Head-to-head · facts checked 13 Sept 2026
Dify vs Make
Dify uniquely has 12 features.
From
$10.59/mo — Core
Free plan
Yes — Free plan with 1
The verdict
Dify or Make?
Section 01
Pricing, plan by plan
Every plan each vendor publishes, monthly and yearly where both are offered.
Dify
Sandbox
Free
200 message credits, 1 workspace, 1 team member
Community
Free
All core features, single workspace, open source
Professional
$59/mo · $590/yr
6000 message credits, 1 workspace, 2 team members
Team
$159/mo · $1590/yr
10000 message credits, 3 workspaces, 50 team members
Enterprise
Custom
Advanced security, compliance, dedicated support
Make
Core
$10.59/mo (up to $241.31/mo) · $108/yr (up to $2,185.96/yr)
10k credits/mo (up to 300,000 credits/mo); unlimited active scenarios, Make API access
Pro
$18.82/mo (up to $5,660.47/mo) · $192/yr (up to $57,736/yr)
10k credits/mo (up to 8 million credits/mo); priority execution, custom variables, full-text log search
Teams
$34.12/mo (up to $9,683.59/mo) · $348/yr (up to $98,772/yr)
10k credits/mo (up to 8 million credits/mo); teams and team roles, create and share scenario templates
Enterprise
Custom
Custom pricing; custom functions, enterprise app integrations, 24/7 support, overage protection
Section 02
Pros and cons
From each tool's full review, written from the same checked facts.
Dify
Pros
- Supports over 100 AI models including OpenAI, Anthropic Claude, Mistral, and local Llama models through a consistent visual interface.
- RAG pipeline support is built natively into the workflow builder, eliminating the need to bolt on document retrieval separately.
- Flexible deployment options including cloud, VPC, and fully self-hosted via Docker or Kubernetes with official support for all three.
- Visual Workflow Studio uses drag-and-drop nodes covering agents, RAG steps, and decision branches for rapid development.
- Strong open-source traction with 151K+ GitHub stars indicating active community and ongoing development momentum.
- Ideal for development teams who want to ship production-ready AI applications without rebuilding infrastructure from scratch.
- Data residency and enterprise security requirements are accommodated through self-hosting options, a rarity at this price point.
Cons
- The platform is genuinely difficult to categorize, suggesting an unclear or overly broad product identity that may confuse buyers.
- User base claims of 500K+ cannot be independently verified, raising questions about the reliability of vendor-provided metrics.
- The review was not based on hands-on workflow building, meaning real-world usability limitations may not be fully captured.
- Moving faster than competitors in a fast-moving space increases the risk of instability, incomplete features, or shifting roadmaps.
- As a platform founded in 2023, long-term enterprise reliability and support track record remain unproven.
- Complexity of supporting 100+ models and multiple deployment methods may lead to inconsistent or under-documented edge cases.
Make
Pros
- The visual canvas builder lets users construct complex multi-step automation workflows without writing a single line of code.
- Routers, iterators, and aggregators enable branching, conditional logic, and array processing that most competing tools cannot handle.
- Real-time data flow visualization allows users to watch data move through each module as a scenario runs, making debugging more intuitive.
- Generous free plan includes 1,000 operations per month and two active scenarios, with paid plans starting at just $10.59 per month.
- Supports over 500,000 users and is considered a category fixture, not a fringe alternative to mainstream automation tools.
- Handles genuinely complicated, non-linear workflow logic that goes far beyond what linear automation tools like Zapier can manage.
- Consistently described by G2 reviewers as the most powerful no-code automation tool they have ever used.
Cons
- Steep learning curve means new users need significant time investment before they can use the platform effectively.
- The complexity of the interface can be overwhelming for users who only need simple, linear automations.
- The free plan is limited to just two active scenarios, which may not be sufficient for users with multiple automation needs.
- The rebrand from Integromat to Make in 2022 may cause confusion for users researching or referencing older documentation and tutorials.
- Enterprise pricing is custom and undisclosed, making it difficult for larger teams to budget without contacting sales.
- The platform's power comes with a trade-off: the same features that enable advanced workflows add friction for straightforward use cases.
Side by side
| Company | ||
| Founded | 2023 | 2012 |
| HQ | San Francisco, USA | Prague, Czech Republic |
| AI model | Multi-model (OpenAI, Anthropic, Mistral, Llama, and 100+ others) | OpenAI GPT (via integration), proprietary orchestration |
| User base | 151K+ GitHub stars | 500K+ |
| Platforms | Cloud, Docker, Kubernetes, VPC | Web |
| Languages | 25+ | 25+ |
| Pricing | ||
| Pricing model | Freemium | Subscription |
| Free plan | Yes | Yes — Free plan with 1,000 operations/month and 2 active scenarios |
| Free trial | No | Yes — Free plan available indefinitely |
| Starting price | $59/mo | $10.59/mo — Core |
| Enterprise | Custom | Custom |
| All plans | Sandbox — Free Community — Free Professional — $59/mo Team — $159/mo Enterprise — Custom | Core — $10.59/mo (up to $241.31/mo) Pro — $18.82/mo (up to $5,660.47/mo) Teams — $34.12/mo (up to $9,683.59/mo) Enterprise — Custom |
| Positioning | ||
| Best for | Independent developers, small to medium teams, and enterprises building production AI apps | No-code/low-code automation builders, SMBs, agencies, and enterprises needing visual workflow automation |
| Differentiator | Three deployment modes: managed cloud, self-hosted enterprise with SSO/RBAC/ISO27001, and open-source community edition | Make's visual drag-and-drop scenario builder with advanced data mapping, iterators, and routers provides unmatched flexibility for complex multi-step automations without code. |
| Competitors | Flowise, LangChain, n8n, Botpress, Relevance AI | Zapier, n8n, Workato, Tray.io, Power Automate |
| Features | ||
| API Rate Limit Control | ✓ | — |
| Document Processing | ✓ | — |
| Full Agent Runtime + Workflow Editor | ✓ | — |
| Helm Chart for K8s Deployments | ✓ | — |
| Knowledge Base | ✓ | — |
| Publish As Web App or API | ✓ | — |
| SOC 2 Type Ii + Iso 27001 | ✓ | — |
| SSO (Enterprise) | ✓ | — |
| SSO / Saml & Rbac | ✓ | — |
| Single Command Docker Deploy | ✓ | — |
| Trigger Events | ✓ | — |
| Workflow Automation | ✓ | — |
| AI Agents | ✓ | ✓ |
| API Webhooks | ✓ | ✓ |
| Conditional Logic | ✓ | ✓ |
| Custom Code | ✓ | ✓ |
| Data Transform | ✓ | ✓ |
| Error Handling | ✓ | ✓ |
| Execution Logs | ✓ | ✓ |
| Human in Loop | ✓ | ✓ |
| Num Integrations | 100+ AI models plus plugin marketplace integrations | 3,000+ |
| Scheduled Runs | ✓ | ✓ |
| Team Features | ✓ | ✓ |
| Trigger Types | webhook / schedule / API / workflow trigger events / external app triggers | webhook / schedule / instant (real-time) / polling / email / RSS / watch |
| Visual Builder | ✓ | ✓ |
| Integrations | ||
| API Access | ✓ | ✓ |
| Google Workspace | ✓ | ✓ |
| Key Integrations | OpenAI, Anthropic Claude, Mistral, Llama (Meta), Azure OpenAI | OpenAI, Google Workspace, Slack, HubSpot, Airtable |
| Openai Integration | ✓ | ✓ |
| Slack | ✓ | ✓ |
| Webhook Support | ✓ | ✓ |
Section 03
Dify vs Make: common questions
Is Dify or Make cheaper?
Dify's cheapest paid plan is $59/mo and Make's is $10.59/mo — Core. Compare what each plan includes below before going on price alone.
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