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Makevsn8n

TL;DR

Make bills credits and n8n bills executions, and that single difference drives most of the price gap. Make's Free plan allows up to 1,000 credits a month, Core is $9 a month for 10,000 credits, Pro is $16, Teams is $29 and Enterprise is custom; every module action in a scenario, such as adding a row to a sheet, costs one credit. n8n Cloud is 20€ a month billed annually for 2,500 executions with unlimited steps and unlimited users, Pro is 50€ for 10,000 executions and 20 concurrent runs, Business is 667€ for 40,000 executions on self-hosted only, and Enterprise is quoted; the Community Edition is free to self-host from GitHub. A workflow with fifty steps costs Make fifty credits and n8n one execution.

n8n prices executions and includes unlimited users on every cloud plan. Starter is 20€ a month billed annually for 2,500 executions with unlimited steps, one shared project, five concurrent executions, 2,300 AI credits a month and forum support. Pro is 50€ a month billed annually for 10,000 executions, three shared projects, 20 concurrent executions, seven days of insights, admin roles, global variables and up to 13,700 AI credits a month. Business is 667€ a month billed annually and is self-hosted only, with 40,000 executions, six shared projects, SSO, SAML and LDAP, 30 days of insights, Git version control and different environments. Enterprise is quoted and adds unlimited shared projects, 200+ concurrent executions, 365 days of insights, log streaming and an SLA. The Community Edition is a standard self-hosted build on GitHub, companies with under 20 employees can apply for 50% off Business, and annual billing saves 17 percent.

That leaves a straightforward test. Count what a run costs in each model. In Make, a scenario with twenty modules costs twenty credits each time it runs, so 10,000 credits is 500 runs of that scenario. In n8n, the same scenario costs one execution no matter how many steps it contains, so 2,500 executions is 2,500 runs. If your automations are short and frequent, Make's credit ladder is cheap and its $9 entry price is hard to beat. If your automations are long and chained, with branching and error paths, n8n's execution model prices far lower at the same workload, and its unlimited users mean the cost does not rise when colleagues need access. Make's advantage is a gentler learning curve and a credit price you can start at for $9; n8n's is code when you need it, self-hosting, and a billing unit that does not punish complexity.

Pros & cons

👍 Make Pros

  • Free plan with up to 1,000 credits a month and no time limit on it
  • Core is $9 a month at the 10,000-credit tier, the cheapest paid entry in this comparison
  • Pro is $16 a month and Teams is $29 a month, with credit tiers selectable up to 8 million and beyond
  • More than 3,000 apps, routers and filters on every plan, including Free
  • Annual billing saves 15% or more
  • Visual-first builder with AI features including Maia for building by conversation, an MCP server and AI agents

👎 Make Cons

  • Credits are consumed per module action, so a long scenario burns the allowance quickly
  • Free runs have a 15-minute minimum interval between executions
  • The API unlocks only at Core, and priority execution, custom variables and log search only at Pro
  • Team roles and shared scenario templates require Teams at $29 a month
  • Enterprise pricing is custom rather than published

👍 n8n Pros

  • Starter is 20€ a month billed annually with 2,500 executions and unlimited steps
  • Billing is per execution, not per step, so a long workflow still costs one execution
  • Unlimited users on every cloud plan, so adding colleagues does not change the tier
  • Pro is 50€ a month with 10,000 executions, 20 concurrent executions and up to 13,700 AI credits a month
  • A free self-hosted Community Edition is available on GitHub, and companies under 20 employees can apply for 50% off Business
  • Business at 667€ a month adds SSO, SAML and LDAP, Git version control and different environments

👎 n8n Cons

  • No permanently free cloud tier; the cheapest hosted plan is 20€ a month billed annually
  • Executions are metered: 2,500 on Starter, 10,000 on Pro and 40,000 on Business
  • Business at 667€ a month is self-hosted only, which puts operations on your team
  • AI credits are capped monthly and do not roll over, and extra credits cannot currently be bought
  • Concurrent executions are capped at 5 on Starter and 20 on Pro

Side by side

FeatureMaken8n
Free tierUp to 1,000 credits a month, no time limitFree self-hosted Community Edition on GitHub; no free cloud plan
Entry paid planCore at $9 a month for 10,000 creditsStarter at 20€ a month billed annually for 2,500 executions
Mid planPro at $16 a month, Teams at $29 a monthPro at 50€ a month billed annually for 10,000 executions
Top published planEnterprise, custom pricingBusiness at 667€ a month billed annually, self-hosted only
Billing unitOne credit per module action, so steps multiply the costOne execution per whole workflow run, regardless of steps
Users includedPlan and credit basedUnlimited users on every cloud plan
AI allowanceAI features including Maia, MCP server and AI agents across plans2,300 AI credits a month on Starter, up to 13,700 on Pro, non-rolling
ConcurrencyFree plans wait 15 minutes between runs; paid plans schedule to the minute5 concurrent executions on Starter, 20 on Pro, 200+ on Enterprise
Self-hostingNot a published option on the plan ladderCommunity Edition free on GitHub; Business plan also self-hosted
Annual saving15% or more17%

Verdict

Pick Make if

Choose Make when your automations are short and you want to start at $9

Make is the easier entry and the cheaper one if your scenarios are short. Free allows up to 1,000 credits a month with more than 3,000 apps and a 15-minute minimum interval, Core is $9 a month for 10,000 credits and unlocks the API, Pro is $16 and adds priority execution and log search, and Teams is $29 with team roles and shared templates. Credit tiers scale from 10,000 up past 8 million, so you can buy volume precisely, and annual billing saves 15% or more. The risk is complexity: because every module action costs a credit, a long branching scenario eats the allowance fast, and a team that grows its automation surface should model the credit cost before committing.

Pick n8n if

Choose n8n when your workflows are long or your user count is large

n8n prices the run rather than the step, which makes it the predictable choice for anything with many modules. Starter at 20€ a month billed annually covers 2,500 executions with unlimited steps, unlimited users and 2,300 AI credits, Pro at 50€ covers 10,000 executions with 20 concurrent runs and up to 13,700 AI credits, and Business at 667€ adds SSO, SAML, LDAP, Git version control and environments on a self-hosted deployment. The Community Edition on GitHub means the software costs nothing if you supply the server, and companies under 20 employees can apply for 50% off Business. The trade is that there is no permanently free hosted plan, AI credits do not roll over, and concurrency is capped below Enterprise.

What the vendors say, and what we did not measure

Make: vendor-published claims

  • Make states the Free plan has no time limit and includes more than 3,000 apps
  • Make states annual billing saves 15% or more

Make: caveats

  • Make states each module action counts as one credit
  • Make states the Free plan has a 15-minute minimum interval between runs

n8n: vendor-published claims

  • n8n states every cloud plan includes unlimited users and unlimited steps
  • n8n states companies under 20 employees can apply for 50% off the Business plan

n8n: caveats

  • n8n states AI credit balances refresh monthly and unused credits do not roll over
  • n8n states the Business plan is currently self-hosted only

Neither vendor publishes third-party review data we are willing to restate as fact, and we did not run either product. Every figure here comes from the two vendors' own pricing and product pages as published when this comparison was written. The lists headed 'vendor-published claims' are the vendors' own statements, not user reviews.

Who Should Use Which?

Use Make if you...

  • Your automations are short, frequent and mostly two to five steps
  • You want a free plan that can run indefinitely and a $9 first paid tier
  • You value a visual builder and a large catalogue of more than 3,000 apps
  • You want to buy credit volume precisely, from 10,000 up past 8 million

Use n8n if you...

  • Your workflows are long and branching, where per-step billing would be punitive
  • Dozens of people need access, since every n8n cloud plan includes unlimited users
  • You want to self-host, either free through the Community Edition or on the Business plan
  • Your team writes JavaScript or Python and wants code inside the workflow

FAQ

Which is cheaper, Make or n8n?

Make's published entry is lower at $9 a month for 10,000 credits against n8n Starter at 20€ a month billed annually, and Make has a free plan with up to 1,000 credits while n8n's free option is self-hosted only. At the same workload the answer flips: Make charges one credit per module action, so long scenarios consume many credits per run, while n8n charges one execution per whole run.

What is the difference between a credit and an execution?

Make's credit is a module action: adding a Google Sheet row or fetching Gmail data each costs one credit, so a twenty-module scenario costs twenty credits per run. n8n bills the full execution, and states that it charges for runs rather than each step or user, so the same twenty-step workflow costs one execution.

Can I self-host either one?

n8n can be self-hosted using the Community Edition, a standard build available on GitHub, and the Business plan at 667€ a month is also self-hosted only. Make's published plan ladder does not include a self-hosted option; its Enterprise tier is custom-priced and covers enterprise app integrations, overage protection and advanced security.

How is AI priced on each?

n8n bundles AI credits per cloud plan: 2,300 a month on Starter and up to 13,700 on Pro, capped monthly and non-rolling, with extra credits not currently purchasable, and on self-hosted instances you bring your own key. Make includes AI features across the plan ladder, including Maia for building by conversation, an MCP server, AI agents in beta and an AI toolkit that can use Make's own provider or your own LLM key.

What are the concurrency limits?

On Make, Free scenarios wait a minimum of 15 minutes between runs while paid plans schedule down to the minute, and priority scenario execution starts at Pro. On n8n, Starter allows five concurrent executions and Pro allows 20, with 200+ reserved for Enterprise, and Business is capped below that while being self-hosted only.

Spot an outdated price or feature? Let us know and we'll verify it.

Heraldware analysis engine

reviewed · data sourced from official product pages · sources: make.com, n8n.io