# Manus vs QA.tech

Manus records 19,195,779 monthly visits with -1.7% month-over-month growth and Free Trial pricing. QA.tech records 30,550 monthly visits with -4.4% growth and Paid, Contact for Pricing pricing.

| Metric | [Manus](https://openaitools.app/tool/manus) | [QA.tech](https://openaitools.app/tool/qa-tech) |
| :--- | :--- | :--- |
| Website URL | https://manus.im | https://qa.tech |
| Categories | AI Assistant, AI Agent, AI Copilot | AI Testing, AI Agent, AI Developer Tools, AI Productivity Tools |
| Pricing Model | Free Trial | Paid, Contact for Pricing |
| Monthly Visits | 19,195,779 | 30,550 |
| MoM Growth Rate | -1.7% | -4.4% |
| Primary Market | Brazil | Sweden |
| Direct Visits | 10,563,180 | 21,231 |
| Review Score | 4.6 | 4.3 |
| Saved Count | 10 | 0 |
| Supported Platforms | Website | Website |

## Manus

Manus positions itself as an "action engine" rather than a chatbot. You describe an outcome, and the agent breaks it into steps, decides which tools to use, browses the web when it needs current information, and assembles the final deliverable in a cloud sandbox. Typical outputs include presentation decks, working websites and small games, generated images and video, and long-form research reports assembled through its Wide Research workflow.

The product ships as a mobile app (iOS and Android), a desktop app, and a browser extension, plus a web console with an API for programmatic use. A Slack integration lets teams dispatch tasks from chat, and workspace features such as team plans and SSO make it viable inside organizations rather than only for individuals. Because the agent runs asynchronously, a common pattern is to queue a task, walk away, and review the result later.

Pricing combines a free trial-style entry point with paid subscription tiers and a business plan; exact credit allowances and seats change over time, so confirm current terms on the official pricing page. The obvious trade-off is control: autonomous agents can misread intent or burn credits on the wrong approach, so clear briefs and intermediate review matter.

**Pricing & Plans:** Free trial available, with paid subscription tiers and a business plan for teams and higher usage. Credit allowances and seat details change, so check the official pricing page.

- **Autonomous task execution:** Give the agent a goal and it plans the steps, chooses tools, and works through the task in a cloud environment without constant supervision.
- **Deliverable generation:** Produces finished artifacts such as slide decks, functional websites, small games, and formatted documents rather than raw text.
- **Wide Research:** Runs broad, multi-source investigations and compiles the findings into a structured report.
- **Media creation:** Generates images, video, and music as part of a larger task or as standalone outputs.
- **Integrations and API:** Connects to Slack for task dispatch, offers mobile and desktop apps, and exposes an API for embedding agent work in your own stack.

**Strengths:** Delivers finished artifacts instead of only conversational answers; Works across web, mobile, desktop, Slack, and API surfaces; Wide Research handles broad multi-source investigations well; Team plans and SSO make it usable in organizational settings

**Limitations:** Autonomous runs consume credits and can pursue the wrong approach if the brief is vague; Complex tasks benefit from human review at checkpoints; Output quality varies by task type, especially outside common formats

[Profile (Markdown)](https://openaitools.app/tool/manus.md)

## QA.tech

QA.tech positions itself as the verification layer for teams shipping software with heavy AI assistance: coding got much faster, but review and QA did not keep pace. Instead of maintaining a fragile library of selectors and scripts, QA.tech runs autonomous agents that open your live web or native mobile app, work toward goals the way a person would, and report back on what actually works before code is merged.,The product is built around continuous, dynamic testing rather than one-off suites. Connect GitHub, GitLab or Bitbucket and a CI provider, and agents automatically pick up each pull request together with its preview environment, run end-to-end and exploratory passes, and comment on the PR with results. When something fails, you get screenshots, console and network activity and the agent's reasoning at the point of failure, which shortens time to root cause considerably.,Testing is also context-aware over time. Journeys and domain rules you spell out in chat accumulate as knowledge the agents reuse on every later run, and a blast-radius view flags changes that ship untested because a required test user or journey is missing. The platform is cloud-native, needs no code access, and is targeted at QA leads, engineers, CTOs and DevOps teams; Vercel Ventures and founder investors back the company. Pricing is not published as a simple self-serve number — teams book a demo, though a free getting-started path is offered.

**Pricing & Plans:** Enterprise-style, contact-for-pricing model: the site offers a free getting-started path and a demo booking rather than public per-seat numbers, so exact costs depend on team size, coverage scope and mobile testing needs.

- **Plain-language test authoring:** Describe a journey or rule in chat and the agent turns it into durable test cases that survive refactors and redesigns.
- **PR-level verification:** Every pull request gets a dynamic exploratory pass with preview environments, failure breakdowns, screenshots, console and network logs.
- **Web and native mobile:** Agents target real browsers and native iOS and Android apps, so coverage reaches beyond the web front end.
- **CI, Git and issue-tracker integrations:** Findings flow into Jira and Linear, and agents can be queried over MCP by other coding agents.
- **Blast-radius analysis:** Detects when changes to a module are untested and recommends the exact journeys or test users needed to close the gap.

**Strengths:** Agents test visually without selectors, so suites survive redesigns and framework migrations; Runs automatically on every pull request with preview environments; Plain-English test authoring is accessible to non-engineers; Rich failure evidence — screenshots, logs, network data and agent reasoning

[Profile (Markdown)](https://openaitools.app/tool/qa-tech.md)

## Frequently Asked Questions

### How do Manus and QA.tech compare in monthly traffic?

Manus has 19,195,779 monthly visits, while QA.tech has 30,550. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Manus has a month-over-month growth rate of -1.7%; QA.tech has -4.4%.

### How does pricing compare?

Manus: Free Trial. Free trial available, with paid subscription tiers and a business plan for teams and higher usage. Credit allowances and seat details change, so check the official pricing page. QA.tech: Paid, Contact for Pricing. Enterprise-style, contact-for-pricing model: the site offers a free getting-started path and a demo booking rather than public per-seat numbers, so exact costs depend on team size, coverage scope and mobile testing needs.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | +2.2% | Freemium | Provides powerful reasoning agents and deep research, but lacks Manus's specialized continuous cloud workspace execution. | [.md](https://openaitools.app/tool/chatgpt-4.md) |
| 2 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Features advanced computer use and interactive artifacts, but operates primarily as a chat assistant rather than a dedicated autonomous agent platform. | [.md](https://openaitools.app/tool/claude-2.md) |
| 3 | [Muse](https://openaitools.app/tool/muse-ai-1) | 45,751,822 | +228.3% | Contact for Pricing | Executes tasks using cloud virtual Linux machines, but focuses more on personal desktop automation than complex multi-app research. | [.md](https://openaitools.app/tool/muse-ai-1.md) |
| 4 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | Provides open-source personal task automation, but lacks the polished cloud sandbox environment of Manus. | [.md](https://openaitools.app/tool/hermes-agent-1.md) |
| 5 | [Runable](https://openaitools.app/tool/runable) | 1,048,370 | -1.9% | Freemium | Automates multi-step workflows and asset creation, but with fewer built-in general browser navigation tools. | [.md](https://openaitools.app/tool/runable.md) |
| 6 | [Skywork.ai](https://openaitools.app/tool/skywork-ai) | 1,021,069 | -11.8% | Freemium | Converts prompts into structured office deliverables, but acts primarily as a document generation workspace. | [.md](https://openaitools.app/tool/skywork-ai.md) |
| 7 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) |
| 8 | [LibreChat](https://openaitools.app/tool/librechat) | 346,879 | -3.5% | Free | Unites multiple models and custom agents in a self-hosted workspace, but lacks pre-built autonomous execution sandboxes. | [.md](https://openaitools.app/tool/librechat.md) |
| 9 | [Lindy](https://openaitools.app/tool/lindy) | 323,329 | -0.2% | Freemium, Contact for Pricing | Deploys autonomous business agents for operational work, but targets enterprise workflows rather than general open-ended research. | [.md](https://openaitools.app/tool/lindy.md) |
| 10 | [Qase](https://openaitools.app/tool/qase) | 319,213 | -25.5% | Freemium, Free Trial, Contact for Pricing, Free | Ship with confidence: one system of record for manual, automated, and CI tests | [.md](https://openaitools.app/tool/qase.md) |

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Source: https://openaitools.app/compare/manus-vs-qa-tech

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