Comparison
Dify vs Lindy: which one to choose in 2026?
Dify and Lindy are two comparable tools. Here's the head-to-head, criterion by criterion, to choose based on your real-world use.
Detailed comparison
| Criterion | ||
|---|---|---|
| Pricing model | Freemium | Freemium |
| Price | Free & open source · Cloud from $59/mo | Trial · Plus $49.99/mo · Pro $99.99 · Max $199.99 |
| Level | Pro | Pro |
| Verdict | Recommended | Recommended |
| Best for | Developers and technical teams who want to build LLM apps while keeping control. | Pros and teams who want to delegate routines (email, meetings, CRM) to AI agents. |
| Categories | Code, Automation, Chatbots & assistants | Automation, Productivity |
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
- Agents that automate office tasks
- Natural-language configuration
- Email, meetings, CRM integrations
- 'Smarter' than a plain workflow
Weaknesses
- Requires careful permission scoping
- Needs checking when starting out
- Cost scales with task volume
Who is it for? Pros and teams who want to delegate routines (email, meetings, CRM) to AI agents.
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 "Pros and teams who want to delegate routines (email, meetings, CRM) to AI agents.", go with Lindy. Models move fast — check the latest versions and current pricing before deciding.
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