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ChatGPT Enterprise vs Dify: Complete Comparison (2026)

An in-depth comparison of ChatGPT Enterprise and Dify to help you choose the right tool for your business.

Last updated: November 2026

C

ChatGPT Enterprise

7.3/10

OpenAI's top workplace tier of ChatGPT, adding agentic work, coding, company knowledge search, and enterprise security and governance controls for large organizations.

Dify logo

Dify

7.3/10

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

Feature-by-Feature Comparison

Feature
C
ChatGPT Enterprise
Dify logo
Dify
Scores
Overall Rating7.3/107.3/10
Integration8/107/10
Analytics7/106/10
Customization7/109/10
Ease of Use8/107/10
Support7/106/10
Cost3/108/10
Scalability9/106/10
Security9/108/10
Output Quality9/107/10
Pricing
Free planNoYes
Cheapest paid planContact for pricing$59/mo
Professional
Estimated cost for 10 usersContact for pricing$159/mo
Team
Features
Image GenerationNot listed
AI Agents
Chatbots
Voice and AudioNot listed
Knowledge Base Search
Data AnalysisNot listed
API Access
Workflow Automation
Text Generation
Enterprise Controls
Code GenerationNot listed
Private DeploymentNot listed

Which One Should You Choose?

C
Why choose ChatGPT Enterprise

  • Higher Scalability score (9/10 vs 6/10)
  • Higher Output Quality score (9/10 vs 7/10)

Dify logo
Why choose Dify

  • Has a free plan (ChatGPT Enterprise does not)
  • Higher Cost score (8/10 vs 3/10)
  • Higher Customization score (9/10 vs 7/10)
  • Better fit for startups (9/10 vs 2/10)
  • Better fit for small business (6/10 vs 2/10)

Pros & Cons

C
ChatGPT Enterprise

Pros

  • The enterprise governance set goes well beyond the Business plan, including SCIM, custom RBAC, customer-managed encryption keys on AWS, GCP, or Azure, and a compliance logs API.
  • Data residency across multiple regions and HIPAA BAA eligibility make the plan usable in regulated industries.
  • One seat bundles chat, deep research, image generation, voice, the ChatGPT Work agent, and Codex, so teams don't need separate AI tools for each task.
  • Admins can set monthly per-user credit limits, overage caps, and alerts to govern agent and Codex spending.
  • Connectors for Microsoft 365, Google Drive, Slack, and GitHub let company knowledge search answer questions from internal data.

Cons

  • There is no public pricing. Per-seat figures come only from third-party estimates, and contracts are negotiated case by case.
  • Usage-based charges for Work and Codex, with multipliers for long context, fast mode, and regional processing, make total cost hard to predict.
  • The reported 150-seat minimum and annual commitment exclude smaller teams.
  • Compliance logs for Work keep prompts for only 30 days and are not a full audit trail of tool calls, so a separate SIEM export is needed for longer retention.
  • PeerSpot reviewers report context limits on very long documents and want finer per-team control over tone and response constraints.

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.

Not sold on either?

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