Dust AI vs Coze

Detailed side-by-side comparison to help you choose the right tool

Dust AI

🟢No Code

AI Tools for Business

Dust AI: Enterprise AI agent platform for building custom assistants connected to company data sources like Slack, Notion, Google Drive, and GitHub with SOC 2 Type II compliance.

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Coze

🟡Low Code

AI Tools for Business

Coze: ByteDance's AI agent platform for building and deploying chatbots and agents with built-in plugins, workflows, and multi-platform publishing.

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Starting Price

Free

Feature Comparison

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FeatureDust AICoze
CategoryAI Tools for BusinessAI Tools for Business
Pricing Plans4 tiers8 tiers
Starting PriceContactFree
Key Features
  • Custom AI agent builder with no-code interface
  • Native data connections to Slack, Notion, Google Drive, GitHub, Confluence, Intercom, Zendesk
  • SOC 2 Type II compliance and GDPR compliance
  • Visual Workflow Builder
  • Plugin Ecosystem (60+ built-in)
  • Knowledge Base Management with RAG

Dust AI - Pros & Cons

Pros

  • Best-in-class data connectors — Slack, Notion, Google Drive, GitHub, Confluence, Intercom, and Zendesk sync automatically without custom ETL work
  • Zero-data-retention policy backed by audited SOC 2 Type II and GDPR compliance addresses real enterprise security review concerns
  • Agents deploy where teams already work via native Slack, Chrome Extension, Zendesk, API, Zapier, and Google Sheets integrations
  • No-code agent builder lets non-technical team leads create department-specific agents (sales, support, engineering) without engineering tickets
  • Multi-model routing across GPT-4o, Claude, Gemini, and Mistral keeps inference costs reasonable while reserving premium models for complex tasks
  • Proven enterprise readiness with SOC 2 Type II certification and Stripe-alumni leadership team

Cons

  • €29/user/month adds up quickly — a 50-person org pays €1,450/month before Enterprise features, and that excludes setup overhead
  • Fair-use message limits on the Pro plan are vaguely defined, so heavy users may hit throttling without clear published thresholds
  • Less flexible than code-first frameworks like LangChain or CrewAI for teams wanting custom retrieval logic, fine-tuned models, or complex multi-step orchestration
  • 1GB/user data source storage on Pro can be insufficient for document-heavy organizations with large Drive or Notion footprints
  • Enterprise tier requires a 100+ user minimum, leaving mid-market teams of 20–99 in an awkward gap between Pro and Enterprise pricing

Coze - Pros & Cons

Pros

  • Generous free tier covers agent building, basic plugins, and limited deployments — Premium starts at just $9/month
  • Visual workflow editor supports branching, loops, sub-workflows, and code blocks (not just simple chatbot trees)
  • 60+ built-in plugins plus custom plugin creation via API specs, with auth and rate limiting handled automatically
  • One-click publishing to 8+ channels including Discord, Telegram, Slack, Messenger, LINE, Lark, websites, and mobile apps
  • Open-source components (Coze Studio, Coze Loop) released in 2024 enable fully self-hosted deployments
  • Supports multiple LLM backends including GPT-4o, Claude 4.5 Sonnet, and ByteDance's Doubao models in one platform

Cons

  • Free tier was dramatically reduced from launch-era generosity to tighter daily message limits
  • Enterprise pricing is not publicly listed — costs require contacting sales for a custom quote
  • ByteDance ownership raises data sovereignty and regulatory concerns for some US and EU organizations
  • No native MCP (Model Context Protocol) support — uses proprietary plugin system that doesn't port to other platforms
  • Workflow paradigm has a ceiling — complex agents eventually want full programming flexibility you can't get inside the canvas

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