When Claude Leaves China: How Domestic AI Models Are Rising to Fill the Gap

Anthropic recently announced that any enterprise controlled by Chinese capital, regardless of where it is registered, will no longer be able to use Claude and related services such as Claude Code, dealing a direct blow to Chinese companies that rely on these tools for R&D, content creation, and other business activities.

This restriction raises urgent questions: how will Chinese developers respond when a leading AI assistant disappears, and which domestic AI models can serve as reliable replacements while opening new growth opportunities?

01 – Why Claude Became So Popular

1. Exceptional comprehension of complex, multi‑step instructions

Claude can follow intricate, layered commands without losing track, breaking tasks down step‑by‑step to deliver satisfying results, much like a top‑performing student who handles every nuance of an assignment.

2. Structured output that’s ready for code

Its ability to generate well‑formatted data such as JSON lets developers plug results directly into programs, eliminating tedious data‑cleaning work.

3. Powerful coding assistance – the “AI programming agent”

Claude Code goes beyond simple code generation; it understands intent, writes, completes, and even debugs code, enabling end‑to‑end automation from task description to final implementation.

4. Built‑in safety and controllability

Anthropic emphasizes reducing harmful outputs and hallucinations, offering a more predictable and trustworthy AI experience.

02 – Which Domestic AI Models Can Catch Up?

Although Claude is temporarily unavailable, China’s AI model ecosystem is booming. Market reports predict the domestic large‑language‑model market will soon exceed a trillion‑yuan valuation, with a growing roster of high‑quality models.

Key players include Baidu’s Wenxin, Alibaba’s Tongyi, ByteDance’s Doubao, and Zhipu AI’s GLM series, each demonstrating strong capabilities in their respective domains.

Programming‑focused models

Alibaba Qwen3‑Coder – an open‑source coding model that excels at code generation, completion, and bug fixing, dramatically boosting developer productivity.

Alibaba Cloud Tongyi Lingma – a comprehensive coding assistant offering multi‑file edits, intelligent Q&A, and an emerging “coding agent” experience.

Zhipu AI GLM‑4.5 – positioned as an “agent‑base” model with state‑of‑the‑art performance across reasoning, coding, and agent tasks.

These models have already shown real‑world impact, automating repetitive coding tasks such as test‑case generation, deployment scripts, and documentation, thereby freeing engineers to focus on higher‑level creativity.

03 – Where Domestic Models Still Lag Behind Claude Code

1. Maturity of the programming‑agent paradigm

Claude Code can turn a natural‑language description into a complete, tested, and even deployed codebase autonomously. Most Chinese models remain powerful assistants but have not yet achieved full end‑to‑end automation.

2. Context handling capacity

Claude’s superior long‑context recall enables it to understand extensive project structures and generate context‑aware code. Domestic models are improving but still face challenges with very long or complex contexts.

3. Ecosystem and community support

Claude benefits from a large, active developer community and a rich ecosystem of plugins and integrations. Chinese models are building momentum but need more time to develop comparable tooling and community resources.

4. Safety and compliance

While Anthropic’s safety work is notable, the abrupt service cut highlights the risk of external dependencies. Domestic models must prioritize robust safety mechanisms and regulatory compliance to avoid similar disruptions.

In summary, Claude’s departure is a setback for users but also a catalyst for China’s AI industry to accelerate self‑reliance, improve model capabilities, and ultimately achieve unrestricted, high‑quality AI services.