Recently, the National Supercomputing Internet Platform announced a significant update: Alibaba's QwQ-32B inference large language model has been officially integrated into its Chatbot visualization dialogue service and API online calling service. This advancement means users can experience more intelligent and diverse dialogue services through the platform, covering various scenarios such as academic research, code generation, and daily inquiries.
It is understood that the QwQ-32B model was developed by Alibaba's Qwen team, built upon Qwen2.5-32B and reinforcement learning technology. It has demonstrated excellent performance in mathematics and code ability tests, particularly on the AIME24 evaluation set and LiveCodeBench. QwQ-32B's performance is comparable to DeepSeek-R1 and even surpasses other similar models, attracting significant industry attention.
To allow more users to experience this cutting-edge technology, the National Supercomputing Internet Platform is offering new registered users a free 1 million Tokens activity, encouraging exploration of its powerful multi-turn interaction and long-text parsing capabilities. The newly added Chat dialogue entry on the platform allows users to easily start interacting with QwQ-32B with a simple click, eliminating complex operations. This barrier-free experience significantly lowers the threshold for using intelligent dialogue systems and expands its application scenarios.
Over the past period, the API interface service of the National Supercomputing Internet Platform has accumulated over one million calls, demonstrating the huge market demand for this service. With the addition of QwQ-32B, the platform hopes to further enhance user experience and meet a wider range of needs.
In today's rapidly developing artificial intelligence landscape, providing efficient and intelligent dialogue services has become a goal pursued by major companies. The launch of Alibaba's QwQ-32B undoubtedly contributes to achieving this goal and opens up new possibilities for future AI application scenarios.
