n8n vs Make (2026): Which Automation Tool Should You Pick?

Pick n8n if you're technical, want self-hosting, code-level control, and the lowest cost at scale; pick Make if you want the friendliest visual builder and the cheapest cloud entry point. That's the short version. Both connect apps and run logic on a canvas, but they optimize for opposite users: n8n for developers who want power and ownership, Make for no-coders who want ease and a $9/month starting price. This comparison breaks down pricing, flexibility, and usability so you can pick with confidence.

n8n vs Make: side by side

The core differences in one view. Read on for what each row means in practice.

	n8n	Make
Best for	Developers, self-hosting, scale	No-coders, visual builders
Starting price	Free self-hosted · cloud €20/mo	Free · Core $9/mo
Billing model	Per workflow execution (flat)	Per operation / credit
Self-hosting	Yes — free, unlimited	No — cloud only
Custom code	Full JavaScript & Python	Limited code support
License	Fair-code / source-available	Proprietary
Learning curve	Steeper	Gentler
AI features	Native MCP, agent nodes, Ollama	Native AI modules

Pricing & billing

This is where the two tools diverge most, and it's the deciding factor for a lot of teams. The models are fundamentally different: Make charges per operation (each module run), while n8n charges a flat rate per workflow execution — a whole multi-step workflow counts as one execution.

For low-volume cloud use, Make is cheaper: Core is $9/month for 10,000 operations, versus n8n's Starter at €20/month for 2,500 executions. But the comparison flips as you scale. Because n8n counts per execution rather than per step, a complex workflow that would rack up many operations on Make counts as a single execution on n8n — and if you self-host, it's free with unlimited executions. So Make wins on managed, low-volume hosting; n8n wins decisively on self-hosted scale and on any workflow with lots of steps per run.

One caveat on both: AI features meter differently. Make's 2025 shift to credits means model calls can consume credits faster than standard modules, and n8n's cloud plans include a monthly AI-credit allowance on top of executions. For the plan-by-plan detail, see our n8n pricing guide.

Flexibility & code

If you'll ever need to do something the visual builder can't express, n8n wins outright. Every n8n node can drop into a Code node running JavaScript or Python, so custom transforms, bespoke API calls, and arbitrary logic stay inside one workflow. Make has some code and function support, but it's limited by comparison — you're mostly working within its modules.

n8n also carries developer conveniences Make lacks: Git version control on higher tiers, so automations live in a repo and ship through review; partial executions for debugging a single step; and the self-hosting that lets you run local models and keep data on your own hardware. Experienced engineers frequently describe n8n's workflow-development experience — partial runs, step inspection — as the better workbench. Make counters with a cleaner canvas and superior branching visualization, which matters more if you think spatially than in code. Our n8n review and Make review go deeper on each.

Ease of use

Make is the friendlier tool, full stop. Its canvas shows data flowing bubble-by-bubble, its modules handle OAuth cleanly, and a first-time user can build something useful in an afternoon. If you're non-technical or you value time-to-first-automation, that gentler on-ramp is a genuine advantage.

n8n asks more of you up front. Expressions, webhooks, and manual OAuth setup make the first week harder, and reviewers consistently note the steeper learning curve. The pattern is equally consistent, though: once developers get past the initial climb, they find the node-based interface intuitive and rarely switch back, because the ceiling is so much higher. So the trade is real — Make is easier to start, n8n is more rewarding to master. Choose based on whether "up and running today" or "no ceiling later" matters more to you.

Which should you pick?

Both are excellent; the right one depends entirely on who you are.

Pick n8n if you're a developer or technical team, you want to self-host for free and control your data, you need custom JavaScript or Python, you value Git version control, or you're scaling volume and want per-execution billing. It's the better long-run bet for anyone comfortable with a little logic — and the cheapest at scale by a wide margin.

Pick Make if you're non-technical or no-code, you want the friendliest visual canvas, you're doing low-to-moderate cloud volume where $9/month buys plenty, or you value branching that's easy to see and reason about. It's the best on-ramp for people outgrowing Zapier who aren't ready to self-host.

Still weighing it? A lot of teams end up running both — Make for quick visual automations, n8n for the heavy, code-touching workflows. See where each lands in our best AI automation tools ranking, or browse the field in n8n alternatives.