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.

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

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

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.

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.

In 2017, through its Next Generation AI Development Plan, the Chinese Communist Party (CCP) declared AI a cornerstone of its economic transformation strategy, aiming to position AI as a fundamental catalyst for economic change by 2025 and establish China as the global leader in AI by 2030 to challenge and surpass the U.S.