Skip to main content

n8n vs Make: Paying per Run or per Step

Pick n8n for long workflows and self-hosting, and Make for a hosted builder that business teams run without servers.

Reading time
3 min read
Sources
22 cited
In this piece

GILD verdict

Choose n8n when workflows run long or loop over many items, data must stay on your infrastructure, or your team writes code.

Choose Make when you want a hosted platform and builders who never touch a server. Price your three busiest workflows on both before deciding.

Long or looping workflows cost less on n8n, which bills one execution per workflow run whatever its length. Make bills a credit per module operation. Short scenarios cost little on either. Make runs only as a hosted service, and n8n can also run on your own infrastructure. Both are visual platforms with branching, error handling, and AI agents.

Choosing between n8n and Make

Choose n8n if

  • Your workflows have many steps or loop over many items, where per-run billing stays flat as steps grow.
  • Data must stay on your own servers: the Community edition self-hosts for free, for internal use.
  • Your team writes JavaScript or Python in workflows, or needs Git-backed environments on Business or Enterprise.

Choose Make if

  • You want a hosted platform with no servers to run, and short scenarios where per-operation credits stay small.
  • You want hosted data zones in the US or the EU, chosen per organization.
  • Your builders prefer Make's scenario designer and its error handlers, such as Rollback and Resume, without writing code.

Side by side

Dimensionn8nMake
Billing unitChecked against each vendor's pricing and help pages on Oct 12, 2026.One execution per production workflow run, whatever the number of steps; manual runs, sub-workflows, error workflows, and polls that return nothing do not countCredits: 1 credit per module operation for non-AI apps, and token-based credits for Make's AI Provider; error handler modules and the Router use no credits
Entry plansList prices in each vendor's currency: n8n in euros, Make in US dollars.Cloud: Starter €20 a month for 2,500 executions and Pro €50 a month for 10,000, billed annually (€24 and €60 billed monthly); Enterprise by quote. Self-hosted: Community edition free; Business €667 a month billed annually for 40,000 executions; Enterprise by quoteA Free plan with 1,000 credits a month. For US buyers, Core, Pro, and Teams from US$12, US$21, and US$38 a month billed annually for 10,000 credits. Core scales to 300,000 credits a month and Pro to 8 million; Enterprise by quote
Going over the planCloud plans move up a tier; self-hosted Business overage is €4,000 per extra 300,000 executions, and workflows keep runningExtra credits in units of 1,000, at 25% more than plan credits, valid until the end of the billing cycle
Where it runsn8n Cloud in Frankfurt, or self-hosted on your own infrastructure with Docker, Docker Compose, or KubernetesHosted only, in US or EU data zones; Enterprise runs on a dedicated server in your region, and an on-premise agent reaches local systems over HTTP
Error handlingAn error workflow per workflow, started by the Error Trigger, plus the Stop And Error node to fail a run on purposeSkip, Retry, Resume, Commit, and Rollback error handlers; incomplete executions retried automatically on rate limit, connection, and timeout errors
VersioningWorkflow history (1 day on Starter, 5 days on Pro, 365 or more on Enterprise); Git source control and environments on Business and EnterpriseSaved scenario versions with descriptions, kept for 60 days, and recovery of unsaved changes
CodeJavaScript and Python Code nodes on every plan; custom nodes on self-hosted instancesThe Make Code app runs JavaScript or Python on paid plans at 2 credits per second of execution; custom JavaScript functions on Enterprise
AI agentsAI Agent node with connected tools, MCP Server Trigger and MCP Client, human approval for tool calls, the Guardrails node, and evaluations; the standalone Agents builder is in early releaseMake AI Agent (New), in open beta since February 2, 2026, with modules, scenarios, MCP server tools, and other agents as tools
Model billingYour own provider keys, or prepaid Gateway credits on Cloud Starter and ProMake's AI Provider on all plans, billed in token-based credits, or your own provider connection on paid plans

What practitioners report, side by side

Each product's figures come from its own practitioners, for the group you pick.

Whose sources to count
Compare n8n with
  • Make

Overall signal

All users rate n8n +10, 10 points above Make at 0. Most of the gap is in praise, with 28 of n8n's 73 sources positive against 15 of Make's 49. n8n has 21 negative and Make 14.

The score counts the authors from all users that take a side, one vote each with their latest view, and is how far positive votes lead negative ones, per 100 votes, so Make's 0 rests on votes split 14 positive, 20 mixed and 14 negative. Each of n8n's authors wrote one source here, so each source is one vote.

A lead of a fifth of the votes reads positive and a lead of half strong positive, with the same lines below zero. The dots show each source, positive, mixed, negative. Run a pilot on one live workflow to measure failed runs and the time spent fixing them.

Footprint on the AI Knowledge Work stack

They differ on one of 7 layers. On Enterprise search, n8n supports it and Make touches it. Coverage is each product's placement on this stack, as its product page shows it. Core is a job the product owns; Supports and Touches are jobs it helps with. Coverage says nothing about how well a product does them.

Layers where n8n and Make differ
Layern8nMake
Find
Enterprise searchSupportsTouches
The 6 layers where they match
Layers where n8n and Make match
Layern8nMake
Assist
AI assistantTouchesTouches
Find
Web researchTouchesTouches
Create
DocumentsTouchesTouches
Meeting notesTouchesTouches
Analyze
Data analysisTouchesTouches
Automate
AutomationCoreCore

What practitioners praise

Among all users, n8n alone has five praise themes that reach 5 sources from 3 authors. AI agent workflows and Self-hosting & data control lead, at 14 of 21 and 12 of 14. Make alone has three praise themes that reach 5 sources from 3 authors. Logic without code and App coverage lead, at 8 of 11 and 3 of 6.

What practitioners praise, All users
Praised forn8nMake
AI agent workflows14 of 21Not a theme in its sources
Self-hosting & data control12 of 14Not a theme in its sources
Cost at volume12 of 15Not a theme in its sources
Code & flexibility9 of 16Not a theme in its sources
Visual building & debugging6 of 7Not a theme in its sources
Logic without codeNot a theme in its sources8 of 11
App coverageNot a theme in its sources3 of 6
AI agents & MCPNot a theme in its sources1 of 5

Each count is the sources that praise a theme, or raise it as a concern, out of those that discuss it. A row pairs the two products when both carry a theme under the same or an equivalent name.

A count ending in "so far" has under 5 sources from 3 authors among all users. "Not a theme in its sources" means GILD found no theme of that name in that product's sources.

What practitioners raise as concerns

n8n's sources raise Learning curve more often than Make's. It is raised in 6 of the 8 n8n sources that discuss it, against 4 of 8 for Make. n8n alone has five concern themes that reach 5 sources from 3 authors. Failed & silent runs and License & paid tiers lead, at 13 of 15 and 12 of 13. Credit metering and Run failures reach 5 sources from 3 authors only for Make, at 14 of 14 and 5 of 7. n8n needs a pilot on the same workflows before you choose on either.

What practitioners raise as concerns, All users
Raised as a concernn8nMake
Learning curve6 of 84 of 8
Failed & silent runs13 of 15Not a theme in its sources
License & paid tiers12 of 13Not a theme in its sources
Maintainability at scale10 of 12Not a theme in its sources
Self-hosting upkeep10 of 14Not a theme in its sources
Feature Gaps7 of 7Not a theme in its sources
Credit meteringNot a theme in its sources14 of 14
Run failuresNot a theme in its sources5 of 7

22 sources

  1. n8n pricingOfficial documentationn8n.io
  2. n8n docs: Understand executionsOfficial documentationdocs.n8n.io
  3. n8n docs: Host n8nOfficial documentationdocs.n8n.io
  4. n8n docs: Compare editionsOfficial documentationdocs.n8n.io
  5. n8n docs: Handle errors gracefullyOfficial documentationdocs.n8n.io
  6. n8n docs: Use source control and environmentsOfficial documentationdocs.n8n.io
  7. n8n docs: AI Agent nodeOfficial documentationdocs.n8n.io
  8. n8n docs: Human-in-the-loop for toolsOfficial documentationdocs.n8n.io
  9. n8n docs: Build and manage agentsOfficial documentationdocs.n8n.io
  10. n8n docs: Gateway creditsOfficial documentationdocs.n8n.io
  11. Make pricingOfficial documentationmake.com
  12. Make Help Center: CreditsOfficial documentationhelp.make.com
  13. Make Help Center: Adjustments to plans and pricing (Nov 6, 2025)Official documentationhelp.make.com
  14. Make Help Center: Extra creditsOfficial documentationhelp.make.com
  15. Make Help Center: Error handlersOfficial documentationhelp.make.com
  16. Make Help Center: Automatic retry of incomplete executionsOfficial documentationhelp.make.com
  17. Make Help Center: Scenario version controlOfficial documentationhelp.make.com
  18. Make Help Center: Custom functionsOfficial documentationhelp.make.com
  19. Make Help Center: On-premise agentOfficial documentationhelp.make.com
  20. Make Help Center: Upgrade to the Enterprise planOfficial documentationhelp.make.com
  21. Make Help Center: AI providers and data zones in MakeOfficial documentationhelp.make.com
  22. Make Help Center: Introduction to Make AI Agent (New)Official documentationhelp.make.com