Productivity · Head-to-head
Zapier vs n8n
Zapier (freemium, AI Score 8.4/10) vs n8n (freemium, AI Score 8.7/10). Side-by-side pricing, features, pros and cons, and which to pick.
The verdict
Pick Zapier if…
- →your primary use case is operations and revops teams at small-to-mid companies who need dozens of saas apps wired together reliably and have no engineers to build or maintain the integrations themselves.
- →you need: marketing
Pick n8n if…
- →your primary use case is developer-adjacent ops and engineering teams who want ai agents and internal integrations running on infrastructure they control, with server costs instead of a per-task meter.
- →you need: development
Side-by-side specs
| Spec | Zapier | n8n |
|---|---|---|
| Category | Productivity | Productivity |
| Pricing model | freemium | freemium |
| Headline pricing | Free tier + paid plans from about $20/mo, metered by task volume | Free self-hosted + Cloud from ~$20/mo |
| Free tier | 100 tasks per month with two-step Zaps, plus limited free allowances on Agents, Chatbots, Tables and Interfaces. Zapier meters AI agent usage separately from Zap tasks — check zapier.com/pricing for current tier limits and prices before committing. | Community edition is free and self-hosted with unlimited workflows and executions; you pay only for the server. Cloud plans have a time-limited trial. Cloud tier prices and execution allowances change periodically — check n8n.io/pricing before quoting them. |
| AI Score | 8.4/10 | 8.7/10 |
| Best for | Operations and RevOps teams at small-to-mid companies who need dozens of SaaS apps wired together reliably and have no engineers to build or maintain the integrations themselves. | Developer-adjacent ops and engineering teams who want AI agents and internal integrations running on infrastructure they control, with server costs instead of a per-task meter. |
| Editor's pick | — | — |
| Use cases | productivity agents marketing | productivity agents development |
| Date added | 2025-05-15 | 2025-08-01 |
Pros and cons
Zapier
Productivity · freemium
Pros
- ✓Integration catalogue no competitor matches, with authentication and breaking API changes maintained by Zapier rather than by your team
- ✓Zapier MCP turns that whole catalogue into tools any MCP-capable assistant can call, which is genuinely useful whether or not you build Zaps
- ✓Copilot produces working multi-step Zaps from a plain-English description, removing most of the setup friction for non-technical staff
- ✓Operationally boring in the good sense: retries, error handling, version history and audit trails that hobby-grade automation tools lack
- ✓Tables, Interfaces and Chatbots cover light internal-tool needs without signing up for a second vendor
Cons
- ×Task metering punishes exactly the agentic multi-step workflows Zapier now markets, since every step in a branching loop is billable
- ×AI Agents trail AI-native rivals like Lindy and Gumloop on autonomy and reasoning quality; they are competent, not leading
- ×n8n delivers comparable orchestration self-hosted for infrastructure cost only, which is hard to argue against at high volume
- ×Debugging a failed multi-step Zap is still slower than it should be, and error surfacing has not kept pace with how complex workflows have become
n8n
Productivity · freemium
Pros
- ✓Self-hosted community edition runs unlimited workflows and executions for infrastructure cost only, with no per-task meter
- ✓Model-agnostic AI nodes span OpenAI, Anthropic, Google, Mistral, Groq and xAI plus local models via Ollama, so an agent can run with zero external API calls
- ✓MCP support works both ways — consume external MCP servers as agent tools, or expose a workflow as an MCP server to outside assistants
- ✓Code node runs JavaScript or Python inline, so a missing connector is solvable rather than blocking
- ✓Large public template library and an unusually active community, which shortens the path from idea to working workflow
Cons
- ×Fair-code, not open source — the Sustainable Use License bars offering it as a service, and SSO, RBAC, environments and log streaming are gated behind the enterprise license
- ×Running it seriously means queue mode with Redis and worker containers; the one-container Docker demo does not survive real agent load
- ×Cloud plans meter by execution, and an agent that retries and branches burns through an allowance far faster than the old two-step automations those tiers were sized for
- ×Steeper than Zapier or Make for non-developers — expression syntax and n8n's item-array data model are where most newcomers get stuck
Related comparisons
Updated 2026-08-10. Spec data sourced from official product pages and tracked in our public directory at /tools.