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The Best Chinese Open Agentic/Reasoning Models (2025): Expanded Review, Comparative Insights & Use Cases





China continues to determine the pace of open source innovation from large models, especially for family structures and deep thinking. Below is a comprehensive and modern evidence of the best open Chinese models/thinking, expanding with the latest and most influential expatriates.

1. Kim K2 (Moonshot AI)

  • Introduction account: The structure of the mixture of experts, up to 128 kilometers context, the excessive worker’s ability and the dual -language fluency (Chinese/English).
  • Strengths:
    • High standard performance in thinking, coding, mathematics and long work.
    • Well -rounded agent skills: Use tools, multi -step automation, protocol adherence.
  • Using casesWorking progress of general purposes, documents intelligence, code generation, multi -language institution.
  • Why chooseThe most balanced budget for the open systems of the agent.

2. GLM – 4.5 (ZHIPU AI)

  • Introduction account: 35B Total parameters, original agent design, long context support.
  • Strengths:
    • It is designed for this purpose to implement the complex agent, automate workflow, and coordinate tools.
    • The licensed ecosystem of the Massachusetts Institute of Technology (700,000+ developer), a rapid community adoption.
  • Using casesMulti -agent applications, independent, cost -effective factors, research that requires the logic of the original agent.
  • Why choose: To build deep, integrated applications for tools, open LLM on a large scale.

3.

  • Introduction account: A mixture of the next generation of experts, controlling the depth/thinking modes, the dominant multi -language model (119+ languages), the coding academic specialist.
  • Strengths:
    • Switching the dynamic “thinking/not thinking”, the delivery of the advanced job, and the highest grades in mathematics/code/tools.
    • QWEN3-Coder: It deals with 1m code for the symbol, and excels in the Step-step-by-step analysis and the complex DeV function.
  • Using cases: Multi -Language tools, SAAS Global, logic/multimedia coding applications, DeV teams centered around the Chinese.
  • Why choose: Deficient control, the best multi -language support, a world -class code agent.

4. Deepseek-r1 / v3

  • Introduction accountFirst logic, multi -stage RLHF training, 37B stimulant parameters for each query (R1); V3 expands to 671b for global mathematics/code.
  • Strengths:
    • The latest logic in logic and the series of thinking exceeds most Western competitors in scientific tasks.
    • Protocols “Deep search” information/search/search for self -government completely.
  • Using casesTechnical/scientific research, realistic analyzes, environments that appreciate the ability to interpret.
  • Why chooseThe maximum accuracy of thinking, agent accessories for research and planning.

5. Wu Dao 3.0 (Bay)

  • Introduction accountStandard family (Aquilachat, Eva, Aquilacode), open capabilities, long sources and a strong long context.
  • Strengths:
    • It treats both texts and images, and supports multi -language workflow, which is completely suitable for startups and low users.
  • Using cases: Press -off Publishing of the agent, small and medium companies, developing a flexible application.
  • Why choose: The most practical and standard for multimedia agent tasks and the smallest size.

6. Chatglm (zhipu ai)

  • Introduction account: Ready -to -edge windows, dual language, context up to 1 meter, quantity for low memory devices.
  • Strengths:
    • It is better for functional applications on the device, long independent thinking, and publishing mobile devices.
  • Using casesLocal/government publishing operations, sensitive scenarios, resources dedicated.
  • Why chooseFlexible scaling from the cloud to the edge/mobile, strong bilateral efficiency.

7. Manus & OpenManus (Monica Ai / Community)

  • Introduction account: The new criterion for China for general artificial intelligence agents: independent thinking, the use of tools in the real world, and the agent coordination. Openmanus provides Agentic workflow based on many basic models (Llama, GLM, Deepseek variables).
  • Strengths:
    • Natural independent behavior: search on the Internet, travel planning, search writing, voice commands.
    • OpenManus is very units, combining Chinese open or royal llms for tasks designed.
  • Using cases: Factors to complete the real task, multi -agent coordination, and open source work frames.
  • Why chooseThe first main step towards AGI -like agent applications in China.

8. Doubao 1.5 Pro

  • Introduction account: It is known for the structure of the logic of reality and thinking, the high -context window (expected 1m+ symbols).
  • Strengths:
    • Actual solution solution, superior logical structure, which can be developed to the deployment of multiple institutions.
  • Using casesScenals that emphasize logical rigor, automation at the level of the institution.
  • Why choose: Enhancing thinking and logic, strong in developed business environments.

9. Baichuan, Stepfun, Minimax, 01.AI

  • Introduction account: “Six Tigers” from the Chinese open AI (for every Massachusetts Institute Technology Technology), each provides logical/strong agents in its field (Stepfun/AIGC, Minimax/Memory, Baichuan/Multiladingual Legal).
  • Strengths:
    • Various applications: from conversation agents to the logic of the field in law/finance/science.
  • Why choose: Choose the requirements for the sector, especially high -value business applications.

Comparative table

model Best for agent? Multi -language? Window of context Coding Thinking Unique features
Kim K2 All purposes are an agent Yes Yes 128 kg High High A mixture of experts, quickly, open
GLM-4.5 Original agent applications Yes Yes 128k+ High High The original task/planning the application programming interface
QWEN3 Control, multi -language, saas Yes Yes (119+) 32k – 1m summit summit Fast mode switch
QWEN3-Coder Ribo coding Yes Yes Up to 1m summit High Reibo analysis step -by -step
Deepseek-r1/v3 Thinking/Mathematics/Science some Yes big summit higher RLHF, Agentic Science, V3: 671B
Wu Dow 3.0 Units, multimedia, small and medium companies Yes Yes big Middle High Text/image, symbol, normative structures
Chatglm Edge/Use of a mobile agent Yes Yes 1m Middle High Quantity, resource saving
Manus Independent/sound factors Yes Yes big a task summit Voice/smartphone, AGI in the real world
Doubao 1.5 Pro Heavy logic Foundation Yes Yes 1m+ Middle summit 1m+ symbols, logic structure
Baichuan/etc. The logic of the industry Yes Yes Different Different High Sector specialization

Main meals and when to use the model

  • Kim K2: The best round-if you want strength, balanced thinking, long context, and the vast language support.
  • GLM-4.5: The original agent, great for independent tasks applications or tool coincidence; Open source ecosystem commander.
  • QWEN3/QWEN3-comrOut of graceful control, multi -language tasks/institutions, and high -level code agencies.
  • Deepseek-r1/v3: The golden standard for the series of thinking and mathematics/science and the logic of the research class.
  • Wu Dow 3.0The most practical for small and medium -sized companies/startups, especially for multimedia solutions (text/image/code).
  • Chatglm/Manus/OpenManusField publishing, privacy, and truly independent factors recommended for use in the real world, or multi-agents cooperative agents.
  • Doubao 1.5 Pro/Baichuan/Six Tigers: Consider publishing operations for the sector or if realistic consistency and specialized logic is extremely important.


Michal Susttter is a data science specialist with a master’s degree in Data Science from the University of Badova. With a solid foundation in statistical analysis, automatic learning, and data engineering, Michal is superior to converting complex data groups into implementable visions.






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2025-08-11 08:02:00

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