Zapier vs Make vs n8n for AI Workflows: What 1,000 Leads Actually Consume

The starting price is the wrong comparison

A workflow is a business description. A billable unit is a vendor definition. “Process one lead” might include classification, a lookup, a CRM update, a notification and a follow-up email. Buying capacity for 1,000 leads does not mean selecting a 1,000-task package.

The same distinction applies to AI. Some platforms charge for executing the integration while the model provider bills separately for tokens. Others bundle AI usage into their own variable units. Comparing three entry-level subscriptions without those units rewards the shortest price label, not the cheapest workable system.

A Zapier user reported a bill rising from $30 to $160 after adding AI to three workflows. The useful question is not whether every customer will see that increase. It is which new metered steps, model tier and replay behavior were added to the existing flow.

Put the same lead workflow into each billing model

Use a webhook trigger, one AI classification through a bring-your-own-key connection, one successful CRM action and one successful email action. No branching, extra tool calls or retries are included in this first scenario.

The Zapier count follows its published BYO AI rate and successful-action rules. The Make row states its module-count input explicitly: a webhook, iterator or extra bundle can change that count. Its credits documentation is the authority for the selected connection. n8n's cloud pricing uses workflow executions with unlimited steps.

Run a small batch before quoting the month. If 20 leads produce 80 Make credits, four credits per lead is supported for that path. If some leads expand into five records, use the resulting executed bundles rather than the number of boxes visible on the canvas.

An AI step can have a different rate from an ordinary action

Zapier's current AI by Zapier rates distinguish Standard, Advanced and Premium tiers at one, three and five tasks respectively. BYO-key AI uses one task; extra tool calls have their own task implications. Substituting a five-task AI tier into the simple lead workflow changes the classification-plus-CRM-plus-email count from three to seven tasks per completed lead.

That produces 7,000 rather than 3,000 tasks at 1,000 leads. It is a change in the selected AI tier, not proof that all AI automations cost the same multiplier. Zapier's rate sheet also treats MCP tool calls separately.

For Make, a custom AI-provider connection separates Make's credit usage from the provider's token bill. Native AI can use dynamic credit rules. For n8n, a connected model can likewise have a provider charge beyond the cloud execution subscription. Put the model account on its own budget line instead of assuming a platform subscription pays every API invoice.

Which subscription covers the workload?

Use Zapier, Make and n8n for the selected subscription. The n8n figures are euros, not US dollars. A 10,000-execution month with no remaining headroom needs a separate decision about retries, tests and peaks.

Add the AI-provider estimate using the same model, input size and output size across platforms. Otherwise a cheap platform running a larger model is being compared with a more expensive platform running a smaller one, and the software comparison has become a model-budget comparison.

A warning email is not a hard spending cap

Decide what should happen when an allowance runs out. Zapier documents holding new runs when pay-per-task billing is disabled. That controls extra task spending by stopping work, so the held-run queue must have an owner.

Make documents extra-credit purchases, including automatic purchases. Its pricing-change notice specifies a premium for extra credits. Treat enabled auto-purchasing as permission to spend, not as proof the monthly subscription is a maximum.

Also check successful work that repeats. Zapier's usage guide counts previously successful steps when an entire run is replayed. A CRM write can be both a second task and a duplicate business action unless the workflow checks an existing lead ID. The failure plan needs billing controls and idempotency, not just an alert channel.

Self-hosting shifts the work rather than deleting it

A user rebuilding three Zapier workflows on n8n described a cheap server alongside node-version and restart problems. The server invoice and the time spent restoring a broken workflow belong to different lines of the same operating budget.

For a technical team, that ownership can be worthwhile: you control deployment, debugging and data flow. For a nontechnical team with nobody responsible for backups and upgrades, a low hosting bill can hide an expensive outage. n8n's Community Edition feature list also matters when a production requirement needs a paid capability.

Choose around workflow length and the person who will maintain it

Pick n8n first for long, frequently executed flows when a technical owner can maintain them. Its execution model keeps each extra ordinary step from automatically becoming another cloud billing unit. Pick Make when visual branching and inspecting bundles are central to the team's working style. Pick Zapier when its existing integrations let a nontechnical owner build and support the flow with less custom work.

The purchase test is the same for all three: run a small representative batch, record the actual platform units, add the model invoice, force one failure and inspect what replay does. That gives you a monthly budget and a working recovery path, rather than a subscription that only looked affordable before the AI step.

Do Zapier polling triggers consume tasks?

Its current usage guide says trigger steps do not consume tasks. Do not carry a forum claim about empty polling into the cost model.

Does a Make credit include the model-provider bill?

Not for a custom-provider connection. Track the provider's token charges separately.

Does unlimited n8n workflow steps mean unlimited runs?

No. Step count and execution allowance are separate. The cloud plan still has an execution budget.