Side-by-Side Comparison · 2026

Dify vs n8n AI: Full Comparison (2026)

Dify is open-source llm app development platform for building ai workflows and agents. n8n AI is open-source workflow automation platform with native ai agent capabilities. Use the breakdown below to find the right fit for your needs.

Dify

Dify.AI

Freemium
vs

n8n AI

n8n

Freemium
This page presents factual information sourced from publicly available vendor documentation and product pages. AIHub does not endorse either product. The right tool depends on your specific use case, team, and requirements — we recommend evaluating both tools directly before making a decision.

Side-by-Side Overview

Pricing Model
Dify: Freemiumn8n AI: Freemium
API Access
Dify: Availablen8n AI: Available
Platforms
Dify: Web (cloud), Self-hosted (Docker), Kubernetesn8n AI: Web (cloud), Docker (self-hosted), npm
Integrations
Dify: 9 integrationsn8n AI: 9 integrations
Vendor
Dify: Dify.AIn8n AI: n8n
Category
Dify: Developer Toolsn8n AI: Frameworks
Launch
Dify: Mar 2023n8n AI: Jun 2019 (platform); 2024 (AI native features)
Models
Dify: GPT-4o, Claude 3.5 Sonnetn8n AI: Any LLM via API (OpenAI, Anthropic, Groq, Ollama)

About Dify

Dify is an open-source platform for building LLM-powered applications, workflows, and agents without deep coding. It provides a visual workflow builder, RAG pipeline, agent orchestration, prompt management, and a model-agnostic backend that supports OpenAI, Anthropic, Llama, Azure, and dozens of other providers. It can be self-hosted or used as a cloud service.

Designed For

  • Building chatbots with RAG
  • LLM workflow automation
  • Agent orchestration
  • Prompt engineering & testing
Full Dify details

About n8n AI

n8n is a fair-code, open-source workflow automation platform that lets teams build complex AI agent workflows, data pipelines, and integrations with 400+ pre-built nodes. Its AI Agent node can orchestrate LLM calls, tool use, memory, and multi-step reasoning. Unlike Zapier, n8n can be self-hosted and has no per-task pricing.

Designed For

  • AI agent orchestration
  • Data pipeline automation
  • CRM workflows
  • Social media automation
Full n8n AI details

Strengths & Limitations

Dify

Strengths

  • Open-source with self-hosting option
  • Visual workflow builder
  • Model-agnostic (50+ providers)
  • Built-in RAG and vector store
  • Active community & fast iteration

Limitations

  • Can be complex for simple use cases
  • Cloud plan limits on free tier
  • Docs sometimes lag releases

n8n AI

Strengths

  • Self-hostable with fair-code license
  • 400+ integrations
  • AI Agent node built-in
  • No per-execution pricing (self-hosted)
  • Strong community

Limitations

  • Learning curve
  • Complex for beginners
  • Cloud version can be pricey
  • Fair-code not fully open

Frequently Asked Questions

What is the difference between Dify and n8n AI?

Dify is open-source llm app development platform for building ai workflows and agents, while n8n AI is open-source workflow automation platform with native ai agent capabilities. Dify is designed for Developers building LLM apps, Enterprises with custom AI needs; n8n AI is designed for Technical ops teams, AI developers. The right fit depends on your specific requirements.

How do the pricing models compare?

Dify is available under a Freemium model. n8n AI is available under a Freemium model. Dify's entry tier starts at $0. n8n AI's entry tier starts at $0. Always verify pricing on each vendor's official website as it may change.

What integrations does each tool support?

Dify integrates with OpenAI, Anthropic, Azure OpenAI, Hugging Face. n8n AI integrates with OpenAI, Anthropic, Slack, Notion. Check each vendor's documentation for the full and current list.

How do I choose between Dify and n8n AI?

Consider your team's technical requirements, budget, existing tooling, and use case before deciding. We recommend signing up for free trials or demos of both tools where available, and consulting each vendor's documentation. AIHub provides this comparison for informational purposes only.