Head-to-head

Manus vs Devin

Both promise finished work instead of endless chat, but one is built to produce deliverables across knowledge work and the other is built to act like delegated engineering labor.

Last updated April 2026 · Pricing and features verified against official documentation

Manus and Devin both sit in the new category of tools that want to do work, not just talk about it. That makes them easy to confuse at a glance. The real difference is that Manus is trying to be a broad execution layer for prompts that end in slides, sites, research, or automation, while Devin is trying to be a managed engineering worker that takes tickets, edits code, and ships pull requests.

Manus feels like the wider product. It is built for users who want an agent to go off, assemble something tangible, and come back with a deliverable they can inspect. Devin is the narrower but more serious engineering system. It assumes the work already lives in repositories, branches, reviews, and repeatable change patterns, and it treats autonomy as capacity rather than spectacle.

The choice is not between two equivalent agents. It is between a general execution workspace and a coding-first labor system.

The Core Difference

Manus is the better product when the job is to turn a prompt into a finished artifact across many kinds of work. Devin is the better product when the job is to turn an engineering ticket into reviewed code with as little human handling as possible.

That difference shows up everywhere else. Manus is broader, more theatrical, and more tolerant of mixed use cases. Devin is narrower, more disciplined, and better aligned with the routines of software teams that already know how to review and merge code.

Scope Of Work

Manus wins on breadth. Its current product spans chat, autonomous task execution, browser operation, slide generation, website building, Wide Research, desktop access, and mobile access, which makes it appealing when the output needs to be a deck, a report, a page, or a workflow. It is strongest when the buyer does not want to think about whether the work is “coding” or “research” or “ops” and just wants the result.

Devin wins on depth inside software work. Its surface area is smaller, but that is the point: autonomous sessions, Devin IDE, Ask Devin, Devin Wiki, Devin Review, scheduled runs, and API access all point toward a managed engineering workflow. If the task ends in a PR, a refactor, a test fix, or a backlog cleanup, Devin is the more believable machine.

Workflow And Review

Devin wins decisively. The product is built around reviewable engineering output, and recent additions like Devin Review, code changes from chat, draft PR support, and commit-status visibility make it easier to inspect what the agent did before anything lands. That matters because the product is selling delegated labor, and delegated labor only works if the review loop is tight.

Manus has its own task monitoring and collaboration features, but it is still centered on finishable artifacts rather than engineering process. That makes it more flexible for mixed knowledge work, but less convincing when the real concern is whether an autonomous system can operate safely inside a software delivery pipeline.

Pricing

Devin wins on pricing clarity, even though it is still the more expensive-looking product once usage rises. Core starts at $20 and is explicitly tied to Agent Compute Units, Team starts at $500 per month with included ACUs, and Enterprise is custom. You may not love the meter, but you can at least understand what is being charged and why.

Manus is easier to try and harder to budget. It has a free tier, but the public pricing story is less stable: the help center references Pro and Team plans, yet the crawlable pricing page is less transparent than Devin’s and the exact list price is easier to lose than to trust. That is acceptable for casual experimentation. It is a weakness if you need to forecast spend for a team.

Privacy

Devin has the cleaner enterprise-default story. Cognition says customer data is not used for model training by default unless you opt in through Data Controls, and enterprise customers are not trained on at all under their agreements. That is a simpler promise for software teams that need to justify access to code, tickets, and chat.

Manus is respectable on business plans, with Team and Enterprise saying customer data is not used for model training and with security badges like SOC 2 Type I and Type II plus ISO 27001 and ISO 27701. The weaker part is the individual-plan story, where Manus says it may use aggregated or de-identified information to improve services. That is not alarming, but it is less clean than Devin’s default posture for serious work.

Who Should Pick Manus

• The operator, founder, or strategist who wants an agent to produce something tangible should pick Manus because it is built for decks, websites, reports, and prompt-to-deliverable workflows.
• The small team that mixes research, presentation, and light automation should pick Manus because it can cover more of the workflow from one interface instead of forcing a separate tool for each step.
• The buyer who wants to experiment with agentic work before committing to a software-specific platform should pick Manus because the free tier and broader scope make it a lower-friction entry point.

Who Should Pick Devin

• The engineering manager who wants backlog reduction should pick Devin because it is built to take scoped code work and return something reviewable.
• The platform or infrastructure team that already runs disciplined PR review should pick Devin because the product is strongest when human review is the final gate, not the first line of defense.
• The organization buying AI as capacity should pick Devin because it behaves more like an additional engineering worker than a broad assistant.

Bottom Line

Manus and Devin are both serious attempts to move AI from conversation to execution, but they are built for different end states. Manus wants to turn prompts into finished work across a wide range of tasks. Devin wants to turn engineering tickets into merged code with minimal drag on the team.

If your work ends in slides, sites, research packets, or cross-functional deliverables, Manus is the better bet. If your work ends in pull requests, refactors, and repetitive code changes, Devin is the better bet. The product you want is the one that matches the kind of output you actually have to ship.

Pricing and features verified against official documentation, April 2026.