Zhipu AI is good at Chinese processing and lightweight, DeepSeek breaks through with large models and open source ecology, and Manus improves efficiency with multi-agent architecture. The three have their own strengths.
Zhipu AI English Website
The following is a detailed introduction to Zhipu AI Agent Benchmarking DeepSeek and Manus, covering multiple dimensions such as technical architecture, algorithm model, application scenarios, and business model, striving to fully demonstrate the similarities and differences between the three and their respective advantages.
Company Background and Technology Accumulation
1. Zhipu AI
- Full Name: Beijing Zhipu Huazhang Technology Co., Ltd.
- Establishment Date: June 2019
- Technical Foundation: Relying on the 27 years of technical accumulation of the Knowledge Engineering Laboratory (KEG) of the Department of Computer Science, Tsinghua University, it focuses on the research and development of cognitive intelligence large models.
- Core breakthrough: self-developed GLM (General Language Model) architecture pre-training framework, supports model training with hundreds of billions of parameters, launches ChatGLM series models with strong Chinese processing capabilities, and the open source version ChatGLM-6B can run on a single card device, greatly reducing the threshold for AI applications.
Zhipu AI
2. DeepSeek
- Full name: Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co., Ltd.
- Establishment time: July 2023
- Technical foundation: Founded by quantitative asset management giant Huanfang Quantitative, founder Liang Wenfeng is deeply involved in the field of high-performance computing, and the technical team has both algorithm and engineering capabilities.
- Core breakthrough: Released the DeepSeek-R1 series model with a parameter scale of 671 billion (671B), supports local/API deployment and complex scientific research calculations, and has performance benchmarking OpenAI O1 in tasks such as mathematical reasoning and code generation, and has significant cost-effectiveness.
DeepSeek AI
3. Manus
- Development company: Monica.im (formerly “Butterfly Effect” company)
- Release time: March 2025
- Technical foundation: Based on the founder Xiao Hong’s ten years of technical entrepreneurship experience, the team is good at integrating multi-model capabilities and improving comprehensive performance through dynamic calls.
- Core breakthrough: The world’s first general AI Agent, which does not develop large models in-house, but calls external models such as Claude and OpenAI, and realizes the autonomous execution and delivery of complex tasks through a multi-agent architecture.
Manus AI
Technical architecture and algorithm model
1. Zhipu AI
- Technical architecture:
- GLM framework: Adopts a multi-stage enhanced pre-training method, optimized for Chinese question-answering and dialogue, and supports long text processing and multi-modal fusion.
- Model iteration: From GLM-130B to ChatGLM-6B, it takes into account both performance and lightweight requirements, supports single-card deployment, and adapts to edge computing scenarios.
- Algorithm innovation:
- Chinese semantic understanding: Through large-scale Chinese corpus training, improve the accuracy of tasks such as word segmentation, named entity recognition, and dependency syntax analysis.
- End-to-end emotional speech model: Realize the joint optimization of speech synthesis and emotion recognition, support 4K/60 frame video generation, and promote the penetration rate of multimodal AI.
2. DeepSeek
- Technical architecture:
- MoE framework: Train multiple expert models, dynamically select the most suitable model to process input data, and improve the efficiency of complex tasks.
- Reinforcement learning: Apply reinforcement learning technology on a large scale in the post-training stage to enhance the model’s reasoning ability and generalization.
- Algorithm innovation:
- Data distillation technology: Optimize the quality of training data and improve model efficiency.
- Cost optimization: MLA technology reduces repeated calculations of KV matrices, reduces reasoning costs, and supports localized deployment.
3. Manus
- Technical architecture:
- Multi-agent architecture: Decompose tasks into subtasks, which are completed by independent sub-agents to ensure execution stability and security.
- Cloud container management: Sub-agents run in Docker containers and support programming, data analysis, web browsing and other operations.
- Algorithm innovation:
- Dynamic model call: Automatically select external models such as Claude and OpenAI according to the task type, and optimize the output in combination with the self-developed decision layer.
- Result visualization: Automatically generate code operation reports and data analysis charts to improve user interaction experience.
Application scenarios and product services
1. Zhipu AI
- Core products:
- AutoGLM intelligent body: Simulates human operation of mobile phones, supports “phone use” functions such as web reading, e-commerce shopping, and takeaway ordering.
- Industry solutions: Covering finance, medical care, education and other fields, such as cooperating with Honor to explore the application of AI assistants in terminals.
- Application scenarios:
- Financial technology: Jointly develop virtual financial planners with Tonglian Data to provide investment advisory services.
- Education assistance: Tools support teaching and scientific research, and interact with students to answer questions.
- Content creation: Lower the threshold for media creation and stimulate user productivity.
2. DeepSeek
- Core products:
- Smart assistant: Provide multi-scenario services, including life planning, health management, learning assistance, etc.
- API/localized deployment: Support enterprise access models, and have been deployed in hospitals and government systems.
- Application scenarios:
- Life services: Personalized itinerary planning, diet matching suggestions.
- Learning improvement: Analysis of subject difficulties, exam preparation support.
- Efficiency tools: Document polishing, data analysis, time management.
3. Manus
- Core products:
- General AI Agent: Autonomously perform complex tasks such as in-depth research, data analysis, and contract review.
- Cross-domain tool call: support code writing, web page operation, and application operation.
- Application scenarios:
- Enterprise services: automated contract review, market data analysis.
- Personal efficiency: in-depth research report generation, multi-platform content synchronization.
- Development collaboration: full process support for code writing, testing, and deployment.
Business model and market performance
1. Zhipu AI
- Business model:
- API service: Maas platform bigmodel.cn provides model call interface, and API annual revenue will increase by more than 30 times in 2024.
- Industry cooperation: cooperate with Lingyunguang, Tianyuan Dico and other companies to expand into smart manufacturing, financial technology and other fields.
- Market performance:
- Financing valuation: completed a new round of financing, with a valuation of more than 20 billion yuan.
- Cooperation ecology: established a joint research institute with Tsinghua University to promote the integration of industry, academia and research.
2. DeepSeek
- Business model:
- API and localized deployment: Enterprises can access models or deploy local services, which have been implemented in the fields of medical care and government affairs.
- Open source ecology: Attract developers and cloud service providers to participate in adaptation and activate the upstream and downstream of the industrial chain.
- Market performance:
- Visits: Monthly visits exceed 525 million times, with a global market share of 6.58%, ranking third.
- Mobile terminal: The official App has been downloaded more than 100 million times within one month of its launch, consolidating its position in the mobile terminal.
3. Manus
- Business model:
- Subscription system: Provide personal and enterprise subscription services, charging according to task complexity and number of calls.
- Ecological cooperation: Cooperate with cloud computing vendors to increase cloud resource consumption.
- Market performance:
- User growth: Relying on dynamic model calls and multi-agent architecture, it attracts the attention of early technology users.
- Industry evaluation: Excellent performance in GAIA benchmark test, and comprehensive capabilities surpass OpenAI’s similar products.
Competitive advantages and future prospects
1. Zhipu AI
- Competitive advantages:
- Chinese processing: The GLM architecture is optimized for Chinese, and the ChatGLM series models are leading in Chinese NLP tasks.
- Lightweight deployment: ChatGLM-6B supports single-card operation and adapts to resource-constrained scenarios.
- Future prospects:
- Multimodal fusion: Combine voice and video generation capabilities to expand the fields of metaverse, virtual humans, etc.
- Industry depth: Deepen cooperation with medical, education, finance and other industries to provide customized solutions.
2. DeepSeek
- Competitive advantages:
- Model scale: The 671B parameter model supports complex scientific research calculations and has outstanding cost-effectiveness.
- Open source ecology: Attract developers to participate in optimization and accelerate technology iteration.
- Future Outlook:
- AGI R&D: Promote the implementation of general artificial intelligence and expand more application scenarios.
- Globalization: Improve the multi-language capabilities of the model and compete for the international market.
3. Manus
- Competitive Advantage:
- Task Execution: Multi-agent architecture enables autonomous completion of complex tasks and improves user efficiency.
- Model Integration: Dynamically call external models to balance performance and flexibility.
- Future Outlook:
- Vertical Field: Optimize task execution processes for vertical industries such as law and medical care.
- Hardware Collaboration: Explore deep integration with dedicated inference chips (such as H100) to improve performance.
Zhipu AI Vs. DeepSeek Vs. Manus
| Dimensions | Zhipu AI | DeepSeek | Manus |
| Core technologies | GLM architecture, Chinese optimization | MoE framework, reinforcement learning | Multi-agent architecture, dynamic model call |
| Model scale | Hundreds of billions (GLM-130B) | 671 billion (DeepSeek-R1) | Depends on external models (such as Claude, OpenAI) |
| Application scenarios | Finance, education, content creation | Life, learning, efficiency tools | Complex task execution, enterprise services |
| Business models | API services, industry cooperation | API/localized deployment, open source ecology | Subscription system, ecological cooperation |
| Competitive advantages | Chinese processing, lightweight deployment | Model scale, cost-effectiveness | Task execution, model integration |
| Future directions | Multi-modal fusion, industry depth | AGI R&D, globalization | Vertical fields, hardware collaboration |
Through the above comparative analysis, it can be seen that Zhipu AI has unique advantages in Chinese processing and lightweight deployment. DeepSeek has rapidly risen in the global market relying on large-scale models and open source ecology, while Manus has achieved breakthroughs in task execution efficiency through innovative multi-agent architecture.
The three have their own focuses and jointly promote the evolution of AI agents to smarter and wider application scenarios. Recently, Zhipu AI released a new agent AutoGLM meditation, which will be officially open source on April 14, 2025. If you want to know more about Chinese AI projects, please pay attention to AllAIApplications.com.
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