Make vs n8n
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Make if you want visual automation platform that added reasoning ai agents to workflows (Supervised agent, freemium); choose n8n if you want fair-code workflow automation with built-in ai agent nodes, self-hostable (Supervised agent, freemium).
| Make | n8n | |
|---|---|---|
| What it is | Visual automation platform that added reasoning AI agents to workflows | Fair-code workflow automation with built-in AI agent nodes, self-hostable |
| Type | product-with-agents | platform |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | freemium · Free tier (1,000 credits/mo); Core from $12/mo (annual) | freemium · Self-hosted free; Cloud Starter EUR 20/mo |
| Best for | smb, mid-market, enterprise, developers | developers, smb, mid-market, enterprise |
| Deployment | saas, api | saas, self-hosted, on-prem, api |
| Modalities | text, api | text, code, api, email |
| Models | model-agnostic, gpt, claude | model-agnostic, gpt, claude, open-source |
| Protocols | mcp, rest-api, function-calling | mcp, function-calling, rest-api |
| Integrations | Slack, Google Workspace, OpenAI, Anthropic, HubSpot, Salesforce | OpenAI, Anthropic, Slack, Google Sheets, Postgres, HTTP/REST |
| Capabilities | 4 documented | 4 documented |
Make
- +Mature visual builder with thousands of app integrations, now extended with reasoning AI Agents
- +AI Agents are built no-code in the same canvas and can be reused across workflows with attached tools and knowledge
- +Credit-based pricing with a free tier makes entry cheap; MCP support for extending tool access
- -Classic scenarios are deterministic, not agents; only the newer AI Agent module reasons and decides
- -Credit-based metering can get hard to predict as agent and scenario usage scales
n8n
- +Genuinely flexible: visual no-code builder plus inline JavaScript/Python and HTTP-to-any-API
- +Self-hostable community edition is free with unlimited executions, giving full data control
- +Strong native AI: agent nodes, MCP support, model-agnostic LLM connections built into workflows
- -Not truly open source: the Sustainable Use License restricts commercial use such as reselling n8n as a service
- -Execution-based cloud pricing can balloon for high-frequency workflows
Which should you choose?
Make is visual automation platform that added reasoning ai agents to workflows, best for smb, mid-market, enterprise, developers. n8n is fair-code workflow automation with built-in ai agent nodes, self-hostable, best for developers, smb, mid-market, enterprise. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.
This comparison is generated from the sourced Make and n8n profiles. Open either profile to review its evidence and last-reviewed date.