Comparison
Dify vs Manus: which one to choose in 2026?
Dify and Manus 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 |  Manus |
|---|---|---|
| Pricing model | Freemium | Freemium |
| Price | Free & open source · Cloud from $59/mo | Free (credits) · from $20/mo |
| Level | Pro | Pro |
| Verdict | Recommended | Recommended |
| Best for | Developers and technical teams who want to build LLM apps while keeping control. | Those who want to delegate concrete tasks (research, compilation, reports) to an autonomous agent. |
| Categories | Code, Automation, Chatbots & assistants | Productivity, Automation, Chatbots & assistants |
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
- Runs multi-step tasks autonomously
- Excellent for research and compilation
- Delivers a real artifact, not just an answer
- Works in the background
Weaknesses
- Needs supervision and verification
- Can be costly in credits on long tasks
- Still young: occasionally uneven results
Who is it for? Those who want to delegate concrete tasks (research, compilation, reports) to an autonomous agent.
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 "Those who want to delegate concrete tasks (research, compilation, reports) to an autonomous agent.", go with Manus. Models move fast — check the latest versions and current pricing before deciding.
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