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Dify vs Dust Comparison

Compare Dify vs Dust features, pricing, and more.

Last updated: November 2026

Dify logo

Dify

7.3/10

Winner

Open-source platform for building LLM apps, agents, RAG knowledge pipelines and visual AI workflows, available as cloud SaaS or self-hosted.

Dust logo

Dust

6.9/10

Dust is a Paris-founded platform where companies build custom AI agents that work on their internal data across tools like Slack, Notion and GitHub.

Feature-by-Feature Comparison

Feature
Dify logo
Dify
Dust logo
Dust
Scores
Overall Rating7.3/106.9/10
Integration7/107/10
Analytics6/106/10
Customization9/108/10
Ease of Use7/107/10
Support6/106/10
Cost8/106/10
Scalability6/107/10
Security8/108/10
Output Quality7/107/10
Pricing
Free planYesYes
Cheapest paid plan$59/mo
Professional
€30/user/mo
Business - Pro seat
Estimated cost for 10 users$159/mo
Team
€300/mo
Business - Pro seat
Features
AI Agents
API Access
Chatbots
Enterprise Controls
Knowledge Base Search
Private Deployment
Text Generation
Workflow Automation

Dify vs Dust cost by team size

Team sizeDifyDust
1 userFreeSandbox€30/moBusiness - Pro seat
5 users$159/moTeam€150/moBusiness - Pro seat
10 users$159/moTeam€300/moBusiness - Pro seat
25 users$159/moTeam€750/moBusiness - Pro seat
50 users$159/moTeam€1,500/moBusiness - Pro seat

The plan that fits each team size, billed monthly, before add-ons and usage charges. Each cost opens that tool's pricing calculator for the team size.

Which One Should You Choose?

Dify logo
Why choose Dify

  • Higher Cost score (8/10 vs 6/10)
  • Higher Customization score (9/10 vs 8/10)
  • Better fit for developers (9/10 vs 5/10)
  • Better fit for startups (9/10 vs 7/10)

Dust logo
Why choose Dust

  • Higher Scalability score (7/10 vs 6/10)
  • Better fit for mid-market (9/10 vs 7/10)

Pros & Cons

Dify logo
Dify

Pros

  • The Community Edition is free to self-host with no license fees, so the only costs are infrastructure and model APIs.
  • The visual workflow builder lets a team build a RAG support workflow with human handoff in under an hour, according to one review.
  • Document ingestion, chunking, embedding and retrieval are handled in a single interface.
  • Teams can switch between many model providers per node, including local models via Ollama.
  • Apps can be published as web apps, embeds, APIs or MCP tools.

Cons

  • Self-hosting needs Docker or Kubernetes skills, and reviewers report scaling problems under heavy workloads.
  • Reviewers say Dify has fewer connectors than rivals such as LangFlow.
  • Multi-agent orchestration and built-in observability are basic.
  • Workflows have no built-in version control, and the canvas can lag on large flows.
  • Removing Dify branding from self-hosted apps requires a commercial license.

Dust logo
Dust

Pros

  • Model-agnostic: more than 20 models from OpenAI, Anthropic, Google, Mistral and DeepSeek, with none locked behind a higher plan.
  • Agents inherit permissions from connected sources, which reduces the risk of leaking data.
  • SOC 2 Type II and a choice of US or EU data residency, with single-tenant deployment on Enterprise.
  • G2 reviewers rate it highly, with 22 reviews averaging 4.9 out of 5, and say non-technical staff can build agents.
  • Monthly seats can be cancelled anytime, and seat types can be changed per user.

Cons

  • The Business plan is capped at 3 connectors, 5 MCP servers and 5 Spaces.
  • Agent answers are only as good as the structure and freshness of the connected data.
  • Its native integration catalogue is smaller than Microsoft Copilot's or Glean's, and some G2 reviewers ask for more integrations.
  • Credits that run out need admin-approved overage, and unused credits do not roll over.
  • Business customers get email support only.

Not sold on either?

Frequently Asked Questions

Dify scores higher on our AI Software criteria: 7.3/10 against 6.9/10 for Dust. The largest gap is in Cost: 8/10 for Dify and 6/10 for Dust.

Yes, both Dify and Dust have a free plan.

Dify is the better fit for developers: we rate it 9/10 for them, against 5/10 for Dust.

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