AI
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