We migrate Zapier customers to n8n weekly. The breakeven is almost always around $200–300/month on Zapier — below that, the migration cost outweighs the savings; above it, n8n cuts the bill 5–20×. This post is everything else you should know before deciding.
n8n and Zapier are the two most-asked-about workflow automation platforms in 2026. They look similar — both wire SaaS apps together visually — but they're built for different operators. We build production automation for clients on both. The take below is what we actually recommend, not a rebrand of either company's comparison page.
Quick verdict
Pick Zapier when you have under 10k tasks per month and no engineering capacity — the catalog of 6,000+ integrations and the friendlier UI pay for the higher per-task cost. Pick n8n when you cross 10k tasks per month, when AI agent workflows enter the picture, when self-hosting is required for compliance, or when you have a developer who can read JavaScript. The break-even on cost lives around 10k tasks; the break-even on capability lives wherever code-level prompt control matters. The rest of this post is the table-by-table breakdown of why those two thresholds land where they do.
| Dimension | n8n | Zapier |
|---|---|---|
| Best for | Technical teams, high-volume workflows, AI-heavy automations | Non-technical operators, broad SaaS coverage, low-volume glue |
| Pricing model | Per execution (cloud) or free (self-host) | Per task (each step counts) |
| Integrations | ~400 native + HTTP node for anything | 7,000+ native |
| Code support | First-class JS/Python with npm/pip | Limited code steps, no installable packages |
| Self-hosting | Yes — Docker, on any infra | No — cloud only |
| AI workflows | Native LLM nodes, no per-call markup | Each LLM call is a metered task |
| Learning curve | Engineer: hours · non-dev: 1–2 weeks | Non-dev productive in minutes |
Pricing — the most common reason teams switch
Zapier prices per task; n8n cloud prices per execution; n8n self-hosted prices per VPS. Same workflow, three different bills.
| Tier | n8n | Zapier |
|---|---|---|
| Free | Self-host: unlimited · Cloud: trial only | 100 tasks/mo · 2-step Zaps only |
| Entry paid | Cloud Starter — $20/mo · 2,500 executions | Professional — $29.99/mo · 750 tasks |
| Mid | Cloud Pro — $50/mo · 10,000 executions | Team — $103.50/mo · 2,000 tasks |
| Enterprise | Self-host (any scale) · or Cloud Enterprise (custom) | Company — $373.50/mo · 50,000 tasks |
| Unit being metered | Workflow execution (one run, any number of steps) | Task (each step in a workflow run) |
Real-world cost comparison
A mid-market lead-ops stack (enrichment + scoring + follow-up + reporting) running on 500 leads/day generates roughly 80,000 task-equivalents per month. Here's the bill:
| Platform | Monthly cost | Notes |
|---|---|---|
| Zapier Team | ~$400+ | Likely needs upgrade to Company tier soon |
| Zapier Company | ~$750+ | Higher tier required for SSO + headroom |
| n8n Cloud Pro | $50 | 10,000 executions covers this; upgrade if scaling further |
| n8n self-hosted | $25 | $5–20 VPS + backup; unlimited executions |
Integration breadth
| Platform | Native integrations | Workaround for missing apps |
|---|---|---|
| Zapier | 7,000+ | Best-in-class; rarely need workarounds |
| Make | 1,500+ | HTTP module + community apps |
| n8n | 400+ | Generic HTTP node + community nodes — covers anything with a public API |
In practice: any modern SaaS with a public API can be integrated in n8n in 10–20 minutes via the HTTP node, even if there's no native integration. Niche or older SaaS without a public API → Zapier may be your only option.
Where Zapier's catalog matters most: fringe SaaS tools that an SMB might use (industry-specific CRMs, niche scheduling tools, regional payment gateways). n8n covers all the mainstream stuff (CRMs, email, calendar, data warehouses, AI APIs).
Code support — where the gap is widest
Zapier
Has a Code by Zapier step (Python or JavaScript). Limitations: short execution timeout, no installable npm/pip packages, sandboxed environment, no persistent state. Fine for "transform this string" tasks; not enough for real custom logic.
n8n
Code nodes are first-class. Full JavaScript or Python with arbitrary npm/pip packages. You can install custom dependencies on self-hosted instances. Treat n8n like a backend, not a glue tool.
This matters most for: data transformations beyond field mapping, custom auth flows, complex business logic, AI prompt engineering with state.
AI features and agent workflows
Both platforms added LLM features in 2024 and shipped agent capabilities through 2025, but n8n won the AI workflow lane on cost and code control. n8n charges only the API cost for LLM calls (no platform markup), supports multi-step agent loops via the LangChain AI Agent node, ships native vector store / RAG capability, and gives full code-level prompt control through JS or Python in code nodes. Zapier matches feature-for-feature on the basics (OpenAI/Anthropic nodes, the Zapier Agents product launched in 2025) but charges 1 task per LLM call on top of the API cost — which compounds fast on multi-step agents. For any AI workflow over 3 steps and 500 runs/month, n8n is dramatically cheaper.
| Capability | n8n | Zapier |
|---|---|---|
| Native LLM nodes | OpenAI, Anthropic, Google, LangChain | OpenAI, Anthropic, plus AI Actions library |
| Multi-step agent loops | Yes — LangChain + AI Agent node | Yes — Zapier Agents (launched 2025) |
| Cost per LLM call | Only the API cost (no platform markup) | API cost + 1 task per call |
| Vector store / RAG | Native via LangChain nodes | Possible via external integration |
| Code-level prompt control | Full — JS/Python in code nodes | Limited — within AI Action presets |
| Best fit | Production agents, RAG, anything multi-step | Single-prompt actions, AI-assisted glue |
Self-hosting and compliance
Zapier is cloud-only. All data passes through Zapier's infrastructure. For most use cases, fine. For some — HIPAA, financial data, EU data residency, internal tools handling secrets — not an option.
n8n self-hosting runs in Docker on infra you control. You can deploy on AWS, Azure, GCP, Hetzner, on-prem, anywhere Docker runs. Data never leaves your environment unless you explicitly send it out via a tool. This is the deal-breaker reason teams pick n8n in regulated industries.
Ease of use and learning curve
Zapier
Best-in-class for non-technical operators. The editor is friendlier, the error messages are clearer, the "let's test it" UX is polished. Most non-developers can build their first Zap in 10 minutes.
n8n
More technical-leaning interface. Visible JSON, expressions written in JavaScript, denser node configuration. A non-developer can learn n8n, but it takes 1–2 weeks to feel comfortable. An engineer is productive in n8n within hours.
Reliability and operations
Both are production-grade. Differences:
- Zapier handles infrastructure entirely. Updates, scaling, monitoring — not your problem.
- n8n Cloud: same managed experience, just at lower per-execution cost.
- n8n Self-hosted: you handle Docker, backups, scaling, monitoring. Realistically 1 hour/month if it's set up correctly. More if you want HA or multi-region.
Both have retry-on-failure, error notifications, run history. n8n has slightly better visualization of complex workflow runs. Zapier has slightly better mobile/email error reports.
Migration: Zapier → n8n
A typical Zapier→n8n migration runs five steps over 1–2 weeks for a 20–30 Zap inventory, and pays back in 2–4 months from cost reduction alone. Audit current Zaps and categorize by volume and complexity, migrate high-volume Zaps first to capture the biggest savings, rebuild each workflow from scratch in n8n (no auto-importer exists), run both platforms in parallel for 1–2 weeks to verify equivalence, then cut over high-volume workflows while leaving low-volume connectors on Zapier — the catalog advantage matters more than the cost at the long tail. The migration is rarely the technical challenge; the categorization and cutover scheduling are.
- Audit current Zaps. Categorize by volume (high/medium/low) and complexity.
- Migrate high-volume Zaps first — these capture the most savings.
- Build the equivalent in n8n. There's no auto-importer; each workflow is rebuilt from scratch.
- Run both in parallel for 1–2 weeks. Compare outputs to verify nothing broke.
- Cut over high-volume workflows. Leave low-volume connectors on Zapier (the catalog advantage matters more than the cost).
Realistic timeline: 1–2 weeks for a typical 20–30 Zap migration. Total project cost usually pays back in 2–4 months from the cost reduction alone.
When to pick neither — alternatives that come up
- Make (formerly Integromat) — sits between the two on price/complexity. Cloud-only like Zapier, more visual flexibility than Zapier, less code-friendly than n8n.
- Workato — enterprise focus, much more expensive. Right for large orgs with complex integration needs.
- Pipedream — code-first developer platform, good for technical teams who don't want visual flows.
- Custom code — for teams with engineering capacity and very high volumes, just writing a TypeScript service is sometimes simpler than any platform.
Final recommendation framework
The pick collapses to three questions. How many task-equivalents per month — under 10k means Zapier, over means start looking at n8n. Do you have technical capacity that can read code occasionally — no means Zapier, yes means n8n unlocks meaningfully more value. Do you need self-hosting for compliance or platform-ownership reasons — yes means n8n is the only realistic option in this comparison. Two-of-three pointing at n8n usually settles it; if all three point at Zapier, stay there and don't overthink.
- How many task-equivalents per month? Under 10k → Zapier. Over → start looking at n8n.
- Do you have technical capacity? No → Zapier. Yes → n8n unlocks more value.
- Do you need self-hosting? Yes → n8n is the only realistic option in this comparison.
Most clients we work with end up running both: Zapier for the long tail of low-volume connectors (where the 7,000+ catalog matters), n8n for the high-volume backbone (where the cost matters). It's not either/or — it's "right tool for each workflow".