OpenAI Responses API vs Manus
A side-by-side comparison to help you choose the right tool.
87
OpenAI Responses API scores higher overall (87/100)
But the best choice depends on your specific needs. Compare below.
| Feature | OpenAI Responses API | Manus |
|---|---|---|
| Our score | 87 | 82 |
| Pricing | Usage-based API pricing; costs depend on the models and tools you use. | 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 | No | Yes |
| Best for | Product teams building assistants or agents on OpenAI, Developers migrating from older endpoint patterns, Apps that need streaming and tool invocation in one API | 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 | api | web, desktop |
| API | Yes | No |
| Languages | en | en, zh |
| Pros |
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| Visit site | Visit site |
- Pricing
- Usage-based API pricing; costs depend on the models and tools you use.
- Free plan
- No
- Best for
- Product teams building assistants or agents on OpenAI, Developers migrating from older endpoint patterns, Apps that need streaming and tool invocation in one API
- Platforms
- api
- 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
87Choose OpenAI Responses API if:
- You are Product teams building assistants or agents on OpenAI
- You are Developers migrating from older endpoint patterns
- You are Apps that need streaming and tool invocation in one API
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 OpenAI Responses API and Manus?
- OpenAI Responses API is openai's newer response-oriented api surface for building assistants and agents with streaming, tools, and model control. 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, OpenAI Responses API or Manus?
- OpenAI Responses API: Usage-based API pricing; costs depend on the models and tools you use.. 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.. Manus has a free plan.
- Who is OpenAI Responses API best for?
- OpenAI Responses API is best for Product teams building assistants or agents on OpenAI, Developers migrating from older endpoint patterns, Apps that need streaming and tool invocation in one API.
- 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.