the workflow. Listed capabilities include text-to-video, image-to-video and AI avatars, and commercial use is supported. Users can self-host or use TongFlow Cloud through a browser or desktop app for macOS and Windows; the desktop app opens the cloud workspace and requires an internet connection. Running a workflow depends on compatible plugins and credentials for the selected providers. Self-Host is free forever. TongFlow Cloud costs $2.99 a month and includes managed hosting, per-user data isolation and encrypted credentials. New cloud accounts receive seven days without a card; eligible first-time subscribers can then start a separate seven-day trial that requires a card. Model API and GPU compute charges are billed separately by connected providers, and TongFlow does not sell generation credits. Self-hosted workflows and materials are stored locally, with no telemetry to project authors according to the privacy policy.