While DeepSeek-R1 operates with 671 billion parameters, QwQ-32B achieves comparable performance with a much smaller footprint.

Alibaba developed QwQ-32B through two training sessions. The first session focused on teaching the model math and coding skills. To support the learning process, Alibaba set up a server that ran the code QwQ-32B produced during training and checked it for errors.

Alibaba launched new reasoning model comparable to DeepSeek's R1, pledged increased support for AI in China, and committed $53B to cloud and AI infrastructure.