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Short answer: Start with Zapier when you need a quick connection between familiar apps and mostly linear, multi-step automations. Choose Make when your process needs a visual scenario, branches, routers, data transformations, or more explicit control over execution. Neither is automatically cheaper: Make bills credits and Zapier bills successful tasks, and the result depends on your app actions, run volume, billing term, and plan limits. Build one representative workflow in both products, test a normal run and a failure, then compare measured monthly usage before committing. The prices and feature lists below reflect vendor pages captured in October 2026; check the live plan selector for your country and billing choice.
What is the practical difference between Make and Zapier?
Both services connect cloud applications so an event in one system can trigger work in another. The important difference is how much control you want over the workflow’s shape and how each service measures usage.
| Decision factor | Make (formerly Integromat) | Zapier |
|---|---|---|
| Workflow model | Visual scenario builder with branching and routing emphasized by Make. | Multi-step Zaps with logic branches and a broad app catalog. |
| Vendor-stated app catalog | 3,500+ apps on Make’s comparison page. | 9,000+ apps on Zapier’s pricing page. |
| Usage meter | Credits consumed by scenario actions; most actions use one credit, while some advanced AI-provider features can use more. | Tasks consumed when a Zap successfully moves data or completes an action; rates vary, and several built-in tools use zero tasks. |
| Best starting fit | Processes with branches, iterators, routers, complex mapping, or technical ownership. | Common app-to-app workflows that should be assembled and maintained quickly. |
| Evidence caveat | These positioning statements and catalog counts come from vendor pages, not an independent head-to-head usability or reliability test. | |
Use the table as a starting heuristic, not a verdict. An apparently simple workflow can become expensive or fragile if it runs thousands of times, while a technically elaborate process may be inexpensive if it runs only occasionally.
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How do Make credits and Zapier tasks actually work?
They are similar concepts—metered units for automation work—but they are not interchangeable. Estimate each platform separately using the exact trigger, actions, loops, searches, and AI features in your workflow.
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Make credits
Make’s pricing page defines credits as its billing unit. It says each action a scenario performs consumes credits; most actions consume one credit, while some advanced features that use Make’s AI Provider may consume more. A loop or iterator can therefore multiply the number of counted actions in a single scenario run. Confirm the current operation cost in the scenario inspector and plan selector rather than assuming every module has the same rate.
Make’s captured 2026 pricing page shows a Free allowance of up to 1,000 credits per month. The same page displays Core at $12 per month for a 10,000-credit selection. Make’s comparison material shows a different $9 starting figure for Core at 10,000 credits on annual billing, so those numbers must not be presented as one universal price. Check the billing toggle, region, promotion, and checkout total at Make’s pricing page.
Zapier tasks
Zapier describes a task as work completed successfully by a Zap. Triggers do not count toward task limits. A standard action generally uses one task, but some actions and AI or lead-routing features can use more. Zapier’s task-rate reference lists Formatter, Paths, Filters, Delay, Looping, Sub-Zaps, Digests, Zapier Manager, Storage, Tables, and Forms as built-in tools that use zero tasks under the stated rules; rates can change as capabilities evolve. See the current schedule at Zapier’s task-usage rates.
A clearly hypothetical comparison
Suppose a new form submission must be checked, written to a customer database, and sent to a team chat. Assume the automation performs four counted scenario actions in Make, and that the equivalent Zap contains three billable app actions plus a built-in Filter.
| Assumption for one successful run | Make | Zapier |
|---|---|---|
| Data check/filter | Count according to the Make module’s current credit rule. | Filter uses zero tasks under Zapier’s listed built-in-tool rules. |
| Database write | One counted action in this example. | One task if the action succeeds. |
| Team-chat message | One counted action in this example. | One task if the action succeeds. |
| Other assumed action | One counted action in this example. | One task if applicable. |
| Illustrative total | Four assumed credits; verify every module. | Three tasks, because the Filter is assumed to be a zero-task built-in. |
This is not a benchmark or a promise of exact billing. Searches that return multiple records, repeating groups, error handlers, and AI calls can change the total dramatically. Multiply the measured units per run by expected monthly runs, then add headroom for retries and growth.
Which platform is cheaper in 2026?
There is no reliable winner without matching workload and billing terms. Compare the plan that covers your measured monthly units, not the lowest headline number.
| Published figure (USD) | What the vendor page states | Qualification |
|---|---|---|
| Make Free | Up to 1,000 credits per month. | Captured on Make’s 2026 dynamic pricing page; limits and included features can change. |
| Make Core | $12 per month for a 10,000-credit selector state. | Captured pricing-page state; billing term, location, and selector settings matter. |
| Make Core alternative figure | $9 starting price for 10,000 credits. | Shown in Make’s comparison material as an annual-billing figure; it conflicts with the $12 dynamic-page capture. |
| Zapier Professional | Starting at $19.99 per month. | Zapier pricing-page capture from 2026; verify task tier and billing period. |
| Zapier Team | Starting at $69 per month and lists 25 users. | Captured plan details; included limits and regional pricing may change. |
| Zapier Enterprise | Custom pricing. | Requires a sales conversation and depends on requirements. |
The conflicting Make figures may reflect annual versus monthly billing, different selector states, or a page update. Treat neither as a guaranteed checkout price. Zapier’s $19.99 Professional figure likewise describes a starting point rather than the cost of every task volume or feature combination. Compare equivalent annual or monthly terms, include overage rules, and price any separate AI-provider usage.
How should I compare workflow design and complexity?
Draw the workflow before choosing a builder. If it is a straight line—trigger, transform, create, notify—either platform may fit. If records can take different paths, the visual layout and debugging model become more important than the app count.
Linear workflows
A linear Zap or scenario is easy to specify: a new row triggers a lookup, a record is created, and an email is sent. Check field mapping, authentication, rate limits, and what happens when a lookup returns no result. A large catalog does not guarantee the precise trigger or action you need.
Branching and routing
Make’s comparison page presents its scenario builder and visual branching control as a fit for complex workflows. Zapier’s product pages describe multi-step Zaps with logic branches. In either product, write down every branch condition and its fallback. Test mutually exclusive conditions, a record that matches none, and a record that matches more than one path.
Loops, searches, and data volume
Count how many records a search can return and whether the workflow loops over each one. A single incoming event can produce many downstream actions, multiplying credits or tasks. Set limits, deduplicate identifiers, and decide whether partial completion should be retried or sent to a review queue.
Which service supports my apps and actions?
Zapier currently advertises more than 9,000 app integrations, while Make’s comparison page lists more than 3,500. These are vendor counts with potentially different definitions and update schedules, so they are not a quality ranking.
- Write the exact trigger you need, such as “new paid order,” not merely the app name.
- List every required action, search, update, webhook, and file operation.
- Check whether each operation is available on the plan you would buy, not only on an enterprise tier.
- Confirm authentication method, object fields, pagination, attachment handling, and rate limits.
- Run a test with a real-shaped record, including optional fields and a deliberate failure.
If a native connector is missing, both ecosystems may offer webhooks or partner-built integrations, but those paths can require API knowledge and maintenance. Do not select a platform solely because its catalog number is larger.
What team, security, and governance features should I check?
Solo builders need reliable ownership; teams need permissions, shared assets, auditability, and predictable support. Match the controls to the people who will maintain the automations.
| Need | Questions to ask before purchase |
|---|---|
| Sharing | Can teammates share workflows, folders, connections, and credentials without copying secrets? |
| Permissions | Can you limit who edits, publishes, deletes, or views sensitive data? |
| Identity | Is SAML single sign-on included at the required tier? |
| Operations | Are run history, error details, retries, alerts, and retention sufficient for your audit needs? |
| Support | What response level and support channels apply to the plan you can afford? |
| Seats | Does the plan’s user allowance cover employees, contractors, and administrators? |
Zapier’s captured Team description lists 25 users, shared Zaps and folders, shared app connections, SAML SSO, and priority support. Make describes team roles on Teams and broader enterprise controls. Exact entitlements can change; verify the current plan pages and contract before moving production credentials.
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Compare the specific AI operation you need, not a feature label. Make’s pricing material lists AI tools and agents, while Zapier describes platform AI and separate products whose limits and task rules vary by plan.
- Identify the model or provider, prompt volume, and data classification.
- Check whether an AI step consumes additional Make credits or multiple Zapier tasks.
- Price provider charges separately when the platform passes usage through to an external model.
- Test structured output, timeouts, hallucinated fields, and retries before allowing an AI result to update records automatically.
- Define a human-review branch for low-confidence or sensitive decisions.
Because AI entitlements change quickly, confirm the live documentation for the exact agent, action, model, and plan combination.
How can I run a fair Make-versus-Zapier trial?
A short pilot using your own workflow gives better evidence than a feature checklist. Keep the input data and success criteria identical in both products.
- Select one representative process. Choose a workflow that runs often enough to reveal usage, includes at least one real mapping step, and matters to the team.
- Document the expected path. Record trigger frequency, average records per run, branches, searches, attachments, AI calls, and acceptable delay.
- Rebuild it in both tools. Use equivalent app accounts, fields, filters, and safeguards. Note any workaround or unsupported operation.
- Test normal and abnormal runs. Include missing data, duplicate events, an API error, a timeout, and a permission failure. Record the recovery steps and notifications.
- Measure usage. After representative runs, inspect Make credit consumption and Zapier task usage. Extrapolate monthly demand with a growth margin.
- Check plan ceilings. Verify task or credit limits, overage behavior, history retention, concurrency, polling intervals, and team controls.
- Hand it to the maintainer. Ask the person who will own the automation to modify a field, diagnose a failed run, and restore credentials.
- Make a total-cost decision. Include subscriptions, AI-provider charges, additional seats, implementation time, and the cost of a missed or duplicated action.
When should I choose Make?
Make is the stronger starting candidate when your workflow benefits from a visual map and explicit branching. Consider it when:
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- You need iterators, aggregators, routers, or detailed data transformations.
- A technical owner is comfortable inspecting module inputs and outputs.
- You want to reason about each scenario action and its credit consumption.
- Your required connector and operations are available at the selected tier.
That fit does not guarantee lower cost or easier maintenance. A scenario with loops, retries, and AI modules can consume credits quickly, so measure it.
When should I choose Zapier?
Zapier is a practical first choice when your process is mostly linear and the needed apps already have mature actions. Consider it when:
- You want to assemble a multi-step automation with familiar app cards and minimal custom logic.
- Your team values a very broad connector catalog and shared workflow administration.
- Built-in tools such as Filters, Paths, Formatter, Tables, or Forms can handle logic without task charges under current rules.
- The Professional or Team plan covers your measured task volume and governance requirements.
Do not assume a zero-task built-in means the entire workflow is free: the app actions that move or change data still consume tasks, and some actions use more than one.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What are the main failure modes and fixes?
Unexpected usage spikes
Find loops, broad searches, retries, and duplicate triggers. Add deduplication, cap returned records, and alert when daily usage crosses a threshold.
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Missing or changed fields
Pin down required fields, handle null values, and retest after the source app changes its schema. Keep a sample payload and a documented mapping.
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Silent partial completion
Use explicit error paths, run alerts, and a review queue. Record an idempotency key so a retry does not create a second order, ticket, or payment record.
Credential or permission failures
Use shared connections or service accounts where policy permits, document ownership, and test credential rotation before the original token expires.
AI output that breaks downstream steps
Require structured output, validate types and allowed values, and route invalid responses to a human rather than retrying indefinitely.
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What is the final decision framework?
Choose the platform that passes all four gates: exact connector coverage, predictable metering for your measured workflow, adequate governance, and an owner who can troubleshoot it.
| If your priority is… | Start by evaluating… |
|---|---|
| Fast linear app connections | Zapier, then verify task volume and plan limits. |
| Visual branching and complex routing | Make, then inspect credit use for loops and advanced modules. |
| Lowest apparent subscription | Neither by headline alone; calculate equal billing terms and real units. |
| Large app selection | Zapier’s listed 9,000+ catalog, while checking your exact operations. |
| Technical scenario control | Make’s visual builder and module-level execution model. |
| Team administration | The plan whose seats, permissions, SSO, support, and retention match your policy. |
Before signing up for a larger tier, recreate one real workflow in both products and monitor it through normal and failed runs. Recheck Make’s current plans, Zapier’s current plans, and Zapier’s task rules because prices, limits, app actions, and AI metering are changing product details.
Frequently Asked Questions
Can I move an existing Zapier automation to Make without rebuilding it?
There is no universal one-click conversion you should assume. Recreate the trigger, mappings, filters, branches, credentials, and error handling, then compare a set of identical test records before switching production traffic.
Do Make credits expire if I do not use them?
The allowance and any rollover or expiration rules depend on the current Make plan terms. Check the plan’s billing details rather than assuming unused monthly credits carry forward.
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Free-plan app access, task limits, polling intervals, and feature caps can change. Verify the current plan selector for each app and action you intend to use before designing around it.
How should I protect personal data in either automation platform?
Minimize fields sent between services, use least-privilege connections, and document retention and deletion requirements. For regulated data, review each vendor’s security, processing, residency, and contractual terms with your organization’s legal or security team.
Quick Recap
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