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Make vs Manus
A plain-English comparison to help you choose between them.
Make and Manus automate different halves of the operations backlog: the processes you can draw, and the jobs you can only describe. Pick Make when the automation has real logic in it, branching, loops and error paths built visually across thousands of apps, priced by credits so sophisticated flows stay affordable at volume. Pick Manus when the task is irregular and judgement-shaped, a vendor comparison or a research-and-compile run briefed like a contractor's job, worked unattended in a cloud sandbox and returned as a finished deliverable.
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Side by side
- Summary
Make is visual automation with engineering sensibilities: scenarios built on a canvas where branching, loops, error handling and data transformation are first-class, connecting thousands of apps at credit-based pricing that undercuts the per-task platforms at volume.
AI has become native: agents live inside the scenario builder as reusable, shareable components, with their reasoning and tool calls visible step by step, and a real-time visual map keeps a growing automation estate comprehensible.
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It rewards builders who think in flows: more capable than the simplest platforms, more approachable than code, with credit billing that still compounds at serious scale.
- Best for
- Branching, loops and error handling built visually
- High-volume automation at credit-based pricing
- Reusable AI agents inside scenarios, reasoning visible
- Data transformation between connected apps
- A visual map of the whole automation estate
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Hosted service
- Data
- Per Make's Help Center, "effective august 27th, 2025, we're replacing operations with credits as our billing unit," with existing operations converting 1:1. Standard modules stay at 1 credit, but native AI modules consume credits variably: per one 2026 review, "A workflow with AI Agents can consume 43-50 credits per execution (Small model), versus the few credits of a classic workflow." Extra credits cost 25% more than in-plan (Help Center, updated 6 Nov 2025), for both manual and auto-purchase. The sticker price is not the bill; consider calling AI APIs directly via HTTP for cost control.
- Summary
Manus is an autonomous general agent. Give it a task and it plans and executes end to end in a cloud sandbox, operating a browser, carrying research through to a finished deliverable and building slides and sites along the way. You brief it like a contractor and review what comes back, rather than steering a chat turn by turn.
Usage is credit-metered. A genuinely free plan carries limited monthly credits and the core capabilities, Pro adds a larger allowance and full capabilities, and Team adds a shared credit pool with admin controls, alongside an enterprise push visible in SSO and an API. Ownership is in transition after China's regulator ordered Meta's 2025 acquisition unwound, with the resulting structure still being negotiated.
- Best for
- Delegating whole multi-step tasks rather than prompting turn by turn
- Research runs that end in a finished report, deck or site
- Browser-driven work that gathers, compares and compiles from the live web
- Founders and small teams trying autonomous delegation on a free plan
- Teams that want shared credits and admin controls over agent usage
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Hosted service
- Data
- A closed, cloud-hosted service. Tasks run in Manus's own sandbox, so anything you brief it with leaves your machine, and long unattended runs return research and analysis that need human verification before they inform business, legal or financial decisions. Ownership remains in transition, with China's regulator having ordered Meta's 2025 acquisition unwound and the resulting structure still being negotiated, so compliance-sensitive buyers should check current data-residency and processing terms before confidential material goes in.
Pricing
- Make
Free·from $9·from $16·from $29·Custom
Prices as of August 2026.
- Free
- Free
- Core
- from $9per monthbilled annually; $10.59 per month if billed monthly
- Pro
- from $16per monthbilled annually; $18.82 per month if billed monthly
- Teams
- from $29per monthbilled annually; $34.12 per month if billed monthly
- Enterprise
- Price on applicationno list price published
- Manus
Free·from $20from $20/user
Prices as of August 2026.
- Free
- Free
- Pro
- from $20per monthbilled monthly
- Team
- from $20per user, per month2+ users minimum; billed monthly
By area
Where each one pulls ahead, area by area.
| Area | Make | Manus |
|---|---|---|
| By job | ||
| Founders & entrepreneurs | Make scales an early automation without a per-task cost shock, which is the difference between a habit that survives growth and one that gets switched off | Manus makes the unit of work the deliverable rather than the reply, so delegation replaces the hours a founder cannot spare instead of the thinking they still want to own |
| Operations | Make is operational convenience rather than infrastructure: mission-critical pipelines with hard guarantees eventually belong in engineered systems, and its error handling exists but has to be configured | Manus takes the varied, judgement-shaped work and so complements the automation stack that runs the defined processes rather than competing with it |
| By task | ||
| Automation & agents | Make's credit-based pricing keeps complex high-volume automation affordable, which is the arithmetic that decides whether a process runs constantly or occasionally | Manus turns a written brief into a report, a deck or a working site, so what comes back is the deliverable rather than the machinery that made it |
Common questions
Which is cheaper for steady volume?
Make, and it is not close: its credit-based pricing undercuts the per-task platforms at volume, while Manus's metered agent runs are the wrong economics for high-volume routine automation by its own positioning. The caveat is that Make's credits still compound at extreme volume, so data-heavy scenarios iterating over large sets need the arithmetic done before they scale.
Do Make's built-in agents close the gap?
Partly. AI agents now live inside Make's scenario builder as reusable, shareable components with their reasoning and tool calls visible step by step, which brings judgement into defined flows and keeps it inspectable. What they do not replace is the unscoped whole job, browsing supplier portals, comparing options, writing the recommendation, which is the general agent's ground.
What oversight does each demand?
Make's risk is invisible complexity: error handling exists but needs actually configuring, and a fifty-module scenario nobody documented is production infrastructure with a bus factor of one. Manus's risk is confident polish, since an unattended run reports errors as convincingly as findings, so outputs get verified before decisions ride on them, and with ownership in transition, data-residency terms deserve a check before confidential material goes in.
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Tool facts last checked August 2026