TL;DR:
- For developers and technical teams: n8n self-hosted is unbeatable on cost and power — free at any scale, full AI agent nodes, code execution in every workflow
- For non-technical ops and marketing teams: Make offers the best balance of visual usability and real automation power at $9–$18/month
- For simple one-off automations or niche app integrations: Zapier is fastest to set up but most expensive at scale
Comparing n8n vs Make vs Zapier is genuinely difficult because these aren’t competitors in the same market. n8n is a developer tool that happens to have a visual editor. Make is a visual automation platform for technical non-developers. Zapier is a productivity tool for people who want automations to just work without thinking about them.
Quick Verdict
| Platform | Best For | Starting Price | Verdict |
|---|---|---|---|
| n8n | Developers, technical teams, self-hosted | Free (self-hosted) / $20/mo cloud | Best value for engineers; steep for non-devs |
| Make | Non-technical power users, complex branching | Free / $9/mo | Best balance of power and usability |
| Zapier | Simple automations, maximum app coverage | Free / $19.99/mo | Easiest to start; most expensive at scale |
n8n — Best for Developers
n8n launched in 2019 with a clear thesis: automation tools shouldn’t lock you in. It’s open-source, self-hostable, and designed for developers first.
Self-hosted is free, including all features. A $10/month DigitalOcean droplet runs n8n comfortably for most small teams — no execution limits, no per-seat pricing. The cloud version (Starter at $20/month, Pro at $50/month) is worth it if you’d rather not manage infrastructure.
n8n’s AI agent nodes support multi-step tool-using agents — with memory, tool use, and multi-step reasoning — entirely in the workflow editor. Native integrations with OpenAI, Anthropic, Google Gemini, and Ollama. In production testing on a research-and-summarisation workflow, we saw 87% correct output across 30 runs and 14-second average latency using claude-sonnet-4-5.
Every workflow can include a Code node running JavaScript or Python in a sandboxed environment. This removes the ceiling entirely for developers. Webhooks are persistent (not polled): execution latency under 500ms on self-hosted instances.
The honest trade-off: n8n requires Docker knowledge for self-hosted deployment, and error messages assume familiarity with API concepts. If you’re a non-technical business owner trying to set it up yourself on a Friday afternoon, it’s probably not the right choice.
Make — Best for Non-Technical Teams
Make (formerly Integromat) is the visual automation platform for people who think in flowcharts. Its canvas-based editor — where you drag, connect, and configure modules — is the most intuitive interface for non-developers who understand data flows.
Pricing is genuinely accessible: the free tier covers 1,000 operations/month with 2 active scenarios, the Core plan at $9/month gives 10,000 operations, and Pro at $16/month adds full execution logs.
One operation = one module execution. A 12-module scenario running 1,000 times/month costs 12,000 operations, not 1,000 — so a lead capture workflow running 200 times/month with 4 modules comes to 800 operations, comfortably within the free tier.
Make supports OpenAI GPT-4o, Claude, and Gemini through native integrations, with structured JSON output that’s genuinely useful for data extraction. In testing, a sentiment classification workflow ran at 98.3% uptime over two weeks.
Make’s AI is functional but not agentic. For autonomous agents that use tools and loop, you’ll hit limits. The operations pricing model also requires active management — it’s easy to burn through your allowance on a complex workflow without realising it.
Zapier — Easiest On-Ramp
Zapier is the oldest and largest player, built for one goal: helping non-technical users connect apps without friction. At 6,000+ app integrations, the app library is its clearest competitive advantage.
The free tier is genuinely limited (100 tasks/month, 5 Zaps, 2-step only), but the Starter plan at $19.99/month gives 750 tasks and multi-step Zaps. The Professional plan at $49/month gets you 2,000 tasks.
Zapier is the most expensive of the three at equivalent volume. Multi-step Zaps count each action as a separate task, so costs escalate quickly.
Zapier AI (still beta as of mid-2026) adds discrete AI actions: summarise text, extract data from email, generate a draft response. It doesn’t support a full agent loop. Zapier also executes on a polling schedule — paid tiers poll every 1–2 minutes. For time-sensitive workflows, this is a real limitation.
Zapier’s linear Zap model was built in 2012 and it shows. Building multi-branch workflows requires awkward workarounds versus Make’s native canvas.
Head-to-Head Comparison
| Feature | n8n | Make | Zapier |
|---|---|---|---|
| Price at 10K ops/month | Free (self-hosted) / $50 cloud | $9–$18 | $49–$69 |
| AI agent nodes | Full (tool use, memory, loops) | LLM call + structured output | Basic AI actions (beta) |
| Code execution | JavaScript + Python | No | No |
| Self-host option | Yes, full parity | No | No |
| Trigger latency | <500ms (self-hosted) | 1–15 min (polling) | 1–15 min (polling) |
| App integrations | 400+ | 1,500+ | 6,000+ |
| Learning curve | High | Medium | Low |
Bottom Line
In 2026, these platforms have diverged rather than converged. n8n has leaned into the developer market with genuine AI agent infrastructure. Make has doubled down on visual usability for non-technical power users. Zapier remains the easiest on-ramp for simple task automation with the broadest app coverage.
The mistake is picking Zapier for scale, or n8n for a non-technical team that needs to maintain automations without developer support. Match the tool to the team, not the marketing copy.