Which is better for AI agents, n8n or Make?

n8n. It has native AI agent nodes, LLM chains, memory, vector store integrations, and an MCP server so AI tools can build workflows for you. Make can call AI APIs but has no comparable agent framework.

n8n vs Make (2026): The Honest Breakdown

Q: Is n8n cheaper than Make?

At small scale Make is often cheaper because its free tier needs no server. At scale n8n wins decisively: per-execution pricing (or free self-hosting) means a complex workflow costs the same as a simple one, while Make bills every module operation.

Q: Can I migrate from Make to n8n?

There is no one-click migration, but rebuilding is fast in 2026: paste a screenshot or description of your Make scenario into Claude and ask for importable n8n JSON, then test each node. Most scenarios port in under an hour.

Last updated September 2026 · ~8 min read · by StackHonest

Affiliate disclosure: some links below are affiliate links. If you sign up through them I earn a commission at no extra cost to you. Every comparison here is researched from vendor documentation and current pricing pages — I will tell you when something is not worth your money.

I have real workflows running on both platforms right now. This isn't a spec-sheet comparison — it's what actually matters after months of production use: pricing math, where each one breaks at 2 a.m., and which one to pick for AI work.

The 30-second answer

Pick n8n if you're technical (or willing to become technical), want AI agents, or run high-volume workflows. Pick Make if you want the gentlest learning curve and your automations are simple and low-volume.

Pricing: the part that actually decides it

This is where every other comparison article gets lazy. The two platforms don't just have different prices — they have different units:

	n8n	Make
Billing unit	Workflow execution (one run, any size)	Operation (every module, every run)
Free option	Self-hosted: unlimited, forever	1,000 ops/month cloud
Entry paid	$20/mo annual, $24/mo monthly cloud (2.5k executions)	Core $12/mo annual, $16/mo monthly (10k credits) — verified Oct 3 2026
A 30-step workflow, 1,000 runs/mo	1,000 executions	30,000 operations

Read that last row again. The same automation consumes 1,000 units on n8n and 30,000 on Make. Simple 3-step zaps? Make is cheap. AI agent doing research-draft-review-post? Make's meter spins like a slot machine. (Zapier has the same structural trap, worse — full math in my n8n vs Zapier comparison.)

Learning curve

Make wins the first week. Its scenario builder is friendlier, errors are gentler, and the module library holds your hand. n8n used to lose people here — but the 2026 workaround changed the game: you don't have to build n8n workflows by hand anymore. Claude (or n8n's own MCP server) generates complete importable workflow JSON from a plain-English description. My honest advice: let AI write the first version, then learn by fixing it.

AI capability — not close

n8n has native AI Agent nodes: tool-calling, memory, LLM chains, vector stores, and an MCP server that lets AI assistants build and modify your workflows conversationally. Make can call OpenAI/Claude APIs like any HTTP client, but there's no agent framework. If "AI automation" is why you're here, this section alone decides it: n8n.

Where each one breaks

n8n's failure modes

Self-hosted = you're on call. The Template availability currently offers no download or email signup.
Community nodes can lag behind core upgrades. Pin versions; upgrade deliberately.
Memory usage grows with big JSON payloads — batch large datasets.

Make's failure modes

Operation limits creep up on you — a webhook storm can burn a month's quota in an hour.
Complex branching becomes unreadable spaghetti; there's no "code node" escape hatch as capable as n8n's.
Scenario history retention is short on cheap plans — debugging yesterday's failure can be impossible.

Self-hosting: n8n's trump card

n8n is source-available and runs on anything — an old laptop, a $5 VPS, a Raspberry Pi. Your data never leaves your machine (matters for client work and anything with PII). Make has no self-hosted option at any price.

The verdict, by person

You are…	Pick
Building AI agents or multi-step LLM pipelines	n8n
Non-technical, simple linear automations	Make
Budget = $0, comfort with a terminal	n8n self-hosted
High-volume anything	n8n — the pricing math is brutal on Make
Agency building for clients	n8n (self-host per client, or cloud) — it's what you can resell

FAQ

Is n8n cheaper than Make?

At tiny scale, Make. At any real scale, n8n — per-execution beats per-operation the moment workflows get complex.

Which is better for AI agents?

n8n, by a wide margin: native agent nodes, memory, vector stores, MCP.

Can I migrate from Make to n8n?

No one-click path, but Claude can rebuild most scenarios as importable n8n JSON from a screenshot in under an hour.

The Template availability currently offers no download or email signup. Related reading: Best AI Automation Tools in 2026.