Pollo AI vs TongFlow

Pollo AI is a video-generation service from a maker headquartered in Singapore. It supports text-to-video and image-to-video generation, AI avatars, API access and commercial use. The listed maximum resolution is 4K, and the maximum video length is 0.5. Pollo AI offers a free plan at free, billed monthly, with limited free credits and watermarked output. Paid plans are also billed monthly. Lite costs $15 a month and includes 400 credits, two parallel tasks and no watermark. Pro costs $29 a month with 800 credits, three parallel tasks and no watermark. Ultra costs $129 a month for 5,000 credits, six parallel tasks, no watermark and faster generation speed. The listed platform is API, so the service can be considered where programmatic access is required. The tier structure centers on credit allowance, simultaneous task capacity, watermark removal and, at Ultra, generation speed. Commercial-use support is listed across the service.

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.