Claude’s Exit from China: How Domestic AI Models Can Fill the Void

Anthropic announced new usage restrictions for its AI services, especially the popular Claude model. Companies controlled by Chinese capital, regardless of registration location, can no longer use Claude or its developer‑community tool Claude Code, creating a direct impact on Chinese enterprises that rely on these services.

01 Claude’s Advantages

1. Superior comprehension of complex commands

Claude can understand and follow intricate multi‑step instructions, breaking down tasks and delivering complete results, much like a top‑performing student who handles every requirement.

2. Structured output for data handling

Claude can generate structured formats such as JSON, allowing developers to use the output directly without extensive cleaning, akin to a professional organizer turning chaos into order.

3. Strong coding assistance

Claude Code acts as an AI programming agent: it grasps programming intent, writes and completes code, finds bugs, and can automate the entire pipeline from task description to final code, dramatically boosting developer productivity.

4. Safety and controllability

Anthropic emphasizes safety and controllability in Claude, reducing harmful outputs and hallucinations, making the model more reliable for users.

02 Domestic AI Models Rising

Although Claude is temporarily unavailable, Chinese AI models are advancing rapidly. The market for large AI models in China is projected to exceed a trillion yuan, with notable entrants such as Baidu’s Wenxin, Alibaba’s Tongyi, ByteDance’s Doubao, and Zhipu AI’s GLM series.

1. Emerging programming models

Alibaba Qwen3‑Coder: an open‑source coding model that excels at code generation, completion, and bug fixing, dramatically improving development speed.

Tongyi Lingma: Alibaba Cloud’s intelligent coding assistant offering code generation, Q&A, multi‑file modifications, and a “programming agent” capability for an AI‑native development experience.

Zhipu AI GLM‑4.5: a “foundation model for agents” that combines reasoning, coding, and agent abilities, achieving state‑of‑the‑art performance on multiple benchmarks.

These models have already shown substantial potential in real‑world applications, automating repetitive coding tasks, generating test cases, deploying code, and producing documentation, thereby freeing developers to focus on creative problem‑solving.

03 Comparing Domestic Models with Claude Code

1. Maturity of the programming‑agent mode

Claude Code offers end‑to‑end automation from natural‑language task description to code production, testing, and deployment. Most domestic models, while strong in code generation and bug fixing, currently serve as assistance tools rather than fully autonomous agents.

2. Context handling capability

Claude excels at long‑context recall, enabling it to understand extensive project structures and generate context‑aware code. Domestic models are improving but may still lag in handling very long contexts and complex logic.

3. Ecosystem and community support

Claude benefits from a large, active developer community and a mature ecosystem of integrations and plugins. Chinese models are building their ecosystems and communities, but they have not yet reached the same level of breadth and depth.

4. Safety and compliance

While Anthropic has invested heavily in safety, the abrupt restriction highlights the need for domestic models to prioritize security and regulatory compliance to avoid similar disruptions.

Overall, Claude’s departure presents both a challenge and an opportunity for Chinese AI developers: it underscores the importance of owning core technology while revealing the rapid progress and future potential of home‑grown large language models.