Chinese Labs Dominate the Open Model Frontier in 2026
State of Open Models: Summer 2026 Observations
Hugging Face's biannual analysis of the open model ecosystem from January to August 2026 reveals a dramatic shift: Chinese labs now release the largest and most performant open models, with monthly parameter counts reaching up to 2.78 trillion, while U.S. labs stay under 130B except for a few exceptions. The report highlights that attention (likes) and adoption (downloads) are diverging, with only one model appearing in both top 25 lists. Qwen has become the community's base model with 151,448 derivatives, and small models under 1B still dominate downloads. Open weights are shifting value to APIs, hardware, and ecosystem positions, with Chinese labs licensing their largest models permissively (Apache 2.0 or MIT). The runtime layer, especially llama.cpp, is growing fastest, enabling trillion-parameter models to run locally.
The ceiling moved with llama.cpp. Local inference used to mean an 8B model on a laptop. It now means a trillion-parameter mixture-of-experts spread across a few consumer machines.