Reports indicate that the National Supercomputing Internet Platform has integrated Alibaba's Qwen large language model, officially providing the QwQ-32B API service. Users can access up to 1 million tokens free of charge, offering a valuable opportunity for developers and researchers. QwQ-32B is the latest open-source inference model from Alibaba's Tongyi team, demonstrating excellent performance. According to multiple authoritative benchmark tests, QwQ-32B's capabilities rival those of a fully-fledged 671B model.

Alibaba has open-sourced Babel, a powerful multilingual large language model capable of supporting 25 languages and impacting nearly 90% of the world's population. This release aims to democratize access to advanced AI technologies globally.

Alibaba has open-sourced its new inference model, Tongyi Qianwen QwQ-32B, enabling users with consumer-grade GPUs to achieve surprisingly high performance. This makes advanced AI capabilities accessible to a wider audience.

Alibaba has open-sourced a new inference large language model, QwQ-32B. Benchmarks show performance comparable to DeepSeek-R1, but with significantly reduced VRAM requirements.

Alibaba Tongyi Lab has open-sourced ViDoRAG, a novel visual document retrieval and question answering system. ViDoRAG boasts impressive accuracy, achieving a remarkable 79.4% in benchmark tests. This system represents a significant advancement in the field of computer vision and information retrieval.

According to the latest rankings released by the Hugging Face open-source community, Alibaba's Wanxiang large model, after only 6 days of open-sourcing, has surpassed DeepSeek-R1 to claim the top spot on both the trending models and model hub leaderboards. This achievement not only highlights Wanxiang's superior technical performance but also reflects its widespread recognition and influence within the global open-source community.

Alibaba officially announced the launch of its 2026 Spring Internship recruitment drive, opening over 3000 positions. Nearly 50% of these roles are related to Artificial Intelligence (AI). Some departments show an even stronger AI focus, with approximately 65% in AutoNavi (Amap) and over 80% in Alibaba Cloud. This reflects Alibaba's growing emphasis on AI technology. The recruitment drive spans multiple departments including Alibaba Group Holding, Alibaba Cloud, AutoNavi, Tongyi Lab, Ele.me, and Lynx.

Alibaba today announced the full open-sourcing of its video generation model, Wanxiang 2.1, releasing both a 14B and a 1.3B parameter version. The professional 14B parameter version offers top-tier performance, suitable for scenarios demanding high video quality. The 1.3B parameter version, optimized for consumer-grade GPUs, requires only 8.2GB of VRAM to generate high-quality 480P videos and is ideal for secondary model development and academic research. According to Alibaba, Wanxiang 2.1 excels in handling complex movements, accurately representing real-world physics, and enhancing the cinematic quality of generated videos.

Following its latest financial report, Alibaba Group announced a significant forum to be held on February 28th. Hosted by its research arm, DAMO Academy, the event, titled "2025 XuanTie RISC-V Ecosystem Conference," will feature a keynote speech by DAMO Academy's chief scientist on "Opportunities for RISC-V from DeepSeek Innovation." The conference will also see the launch of the XuanTie RISC-V series of chips. Notably, Alibaba Group CEO, Wu Yongming, announced yesterday that the company plans to invest significantly over the next three years.

On February 25th, Alibaba announced the launch of QwQ-Max-Preview, a reasoning model based on Qwen2.5-Max, and plans to fully open-source its latest reasoning models, QwQ-Max and Qwen2.5-Max. The released QwQ-Max-Preview is a preview version. Alibaba stated that the official version will be released soon and fully open-sourced under the Apache2.0 license. Unlike previous releases, this open-sourcing includes not only the model itself but also smaller versions such as Q...