China AI Industry Report H1 2026: Who's Still Growing Amid the Great Model Shakeout?

In the first half of 2026, China's AI large model market entered a deep consolidation phase. While funding has notably contracted, revenue growth for leading companies is accelerating—the market is shifting from "burning cash for expansion" to "finding real business models."

Key trends to watch:

1. DeepSeek's Global Influence

DeepSeek has carved a unique position in the global developer community through its open-source strategy. The API price of DeepSeek-V3 is about 1/50 of GPT-4, a cost advantage that has enabled many small and medium enterprises previously hesitant to adopt AI to start implementing it. On GitHub, the number of stars for DeepSeek-related projects continued to grow in H1 2026.

2. Enterprise Adoption of Doubao/Tongyi Qianwen

ByteDance's Doubao and Alibaba's Tongyi Qianwen have seen a significant increase in B-end deployment cases. Rather than being sold as "large models," they are embedded in enterprise tools like Feishu and DingTalk—users interact with "Feishu AI Assistant" without necessarily knowing it's powered by Doubao. This "toolification" approach is easier to promote than selling large models standalone.

3. Vertical Industry Models Begin to Show Profit Paths

In H1 2026, vertical large models in legal, medical, and education sectors saw the emergence of companies with actual revenue. Their commonality: they don't sell models but "solutions"—automatic legal document generation, medical record structuring, personalized education content recommendations.

4. The Double-Edged Effect of API Price Wars

The continuous decline in API prices for general-purpose large models benefits the ecosystem—more applications can access AI at lower costs. However, for small and medium model startups, "model capability" alone is no longer a moat; differentiation must be found at the application layer.

5. Regulation and Compliance

In H1 2026, requirements for labeling AI-generated content began to be enforced, with some platforms launching AI content labeling systems. Compliance costs are rising for AI content creation tools.

Outlook for H2: The head effect will become more pronounced. Small and medium large model companies without a stable commercialization path will accelerate toward acquisition or exit. Opportunities remain significant at the application layer, especially in vertical directions that embed AI capabilities into specific industry workflows.