ChatGPT vs Manus
A detailed side-by-side comparison to help you choose the right AI productivity agent for your needs.
Best overall AI assistant for general tasks
ChatGPT
ChatGPT by OpenAI holds the #1 position on the a16z Top 100 Gen AI Apps list for both web and mobile, making it the most widely used AI application in the world. As a general-purpose AI assistant, Cha...
AI Models
GPT-5.4GPT-5o3o4-miniDALL-E 3
Key Features
- Versatile AI assistant for writing, coding, analysis, and research
- DALL-E 3 integration for image generation within conversations
- Web browsing for real-time information access
- Python code execution for data analysis and visualization
- Custom GPTs for specialized workflows and personas
Pricing
Free — $0/month
Go — $8/month
Plus — $20/month
Pro — $200/month
Team — $25/user/month
Pros
- Number 1 ranked AI app globally with the largest user base and ecosystem
- Unmatched versatility across writing, coding, analysis, and creative tasks
- Custom GPTs and plugins create a rich third-party ecosystem
Cons
- Free tier has significant usage limits during peak hours
- Pro tier at $200/month is expensive for individual users
Best for autonomous multi-step task execution
Manus
Manus is an agentic AI platform featured on the a16z Top 100 Gen AI Apps list, designed to autonomously execute complex multi-step tasks that go far beyond simple chat interactions. Unlike conversatio...
AI Models
ClaudeGPT-4oCustom orchestration models
Key Features
- Autonomous multi-step task execution from natural language goals
- Web browsing, code execution, and file management
- API interactions and multi-service workflow orchestration
- Persistent workspace for multi-session projects
- Research automation across multiple web sources
Pricing
Free — $0/month
Starter — $39/month
Pro — $199/month
Team — Custom pricing
Pros
- True autonomous agent that executes tasks rather than just advising
- Multi-step workflows handle complex research and data gathering
- Persistent workspace enables ongoing multi-session projects
Cons
- Autonomous execution requires trust—mistakes can compound across steps
- Complex tasks may consume credits quickly on lower tiers