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Flowise Cloud subscription

FlowiseAI

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Plans

Starter

  • Unlimited flows and assistants
  • 10,000 predictions per month
  • 1 GB of storage for files and data
  • Evaluations and metrics, plus custom branding of the embedded chat widget
  • Model keys are yours: usage at OpenAI, Anthropic, Google and other providers is billed separately from the subscription
  • Community support

Pro

  • Everything in Starter plus 50,000 predictions per month
  • 10 GB of storage
  • Unlimited workspaces
  • Admin roles and permissions for the team
  • Five users included, with extra users purchased separately
  • Priority support
  • Models are still paid directly to the providers with your own keys — the subscription does not cover them

Enterprise

  • Deployment in the cloud or on your own servers (on-prem)
  • Horizontal scaling with a message queue and workers
  • A choice of over a hundred models, embeddings and vector databases
  • Infrastructure and support agreed with the vendor for your specific use case
  • Model and vector database spend stays on your own keys and provider invoices

Plan contents as published by the vendor; seller prices arrive at launch.

What you get

A Flowise Cloud subscription is issued to your own email, and that matters more than usual here: the workspace stores credentials — keys to models, vector databases and your own APIs. Ask about the plan: it sets the monthly prediction limit, the storage volume, the number of workspaces and users. And budget the second amount separately — the subscription pays for the platform, while model tokens are paid to the provider under your own key. The seller states the next charge date at delivery.

About the service

The vendor's cloud for the open-source Flowise builder: the same visual workbench, without running a server or applying updates by hand. It offers three levels of assembly — a simple Assistant with instructions and files for RAG, Chatflow for a single agent and chat logic, and Agentflow for multi-agent systems with branching, loops and routing. A finished flow is exposed as an API, an SDK or an embeddable chat widget, with run tracing, metrics, evaluations and human-in-the-loop pauses alongside. The money part matters: the subscription pays for the platform and its run allowance, while models are connected with your own keys — nodes such as ChatOpenAI, ChatAnthropic, Google, Mistral, Groq, Cohere, AWS Bedrock or IBM watsonx each need their own credential, so the token bill arrives from the provider separately, as does any paid vector database.

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