Question

What is the difference between Manus and DeepSeek (China) and openAI GPT?

Answer 1

China Manus Vs. China DeepSeek Vs. OpenAI GPT:

Dimensions	Manus	DeepSeek	OpenAI GPT
Positioning	Executive "all-round worker", closed loop of automated tasks	Knowledge-based "strongest brain", good at knowledge reasoning and text generation	General AI, natural language dialogue and content generation
Technical architecture	Multi-agent collaborative architecture, virtual machine running sub-agent	Mixed Expert Model (MoE), parameter scale reaches 671 billion	Transformer architecture, large-scale pre-trained model
Core advantages	Task decomposition granularity reaches "0.1 second decision", supports cross-platform tool calls	Open source strategy, low-cost API call, Chinese knowledge question and answer accuracy rate 64.1%	Powerful contextual understanding and creative text generation capabilities
Applicable scenarios	Resume screening, stock analysis, data report generation, etc.	Legal contract polishing, academic paper writing, mathematical calculations, etc.	Daily conversation, programming assistance, creative writing, etc.
Multimodal capabilities	Supports input of text, documents, compressed packages, etc., and can call tools such as Photoshop	Supports mixed modal tasks such as text, image, and voice	Support text generation and image recognition (such as GPT-4o)
Commercialization progress	The official website crashed during the internal testing phase, and the invitation code was sold for 50,000 yuan	Daily active users exceed 20 million, cumulative downloads exceed 110 million times	Large user base, mature API ecosystem
Development potential	Verify the reliability of complex tasks and explore nested collaboration with DeepSeek	Expanding vertical applications such as medical and legal fields	Extended plug-in ecosystem and multimodal interaction to enhance the depth of application in professional fields

Summary of core differences:

1. Technical path: Manus focuses on automated task execution, DeepSeek focuses on language model optimization, and GPT excels in general conversation capabilities.

2. Application scenarios: Manus is suitable for multi-step, cross-platform tasks, DeepSeek is good at knowledge-intensive scenarios, and GPT covers daily conversations and creative content generation.

3. Ecosystem construction: Manus needs to verify the reliability of complex tasks, DeepSeek promotes technology inclusion through open source, and GPT relies on the plug-in ecosystem to expand the functional boundaries.