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.

Albibab Cloud’s latest model rivals much larger competitors with just 32 billion parameters in what it views as a critical step towards AGI.

The model operates with 32 billion parameters compared to DeepSeek's 671 billion, with only 37 billion actively engaged during inference, a design aimed at achieving higher efficiency amid rising demand for optimized AI performance.

Hong-Kong listed shares (HK:9988) jumped over 8% today, after the company launched its new open-source AI (artificial intelligence) model, which challenges DeepSeek’s R1 model. Alibaba’s AI unit, Qwen,

Alibaba released and open-sourced its new reasoning model, QwQ-32B, featuring 32 billion parameters. Despite being significantly smaller than

New AI contender. Chinese companies are continuing to make big strides in artificial intelligence, as Alibaba unveiled its latest reasoning model with fewer parameters than existi