The same idea pointed at different jobs
I keep seeing Manus and Devin lined up against each other, and I get why. Both run on the same promise: hand the agent a goal, walk away, come back to finished work instead of a chat thread. Neither asks you to approve every step. But the moment you look past that shared headline, they stop competing. Manus is a general-purpose autonomous agent. Devin is an autonomous software engineer. The question is not which one is smarter. It is which job you are trying to hand off.
How they actually differ
Manus is the go-figure-it-out agent. It runs inside its own virtual computer, writes a plan, then executes by browsing the web, opening pages, running code, and assembling files while you watch the steps stream by. That makes it strong on open-ended knowledge work. Tell it to map a market and it visits competitor sites one by one, pulls pricing and positioning off each, and builds the comparison itself rather than dumping ten links on you. It handles messy datasets, drafts documents, gathers and organizes research. The work happens in the background, so you start a job, close the tab, and return to an artifact.
Devin goes narrow and deep into one domain, which is writing software. You assign it a ticket the way you would file a Jira card. It reads the repository, plans an approach, edits across multiple files, runs the test suite, reads the stack trace when something fails, fixes the offending code, and runs again. It lives in its own dev environment with a shell, a browser, and an editor, so it executes and verifies instead of just suggesting the next line. On bounded work, a bug with a clear reproduction, a small feature, test coverage for code that has none, a mechanical library migration, it behaves like a junior engineer who never sleeps and keeps a session log of what it tried.
Pricing compared
Both bill on consumption, which is the part people underestimate. Manus has a limited free allowance and paid plans starting around $20/month, then charges credits tied to how much work a task takes. A quick lookup costs little. A long multi-stage run that browses dozens of pages and runs many code steps draws hard on the same pool, so a handful of heavy jobs can spend a month's allowance faster than the headline suggests.
Devin starts around $20 to begin and then bills compute units burned as it works. A tightly scoped ticket that lands on the first or second try is cheap. A sprawling task where it churns and rewrites the same files burns units with little merged at the end. With both, you pay for work attempted, not work shipped, and the entry price sits in front of costs that scale with how hard you push. Two people can spend wildly different amounts on the same tool depending on how well they write the brief.
Where each one wins
Manus wins on the task you will run once and cannot fully specify in advance. Competitive analysis, market research, data gathering and cleanup, a finished draft you would otherwise spend an afternoon assembling by hand. Its reach is the point, and its weakness is the cost of that reach. A vague brief locks in early and a small misunderstanding can run for many steps before it surfaces.
Devin wins on a backlog of defined engineering work when you have more tickets than hands. Routine refactors, dependency bumps, bug fixes, test coverage. Teams that already write clear tickets get value immediately, because the input it wants is the format they already produce. It does not push back on a bad premise, so a wrong-pointed ticket gets built competently in the wrong direction.
Which to choose by use case
There is almost no real overlap here, so the choice is usually obvious once you name the work. Need open-ended research, analysis, or content produced end to end? That is Manus. Have software tickets to offload to an agent that writes, tests, and fixes code unattended? That is Devin. If you want an in-editor pair programmer reacting to every keystroke, neither fits and a tool like Copilot or Cursor does. The one habit that pays off across both is the same: define the deliverable precisely up front, and read what comes back before you ship it.