Alibaba’s QWQ-32B is a 32-billion-parameter AI designed for mathematical reasoning and coding. Unlike massive models, it maintains efficiency by using reinforcement learning to refine performance. This makes it highly capable without the need for excessive computational power.

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 Cloud on Thursday launched QwQ-32B, a compact reasoning model built on its latest large language model (LLM), Qwen2.5-32b, one it says delivers performance comparable to other large cutting edge models, including Chinese rival DeepSeek and OpenAI’s o1, with only 32 billion parameters.

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

Chinese companies are continuing to make big strides in artificial intelligence, as Alibaba (NYSE:BABA) unveiled its latest reasoning model with fewer parameters that rivals DeepSeek's R1 and OpenAI's o1 mini.