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

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

This remarkable outcome underscores the effectiveness of RL when applied to robust foundation models pre-trained on extensive world knowledge.'

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 Group's release of an artificial intelligence (AI) reasoning model, which it said was on par with global hit DeepSeek's R1, drove its Hong Kong-listed shares more than 8% higher on Thursday.

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