Pick FastGPT if
chinese/English teams who will self-host a knowledge assistant and already have a model key.
Read the FastGPT pageFastGPT vs Langflow
Our take
Pick FastGPT if chinese/English teams who will self-host a knowledge assistant and already have a model key. Pick Langflow if developers and applied-AI teams who want a visual LangChain-style graph they can still edit as Python. Skip FastGPT if people who want an English-only hosted studio with a printed card (Dify) or a simple local chat (Open WebUI). Skip Langflow if non-technical ops teams that need Slack/HubSpot
Best for
FastGPT Draw a knowledge workflow and publish a channel
Langflow Prototyping an agent
Free plan
FastGPT $0 · apache-2.0 with additional conditions. You bring the model key and a database
Langflow $0 · no license fee (MIT). You run uv pip install langflow or Docker. You pay your own LLM/provider bills
Lowest paid
FastGPT Not published by the vendor
Langflow Not published by the vendor
Coding agent
FastGPT
Langflow Visual agent canvas
Runs where
FastGPT Local or hosted
Langflow Local; you host it
Watch out
FastGPT $0 is the software, not the LLM
Langflow You bring the model key
Last checked
FastGPT 2026-10-21 · github.com/labring/FastGPT
Langflow 2026-10-19 · docs.langflow.org/get-started-installation
Which one, then?
Pick Langflow if
developers and applied-AI teams who want a visual LangChain-style graph they can still edit as Python.
Read the Langflow page