Gemini vs Manus
A detailed side-by-side comparison to help you choose the right AI productivity agent for your needs.
Best for Google Workspace integration
Gemini
Gemini is Google's AI assistant ranked #2 on the a16z Top 100 Gen AI Apps list, with approximately 12% of ChatGPT's web visits but massive mobile reach through Android integration. Gemini's strongest ...
AI Models
Gemini 3Gemini 3.1 ProGemini 2.5 Flash
Key Features
- Deep Google Workspace integration: Gmail, Docs, Sheets, Slides, Drive
- 2M token context window for processing massive documents
- Multimodal understanding: text, images, audio, video analysis
- Android default AI assistant with screen context awareness
- Real-time information access through Google Search integration
Pricing
Free — $0/month
Google AI Pro — $19.99/month
Google AI Ultra — $41.67/month
Pros
- Unmatched Google Workspace integration makes it essential for Google users
- 2M token context window handles massive documents and codebases
- Android integration provides AI assistant to billions of mobile users
Cons
- Best features require Google One AI Premium subscription
- Less capable than ChatGPT for specialized coding and creative tasks
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