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9 min read·Last reviewed for accuracy · 2026-09-07·Prices verified · 2026-09-12

Automation Platforms Have Switched to Credits. Your Old Budget Does Not Apply

Zapier unified task-based pricing across AI, code and SDK steps. n8n prices executions and AI credits separately. Lovable bills 0.5 to 1.7 credits per prompt. The unit of billing moved, and most budgets did not.

The article text carries the review date. The rate table below is rebuilt from the live catalogue on every deploy.

Fastest win

Find the unit before you find the price. In this category the vendors bill tasks, executions, credits, or some combination, and a workflow that costs one task on one platform can cost a dozen credits on another. Comparing monthly plan prices across these tools without normalising the unit tells you nothing.

What the vendor pages now say

Captures from 1 September 2026 record a category-wide move to consumption units. Zapier has unified its pricing so that AI steps, code and SDK all follow the same task-based model, with usage measured in tasks across all features and tiers running from 100 to two million tasks.

n8n lists Starter at €20/month billed annually for 2,500 executions and 2,300 AI credits, Pro at €50/month for 10,000 executions and up to 13,700 AI credits, and Business at €667/month, with a Start-up plan at 50% off Business for companies under 20 employees. The Community Edition remains available, and the free trial gives Pro features at Starter limits.

UiPath starts at $25/month for a Basic plan aimed at individuals and small teams, with Standard and Enterprise requiring a sales conversation. Lovable prices in credits outright and — unusually, and to its credit — publishes example costs: simple UI changes at 0.5 to 0.9 credits, adding authentication at 1.2 credits, building a landing page with images at 1.7 credits, and one credit per message in Plan Mode.

Why the unit change matters more than the price change

A seat price answers "what will this cost?" A credit balance answers "what will this cost if nothing changes?" Those are very different promises, and the second one is the one you are now being sold.

The risk is not that credits are expensive. Often they are cheap. The risk is that consumption is a function of how much your team uses the tool, and successful adoption of an automation platform looks exactly like a cost overrun until you can attribute it.

This is where Lovable's published per-action costs earn a mention. Knowing that a landing page costs about 1.7 credits lets you forecast. A vendor that gives you a credit balance and no per-action figures has handed you a budget you cannot build.

Cheapest honest entry

Self-hosted or low-tier automation, priced per execution

n8n's Starter tier is €20/month billed annually for 2,500 executions and 2,300 AI credits, and the Community Edition remains available. When your volume is knowable, an execution-priced plan is easier to forecast than an open-ended credit balance.

Normalise before you compare

Pick three workflows you actually run. A form-to-CRM sync. A document summarisation job. An approval routing flow with an AI classification step.

For each platform you are considering, work out what one run of each workflow consumes in that platform's unit — tasks for Zapier, executions plus AI credits for n8n, credits for Lovable — and multiply by your real monthly volume. Only then look at the plan tiers.

You will usually find the ranking changes. A platform with a higher plan price and a generous unit can be cheaper than a cheap plan that charges a task per step in a ten-step workflow. This exercise takes an afternoon and is the single most useful thing on this page.

The AI step is often the expensive part

Notice that n8n prices executions and AI credits as separate quantities. That separation is honest, and it points at something worth acting on: the automation is cheap and the model call inside it is not.

If a workflow's AI step is a simple classification or extraction, ask whether it needs to run through the platform's credit system at all. Calling a cheap model directly and passing the result back into the workflow can cut the AI portion substantially, at the cost of a little more plumbing.

That trade is not always worth it. A platform-managed AI step is easier to maintain and easier for non-engineers to change. But you should make that trade knowingly, and right now most teams are making it by default because the AI step was the easiest box to drag onto the canvas.

Governance that fits consumption pricing

Seat-based governance asks "who has a licence?" Consumption-based governance has to ask "what is running, how often, and who owns it?"

Three rules cover most of it. Every scheduled automation has a named owner. Every automation has a documented expected monthly run count, checked against actual. Any automation that can trigger itself in a loop has a hard cap.

That third rule is not theoretical. The cheapest way to discover consumption pricing is a recursive workflow that ran forty thousand times over a weekend, and the fix costs nothing to put in place beforehand.

Ranked recommendation

Best for predictable, knowable volume: an execution-priced plan such as n8n Starter at €20/month annually for 2,500 executions, or the Community Edition if you can host it.

Best for broad, non-technical adoption across a business: Zapier's unified task pricing, precisely because one unit across AI, code and SDK steps makes the bill explicable to people who will never read a pricing page.

Best for build-style AI work: Lovable, on the strength of published per-action credit costs — but forecast at your real prompt volume, because 1.7 credits per landing page adds up faster than it reads.

Avoid: comparing monthly plan prices across these vendors without normalising the unit first, and running any self-triggering automation without a cap. Confirm current figures on each vendor's pricing page — these were captured on 1 September 2026 and this category moves.

Key Takeaways

  • Zapier now bills AI, code and SDK steps under one task-based unit, from 100 to 2M tasks
  • n8n separates executions from AI credits: Starter €20/month annually for 2,500 executions and 2,300 AI credits
  • Lovable publishes per-action credit costs — 0.5–0.9 for a UI change, 1.2 for auth, 1.7 for a landing page
  • Normalise workflows into each platform's unit before comparing plan prices; the ranking usually changes
  • Cap any automation that can trigger itself — consumption pricing turns a loop bug into an invoice

Editorial context

Who is this for?

Operators running AI-assisted automation who are being asked what it will cost next year.

When NOT to use this

Teams running a handful of automations a month. At that volume every plan here is cheap and the effort is better spent elsewhere.

Pricing insights

Credit pricing shifts cost risk from the vendor to you. A seat price is a cap; a credit balance is an estimate. The tools that publish per-action credit costs are doing you a favour, even when the numbers look fiddly.

Alternatives to consider

A self-hosted community edition, a lower tier plus deliberate volume control, or moving the AI step out of the automation platform and onto a direct API call you price yourself.

Final verdict

Re-forecast at your actual monthly execution count, not at the plan you bought. Then check whether the AI steps inside those executions should be billed by the platform at all.

Frequently Asked Questions

Is credit pricing worse than seat pricing?

Not inherently. It is fairer when usage is uneven and riskier when usage is unmanaged. What makes it worse in practice is buying it without per-action costs, because then you cannot forecast.

Should we self-host n8n to avoid the plan cost?

Only if you have someone who will maintain it. The Community Edition is free of licence cost, not free of operational cost, and an unmaintained automation host is an outage waiting for your busiest week.

How do we stop automation spend creeping?

Name an owner for every scheduled automation, record an expected monthly run count, and check actual against expected once a quarter. Most creep is automations nobody remembers creating.

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