Cheaper Chinese AI models overtake US rivals in developer usage

OpenRouter, the aggregation platform that routes developers’ API calls across dozens of AI systems, reports that open-weight models built by Chinese labs now run more than three times the weekly token volume of American models. The reason is because Chinese models that are nearly equivalent to their U.S.

counterparts cost a fraction as much. Price has become a deciding factor for developers optimizing with AI. Chinese models hold the top spots in LLM adoption.

Source: OpenRouter. Why are Chinese AI models becoming more popular? OpenAI and Anthropic sell access to closed models at a premium per token, while labs such as DeepSeek, Moonshot, and Zhipu publish weights developers can download and run without paying a per-token toll.

As of late June, the six most-used models on OpenRouter were all open releases from Chinese firms, including Tencent, Xiaomi, DeepSeek, MiniMax, and Z.ai. For context, in a Cryptopolitan comparison, Zhipu GLM 5.

2 runs at $1.40 per million input tokens and $4.40 per million output tokens compared to $5 and $25 for Anthropic’s Opus 4.

8. During the week of February 9 to 15, 2026, Chinese models handled 4.12 trillion tokens on OpenRouter while U.

S. models handled 2.94 trillion.

This was the first week that the American side of the industry lost. Through most of 2025, U.S.

systems had held close to 70% of top-model usage. Chinese open-weight models are also dominating downloads. Data shows that they made up 41% of Hugging Face downloads this spring, bypassing U.

S. releases. Vercel’s Production Index, published in July, found that open-weight models accounted for 29% of all tokens on its AI gateway in June 2026, up from 11% in April.

Those models handled close to a third of tokens while drawing under 4% of spending. DeepSeek alone drove 22.6% of the gateway’s token volume, placing it third behind Google.

Why are industries adopting Chinese technology? Cryptopolitan reported that a KPMG survey of 2,145 senior leaders found 29% of them cannot underst