Alibaba Unveils Qwen 2.5-Max, Claims It Surpasses DeepSeek

Alibaba has released Qwen 2.5-Max, the latest version of its AI model, claiming it outperforms DeepSeek-V3 and other top AI models, including OpenAI’s GPT-4o and Meta’s Llama-3.1-405B.

The announcement’s timing  – on the first day of the Lunar New Year, when most businesses in China are closed, highlights the urgency of Alibaba’s response to DeepSeek’s rapid rise.

DeepSeek’s advancements have shaken both Silicon Valley and China’s domestic AI market in just three weeks, leading to intense competition among Chinese tech giants.

DeepSeek’s Disruption

DeepSeek made waves with its DeepSeek-V3 model in early January, followed by the R1 model on January 20. These releases stunned the AI industry with their low development costs and high performance. The affordability of DeepSeek’s models has put pressure on AI companies worldwide, forcing them to rethink their spending strategies.

Within China, DeepSeek’s success has sparked a rush among competitors to release upgraded models. ByteDance, the parent company of TikTok, launched a new version of its AI model just days after DeepSeek-R1, claiming it outperformed OpenAI’s o1 on benchmark tests.

The AI Price War

DeepSeek’s disruption began last May with the release of DeepSeek-V2, which was open-source and significantly cheaper than existing AI models. At just 1 yuan ($0.14) per million tokens, it triggered a price war among Chinese AI companies. In response, Alibaba slashed prices on its own AI models by up to 97%, with Baidu and Tencent following suit.

DeepSeek operates with a lean team of young graduates and researchers, contrasting with China’s larger tech firms, which have high operational costs and rigid corporate structures. Founder Liang Wenfeng has emphasized that DeepSeek is focused on achieving artificial general intelligence (AGI), not on competing in price wars.

What’s Next?

With Alibaba’s latest release, competition in China’s AI market is only intensifying. The rapid cycle of model upgrades suggests that innovation, rather than scale or pricing power, may determine the future leaders in AI.

While DeepSeek’s breakthroughs have challenged both U.S. and Chinese AI giants, Alibaba’s Qwen 2.5-Max is a clear sign that established tech firms are not backing down. The AI race in China—and globally—is far from over.

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.