Open WebUI vs Manus
A side-by-side comparison to help you choose the right tool.
86
Open WebUI scores higher overall (86/100)
But the best choice depends on your specific needs. Compare below.
| Feature | Open WebUI | Manus |
|---|---|---|
| Our score | 86 | 82 |
| Pricing | Open-source software; hosting and infrastructure are your responsibility. | Free tier with limited task credits. Starter plan around $39/month for higher concurrency and usage limits. Professional plan around $199/month with team collaboration and priority execution. Enterprise pricing available on request. |
| Free plan | Yes | Yes |
| Best for | Teams wanting a self-hosted chat UI quickly, Users running local models through Ollama or APIs, Admins who want a friendlier front end for model access | Knowledge workers who need a reliable autonomous agent for research and data gathering, Founders and solo operators automating repetitive multi-step workflows, Analysts who need an agent to pull data, process it, and produce reports, Developers building on top of an existing production-grade agentic framework, Teams evaluating autonomous AI agents for enterprise deployment |
| Platforms | web, linux, mac, windows | web, desktop |
| API | Yes | No |
| Languages | en | en, zh |
| Pros |
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| Visit site | Visit site |
- Pricing
- Open-source software; hosting and infrastructure are your responsibility.
- Free plan
- Yes
- Best for
- Teams wanting a self-hosted chat UI quickly, Users running local models through Ollama or APIs, Admins who want a friendlier front end for model access
- Platforms
- web, linux, mac, windows
- API
- Yes
- Languages
- en
Manus
82
- Pricing
- Free tier with limited task credits. Starter plan around $39/month for higher concurrency and usage limits. Professional plan around $199/month with team collaboration and priority execution. Enterprise pricing available on request.
- Free plan
- Yes
- Best for
- Knowledge workers who need a reliable autonomous agent for research and data gathering, Founders and solo operators automating repetitive multi-step workflows, Analysts who need an agent to pull data, process it, and produce reports, Developers building on top of an existing production-grade agentic framework, Teams evaluating autonomous AI agents for enterprise deployment
- Platforms
- web, desktop
- API
- No
- Languages
- en, zh
86Choose Open WebUI if:
- You are Teams wanting a self-hosted chat UI quickly
- You are Users running local models through Ollama or APIs
- You are Admins who want a friendlier front end for model access
- You want to start free
82Choose Manus if:
- You are Knowledge workers who need a reliable autonomous agent for research and data gathering
- You are Founders and solo operators automating repetitive multi-step workflows
- You are Analysts who need an agent to pull data, process it, and produce reports
- You want to start free
FAQ
- What is the difference between Open WebUI and Manus?
- Open WebUI is an open-source web interface for using local or remote models with features like rag, admin controls, and multi-model access. Manus is manus is a fully autonomous ai agent that plans and executes multi-step tasks end-to-end: browsing the web, writing and running code, analyzing data, managing files, and completing complex workflows without continuous human input.
- Which is cheaper, Open WebUI or Manus?
- Open WebUI: Open-source software; hosting and infrastructure are your responsibility.. Manus: Free tier with limited task credits. Starter plan around $39/month for higher concurrency and usage limits. Professional plan around $199/month with team collaboration and priority execution. Enterprise pricing available on request.. Open WebUI has a free plan. Manus has a free plan.
- Who is Open WebUI best for?
- Open WebUI is best for Teams wanting a self-hosted chat UI quickly, Users running local models through Ollama or APIs, Admins who want a friendlier front end for model access.
- Who is Manus best for?
- Manus is best for Knowledge workers who need a reliable autonomous agent for research and data gathering, Founders and solo operators automating repetitive multi-step workflows, Analysts who need an agent to pull data, process it, and produce reports, Developers building on top of an existing production-grade agentic framework, Teams evaluating autonomous AI agents for enterprise deployment.