A five-step Zap and a five-step Make scenario look identical on a whiteboard. They are not identical on an invoice. One of them can cost five times more than the other for doing the exact same job, and the reason has nothing to do with features — it's how the platform decides what counts as "one thing you did."
We hit this constantly when we're wiring up client reporting, content scheduling, or lead-routing automations. The plan price on the pricing page is never the number that matters. The billing unit is.
Three Platforms, Three Ways of Counting
There are three dominant billing models in workflow automation right now, and each one charges for a different unit of work:
- Zapier counts tasks. Every action step that runs successfully burns one task. The trigger is free; everything after it is not. A Zap that catches a form, formats data, updates a sheet, pings Slack, and creates a CRM record spends four tasks per run.
- Make counts operations (rebranded to credits). Every module that executes, including triggers, filters, and routers, spends one credit. A 10-step Make scenario spends roughly 10 credits per run.
- n8n counts executions. One complete workflow run, start to finish, is one execution — whether the workflow has two nodes or two hundred. A 50-step pipeline and a 2-step webhook hop cost the same. For a practical agency look at how we deploy this in client setups, read our guide on why we use n8n for client pipelines and Zapier for everything else.
What the Same Workflow Actually Costs
Here's a concrete version. A six-step lead-enrichment workflow — webhook trigger, verify email, score the lead, update the CRM, notify Slack, log to a sheet — run 2,500 times a month.
| Platform | Billing Unit | Units Consumed | Plan Needed | Monthly Cost |
|---|---|---|---|---|
| Zapier | Task (actions only) | 12,500 tasks | Professional (20,000-task tier) | ~$240/mo |
| Make | Credit (all modules) | 15,000 credits | Core (two 10,000-credit blocks) | ~$21/mo |
| n8n Cloud | Execution (per full run) | 2,500 executions | Starter (2,500 execution cap) | ~$24/mo |
The gap between the most and least expensive option here is over $2,600 a year for the same workflow. Zapier's team notes that Make's per-step system can climb fast on complex scenarios, while Zapier charges for completed actions rather than individual steps, so what you pay has a more direct relationship to what your automations accomplish. That's a real trade-off — you are paying more per unit with Zapier, but the unit is easier to reason about.
Where Each Model Wins
None of the three models is universally cheaper. Each one rewards a different workflow shape:
- Zapier's task model rewards simplicity. If your automations are two or three steps and stay under a few hundred runs a month, the per-task premium barely shows up. Branching logic or high frequency will multiply task counts against you.
- Make's credit model rewards consolidation. Because a single scenario can absorb multiple triggers and complex branching without spinning up separate Zaps, complex workflows collapse into one scenario. AI-native modules bill variably based on tokens or file size. For lead-enrichment workflows, Make's credit model can be a highly efficient fit. See our comparison of n8n vs Zapier vs Make for media studio workflows.
- n8n's execution model rewards complexity. The more steps you pack into a single execution, the better the unit economics get. The catch: polling-based triggers (like scanning an inbox every five minutes) burn through executions regardless of whether there is new data. A Gmail check every ten minutes runs over 4,000 times a month — enough to exhaust n8n's entry-tier Starter plan on empty checks.
Where Content Teams Get Bitten
This shows up constantly in content operations. A lot of content and social teams now sit content generation (Claude, ChatGPT, Gemini for drafting) next to a scheduling or reporting layer: pull copy from a doc, push it to five platforms, log the post, and ping Slack.
A polling-heavy content pipeline built on the wrong billing model can rack up a similar bill in a completely different line item. Learn how to structure this cleanly in our guide on building your first content pipeline without writing a single line of code. If you are automating your drafting steps, read our report on switching our scripting workflow from ChatGPT to Claude.
A Short Framework Before You Commit
- How many action steps does a typical run touch? If it is two or three, the billing model barely matters — pick based on ease of use.
- How often does it fire, and is it webhook or polling? Polling triggers inflate execution counts on n8n the fastest.
- Are you calling native AI modules inside the automation platform? Native AI modules can carry variable credit charges that are worth pricing separately.
Neither platform is the universal answer. Zapier bets on simplicity and predictability. Make bets on consolidation. n8n bets on complexity absorption.
If your content or social operation is starting to lean on automation platforms for scheduling, reporting, or dashboards, get in touch if you want a second set of eyes on yours.
FAQs
What's the difference between task-based and operation-based pricing?
Task-based pricing (Zapier) charges for each successful action step (excluding the trigger). Operation-based pricing (Make) charges for every module that executes (including the trigger).
Is Make actually cheaper than Zapier?
For workflows with more than a few steps or run at volume, Make is typically three to five times cheaper than Zapier for the same workflow.
What is n8n's execution-based pricing model?
n8n charges per complete workflow run rather than per step inside it. A workflow with 2 nodes and a workflow with 50 nodes each consume exactly one execution per run.
Why did Make.com switch from operations to credits?
Make renamed its billing unit to credits. Standard module executions still cost one credit. The real shift was for AI-native modules, which now bill variably based on token volume, file size, or pages processed.
Which platform is best for a content team?
Simple scheduling workflows are fine on Zapier. Multi-stage pipelines (drafting, approvals, client reporting) usually see better economics on Make or n8n, provided triggers are webhook-based rather than polling.
What is a polling trigger and why does it cost more?
A polling trigger checks a source on a schedule. Every check counts as a billable unit. A workflow checking every ten minutes runs thousands of empty checks a month.
Do automation platforms include AI features in their base pricing?
Make's native AI modules bill at variable credit rates. n8n treats AI runs as regular executions, but LLM API costs are paid to the provider directly. Zapier's AI add-ons are priced separately.
How do I estimate monthly cost before choosing?
Count the action steps, multiply by how many times it fires per month, and check if any triggers are polling-based.