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
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
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 | |
|---|---|---|
| Scores | ||
| Overall Rating | 7.3/10 | 7.3/10 |
| Integration | 8/10 | 7/10 |
| Analytics | 7/10 | 6/10 |
| Customization | 7/10 | 9/10 |
| Ease of Use | 8/10 | 7/10 |
| Support | 7/10 | 6/10 |
| Cost | 3/10 | 8/10 |
| Scalability | 9/10 | 6/10 |
| Security | 9/10 | 8/10 |
| Output Quality | 9/10 | 7/10 |
| Pricing | ||
| Free plan | No | Yes |
| Cheapest paid plan | Contact for pricing | $59/mo Professional |
| Estimated cost for 10 users | Contact for pricing | $159/mo Team |
| Features | ||
| AI Agents | ||
| API Access | ||
| Chatbots | ||
| Enterprise Controls | ||
| Knowledge Base Search | ||
| Text Generation | ||
| Workflow Automation | ||
| Code Generation | Not listed | |
| Data Analysis | Not listed | |
| Image Generation | Not listed | |
| Private Deployment | Not listed | |
| Voice and Audio | Not listed | |
ChatGPT Enterprise vs Dify cost by team size
| Team size | ChatGPT Enterprise | Dify |
|---|---|---|
| 1 user | Contact for pricing | FreeSandbox |
| 5 users | Contact for pricing | $159/moTeam |
| 10 users | Contact for pricing | $159/moTeam |
| 25 users | Contact for pricing | $159/moTeam |
| 50 users | Contact for pricing | $159/moTeam |
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?
CWhy choose ChatGPT Enterprise
- Higher Scalability score (9/10 vs 6/10)
- Higher Output Quality score (9/10 vs 7/10)
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
CChatGPT 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
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?
Frequently Asked Questions
ChatGPT Enterprise and Dify both score 7.3/10 on our AI Software criteria. The largest gap is in Cost: 3/10 for ChatGPT Enterprise and 8/10 for Dify.
Dify has a free plan; ChatGPT Enterprise does not list one.
Dify is the better fit for startups: we rate it 9/10 for them, against 2/10 for ChatGPT Enterprise.
