Comparison
Dify vs Make: which one to choose in 2026?
Dify and Make are two comparable tools. Here's the head-to-head, criterion by criterion, to choose based on your real-world use.
Detailed comparison
| Criterion |  Dify |  Make |
|---|---|---|
| Pricing model | Freemium | Freemium |
| Price | Free & open source · Cloud from $59/mo | Free · Core ~$9/mo · Pro ~$16 |
| Level | Pro | Pro |
| Verdict | Recommended | Recommended |
| Best for | Developers and technical teams who want to build LLM apps while keeping control. | Ops profiles who want complex automations and great value. |
| Categories | Code, Automation, Chatbots & assistants | Automation |
Each tool in brief
Strengths
- Open source, self-hostable (full control)
- Visual canvas: workflows, RAG, agents
- Compatible with hundreds of models (GPT, Llama, Mistral…)
- Everything exposed via API (backend-as-a-service)
Weaknesses
- Assumes understanding of RAG, agents and embeddings
- Self-hosting requires technical skills
- Less turnkey than a consumer assistant
Who is it for? Developers and technical teams who want to build LLM apps while keeping control.
Strengths
- Powerful, readable visual editor
- Advanced logic (conditions, loops, data)
- Often cheaper than Zapier at equal volume
- Generous free tier
Weaknesses
- More technical onboarding
- Fewer turnkey integrations than Zapier
- Can get complex on large scenarios
Who is it for? Ops profiles who want complex automations and great value.
Our verdict
No universal winner: it depends on your need. If you're after "Developers and technical teams who want to build LLM apps while keeping control.", Dify is the better pick. If it's more "Ops profiles who want complex automations and great value.", go with Make. Models move fast — check the latest versions and current pricing before deciding.
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