Best Chinese Open Agent/Inference Model (2025): Extended Reviews, Comparative Insights and Use Cases

China continues to build on open source large-scale language model innovation, especially for agency architecture and deep reasoning. This is a comprehensive, latest guide to the best open agent/inference model in China and extends with the latest and most influential contestants.

1. KimiK2 (Moonshot AI)

• contour: A mixture of Expert architecture, up to 128K context, excellent proxy ability and bilingual (Chinese/English) fluency.
• Advantages:
  • High benchmark performance in reasoning, coding, mathematics and long-term workflows.
  • Comprehensive proxy skills: tool usage, multi-step automation, protocol compliance.
• Use Cases: General agent workflow, document intelligence, code generation, multilingual enterprise.
• Why choose: The most balanced all-rounder for open source proxy systems.

2. GLM‑ 4.5 (Zhipu ai)

• contour: 355B total parameters, local agent design, long-form cultural support.
• Advantages:
  • Designed specifically for complex agent execution, workflow automation and tool orchestration.
  • MIT license, established ecosystem (700,000+ developers), fast community adoption.
• Use Cases: Multi-agent application, cost-effective autonomous agent, requires research on agent local logic.
• Why choose: Used to build deep proxy, tool integration, open LLM applications at scale.

3. Qwen3 / Qwen3-Coder (Alibaba Damo)

• contour: Next-generation mixture of experts, control of inference depth/mode, major multilingual models (119 languages), coding experts at reply scale.
• Advantages:
  • Dynamic “think/no thought” switching, advanced function calls, highest score in math/code/tool tasks.
  • QWEN3-CODER: Processes code 1M tokens, performs excellently on step-by-step repo analysis and complex Dev Workflows.
• Use Cases: Multilingual tools, global SaaS, multi-modal logic/coding applications, China-centered development team.
• Why choose: Precise control, best multilingual support, world-class code proxy.

4. deepSeek-r1/v3

• contour: Inference-first, multi-stage RLHF training, 37B activation parameters per query (R1); V3 extends to 671b of world-class math/code.
• Advantages:
  • The most advanced in logic and thoughtful reasoning overtakes most Western competitors in scientific tasks.
  • “Agent In-depth Research” protocol for fully autonomous planning/search/integrated information.
• Use Cases:Technical/scientific research, factual analysis, emphasis on explanatory environment.
• Why choose: Agent extension for maximum inference accuracy, research and planning.

5. WuDao 3.0 (Baai)

• contour: Modular family (Aquilacat, Eva, Aquilacode), open source, strong long text and multi-modal functions.
• Advantages:
  • Process text and images, support multilingual workflows, suitable for startups and low-computing users.
• Use Cases: Multi-mode agent deployment, small and medium-sized enterprises, flexible application development.
• Why choose: Most practical and modular for multi-modal and smaller proxy tasks.

6. chatglm (Zhipu ai)

• contour: Edge-Ready, bilingual, context window up to 1M, for low memory hardware.
• Advantages:
  • Best for device proxy applications, long-term document reasoning, mobile deployment.
• Use Cases: Local/government deployment, privacy-sensitive solutions, resource-constrained environment.
• Why choose: Flexible scaling from cloud to edge/mobile, strong, bilingual abilities.

7. Manus & Openmanus (Monica AI/Community)

• contour: China’s new benchmark for general AI agents: independent reasoning, real-world tool use and proxy orchestration. Openmanus enables proxy workflows based on many basic models (Llama variants, GLM, DeepSeek).
• Advantages:
  • Autonomous behavior: Internet search, travel planning, research writing, voice commands.
  • Openmanus is a highly modular, Chinese open model or proprietary LLM for tailored agent tasks.
• Use Cases: Real task completion agent, multi-agent orchestration, open source agent framework.
• Why choose: Take the first step in Agi-like proxy applications in China.

8. DOUDAO1.5 PRO

• contour: Known for excellent factual consistency and reasoning logic structure, high context window (expected 1M+ token).
• Advantages:
  • Real-time problem solving, excellent logical structure, scalable to multiple enterprise deployments.
• Use Cases: Emphasizes logical rigor and enterprise-level automation solutions.
• Why choose: Enhanced reasoning and logic, powerful in a scalable business environment.

9. Baichuan, Stepfun, minimax, 01.ai

• contour: “Six Tigers” of China’s AI (according to MIT Technology Review), each AI provides powerful inference/agent characteristics in its domain (Stepfun/AIGC, Minimax/Memory, Baichuan/Multional Legal).
• Advantages:
  • Different applications: from dialogue agents in law/financial/science to logic in specific fields.
• Why choose: Choose department-specific requirements, especially high-value business applications.

Comparison table

Key Points and When to Use Which Model

• Kimi K2: The best all-around player – If you want balanced agency skills and reasoning, long context, extensive language support.
• GLM-4.5: Local agent, ideal for autonomous task applications or tool orchestration; person in charge of open source ecosystem.
• qwen3/qwen3-coder: Agile control, multilingual/enterprise tasks and advanced code proxy.
• DeepSeek-R1/V3: The gold standard for basic reasoning, math/science and research-level logic.
• Wu Dao 3.0: Most practical for SMEs/startups, especially for multimodal (text/image/code) proxy solutions.
• chatglm/manus/openmanus: On-site deployment, privacy and true autonomous agents, notorious for cutting-edge real-life use, devices or collaborative multi-agent tasks.
• Doubao 1.5 Pro/Baichuan/Six Tigers: It is crucial to consider deployments for specific departments, or factual consistency and professional logic.