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The Best Chinese Open Agentic/Reasoning Models (2025): Expanded Review, Comparative Insights & Use Cases
China continues to set the pace in open-source large language model innovation, particularly in agentic architectures and deep reasoning. This guide provides a comprehensive review of the leading Chinese open agentic/reasoning models, featuring the latest and most influential entrants.
1. Kimi K2 (Moonshot AI)
Profile: Mixture-of-Experts architecture, up to 128K context, superior agentic ability, and bilingual (Chinese/English) fluency.
Strengths: High benchmark performance in reasoning, coding, mathematics, and long-document workflows. Well-rounded agentic skills include tool use, multi-step automation, and protocol adherence.
Use Cases: General-purpose agentic workflows, document intelligence, code generation, and multi-language enterprise applications.
Why Pick: The most balanced all-rounder for open-source agentic systems.
2. GLM‑4.5 (Zhipu AI)
Profile: 355B total parameters with native agentic design and long-context support.
Strengths: Purpose-built for complex agent execution, workflow automation, and tool orchestration. MIT-licensed with an established ecosystem of over 700,000 developers and rapid community adoption.
Use Cases: Multi-agent applications, cost-effective autonomous agents, and research requiring agent-native logic.
Why Pick: Ideal for building deeply agentic, tool-integrated, open LLM applications at scale.
3. Qwen3 / Qwen3-Coder (Alibaba DAMO)
Profile: Next-gen Mixture-of-Experts model, controlling reasoning depth and modes, with multilingual support across 119+ languages and specialization in coding.
Strengths: Dynamic switching between «thinking» and «non-thinking,» advanced function-calling, and high scores in math, coding, and tool tasks.
Use Cases: Multilingual tools, global SaaS, and applications for Chinese-centric development teams.
Why Pick: Provides precise control and the best multilingual support for complex coding tasks.
4. DeepSeek-R1 / V3
Profile: Reasoning-first model with multi-stage RLHF training, featuring 37B activated parameters per query (R1). V3 expands to 671B for top-tier math and coding performance.
Strengths: State-of-the-art in logic and chain-of-thought reasoning, surpassing many Western rivals in scientific tasks. Supports “Agentic Deep Research” protocols for autonomous planning and searching.
Use Cases: Technical and scientific research, factual analytics, and environments prioritizing interpretability.
Why Pick: Offers maximum reasoning accuracy and agentic extensions for research and planning.
5. Wu Dao 3.0 (BAAI)
Profile: Modular with strong long-context and multimodal capabilities, suitable for both text and images.
Strengths: Supports multilingual workflows and is particularly useful for startups and low-compute environments.
Use Cases: Multimodal agentic deployment and flexible application development for SMEs.
Why Pick: The most practical and modular solution for smaller-scope agentic tasks.
6. ChatGLM (Zhipu AI)
Profile: Edge-ready with bilingual support and context windows up to 1M; optimized for low-memory hardware.
Strengths: Best suited for on-device agentic applications emphasizing long-document reasoning.
Use Cases: Local government deployments and resource-constrained environments prioritizing privacy.
Why Pick: Flexible scaling from cloud to edge/mobile deployments with strong bilingual proficiency.
7. Manus & OpenManus (Monica AI / Community)
Profile: Sets a new benchmark for general AI agents with independent reasoning and real-world tool use. OpenManus facilitates agentic workflows based on several underlying models.
Strengths: Exhibits natural autonomous behavior across various applications such as web search and voice commands. Highly modular for tailored integration with Chinese open models.
Use Cases: Tasks requiring true mission-completion agents and multi-agent orchestration.
Why Pick: A significant step towards AGI-like agentic applications in China.
8. Doubao 1.5 Pro
Profile: Recognized for superior fact consistency and logical reasoning structures, with a high context window exceeding 1M tokens.
Strengths: Delivers real-time problem-solving and excels in scalable enterprise deployments.
Use Cases: Scenarios emphasizing logical rigor in enterprise-level automation.
Why Pick: Excellent reasoning capabilities making it suitable for complex business environments.
9. Baichuan, Stepfun, Minimax, 01.AI
Profile: Known as the «Six Tigers» of Chinese open AI. Each entity offers strong reasoning and agentic features in their respective domains.
Strengths: Offers diverse applications from conversational agents to domain-specific logic in law, finance, and science.
Why Pick: Choose based on sector-specific requirements, with potential for high-value business applications.
Comparative Table
| Model | Best For | Agentic? | Multilingual? | Context Window | Coding | Reasoning | Unique Features |
|---|---|---|---|---|---|---|---|
| Kimi K2 | All-purpose agentic | Yes | Yes | 128K | High | High | Mixture-of-Experts, fast, open |
| GLM-4.5 | Agent-native applications | Yes | Yes | 128K+ | High | High | Native task/planning API |
| Qwen3 | Control, multilingual, SaaS | Yes | Yes (119+) | 32K–1M | Top | Top | Fast mode switching |
| Qwen3-Coder | Repo-scale coding | Yes | Yes | Up to 1M | Top | High | Step-by-step repo analysis |
| DeepSeek-R1/V3 | Reasoning/math/science | Some | Yes | Large | Top | Highest | RLHF, agentic science, V3: 671B |
| Wu Dao 3.0 | Modular, multimodal, SME | Yes | Yes | Large | Mid | High | Text/image, code, modular builds |
| ChatGLM | Edge/mobile agentic use | Yes | Yes | 1M | Mid | High | Quantized, resource-efficient |
| Manus | Autonomous agents/voice | Yes | Yes | Large | Task | Top | Voice/smartphone, real-world AGI |
| Doubao 1.5 Pro | Logic-heavy enterprise | Yes | Yes | 1M+ | Mid | Top | 1M+ tokens, logic structure |
| Baichuan/etc | Industry-specific logic | Yes | Yes | Varies | Varies | High | Sector specialization |
Key Takeaways & When to Use Which Model
- Kimi K2: Best all-rounder for balanced agentic power, reasoning, long context, and broad language support.
- GLM-4.5: Native agent ideal for autonomous task applications and tool orchestration; ecosystem leader.
- Qwen3/Qwen3-Coder: Superior for agile control, multilingual enterprise tasks, and high-level code agentics.
- DeepSeek-R1/V3: Gold standard for chain-of-thought reasoning, math/science, and research-grade logic.
- Wu Dao 3.0: Most practical for SMEs/startups, especially for multimodal agentic solutions.
- ChatGLM/Manus/OpenManus: Best suited for field deployments, privacy considerations, and truly autonomous agents.
- Doubao 1.5 Pro/Baichuan/Six Tigers: Consider for sector-specific deployments where factual consistency and specialized logic are critical.
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