Coze vs Flowise
Side-by-side comparison to help you choose the best tool.
Coze
freemiumCoze (by ByteDance) is a no-code AI bot development platform that enables users to build and publish AI chatbots with knowledge bases, plugins, and workflows - deployable to Telegram, Discord, LINE, and other channels. With a visual workflow builder and a library of pre-built plugins for real-time data, Coze democratises AI agent development for non-developers and is one of the fastest-growing AI bot platforms.
Flowise
freeFlowise is an open-source, low-code tool for building LLM-powered applications visually. Similar to Langflow, it provides a drag-and-drop interface for composing LangChain and LlamaIndex components into chains, agents, and chatbots. With an embedded chatbot widget, API endpoints, and broad model support, Flowise lets developers go from idea to deployed AI application in minutes.
| Feature | Coze | Flowise |
|---|---|---|
| Pricing | freemium | free |
| Category | - | - |
| Rating | 4.3 | 4.4 |
| Best For | Non-developers wanting to build and deploy AI chatbots with knowledge bases across Telegram, Discord, and other channels without code | Developers and indie builders who want to build and deploy LLM applications and chatbots with no code, for free |
| Views | 6 | 5 |
Pros
- No coding required to build capable AI bots
- Multi-channel deployment in one click
- Rich plugin library for real-time data
Cons
- ByteDance ownership raises data privacy concerns for some
- Less suitable for complex enterprise deployments
Pros
- Completely free and open-source
- Easiest path from concept to deployed AI chatbot
- Large library of pre-built nodes
Cons
- Less polished than commercial alternatives
- Community support only on free tier
- No-code AI bot builder
- Knowledge base integration
- Plugin marketplace
- Multi-channel deployment (Telegram, Discord, etc)
- Workflow visual editor
- Drag-and-drop LLM app builder
- LangChain & LlamaIndex node library
- Embeddable chatbot widget
- REST API & Embed SDK
- Self-hostable with Docker