Make vs Dify
Make: Visual automation for complex, multi-step workflows. Dify: Open-source platform for building AI apps, chatbots and agent workflows visually. Here is how they compare on features, pricing, platforms, pros and cons.
Quick verdict
Make
Best for: Operations teams with complex workflows.
Stands out for: Powerful visual builder; Good value for complex flows.
Dify
Best for: Developers and technical teams building internal AI apps.
Stands out for: Open source and self-hostable; Large active community.
Side-by-side comparison
| Visit make.com (opens in a new tab) | Visit dify.ai (opens in a new tab) | |
|---|---|---|
| What it is | Visual automation for complex, multi-step workflows. | Open-source platform for building AI apps, chatbots and agent workflows visually. |
| Pricing | Free + Paid | Open sourceSelf-host free; paid cloud plans available |
| Free to use | Yes | Yes |
| Category | AI Agents & Automation | AI Agents & Automation |
| Editor rank | #4 in category | #10 in category |
| Made by | Make (Celonis) | LangGenius |
| Best for | Operations teams with complex workflows. | Developers and technical teams building internal AI apps. |
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Make vs Dify: questions
Is Make better than Dify?
Neither wins for everyone. Our editors rank Make slightly higher overall in AI Agents & Automation, but Dify can be the better fit: Developers and technical teams building internal AI apps.
Which is free, Make or Dify?
Both can be used without paying: Make is free + paid and Dify is open source. Paid plans add more usage or features.
Can I use Make and Dify together?
Yes. Many people keep both and pick per task, for example automate multi-step business processes with Make, and build a chatbot that answers from company docs with Dify.