{"id":29175,"date":"2025-02-20T21:20:19","date_gmt":"2025-02-20T13:20:19","guid":{"rendered":"https:\/\/www.1ai.net\/?p=29175"},"modified":"2025-02-20T21:20:19","modified_gmt":"2025-02-20T13:20:19","slug":"%e9%98%bf%e9%87%8c%e5%b0%86%e6%8e%a8%e5%87%ba%e5%9f%ba%e4%ba%8e-qwen2-5-max-%e7%9a%84%e6%b7%b1%e5%ba%a6%e6%8e%a8%e7%90%86%e6%a8%a1%e5%9e%8b","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/29175.html","title":{"rendered":"Ali to Launch Deep Inference Model Based on Qwen2.5-MAX"},"content":{"rendered":"<p>Feb. 20 (Bloomberg) -- According to Sina Tech.<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e9%98%bf%e9%87%8c\" title=\"[View articles tagged with [Ali]]\" target=\"_blank\" >Ali<\/a>Alibaba Group CEO Wu Yongming said at the Q3 FY2025 earnings conference that Ali will soon release a Qwen2.5-MAX based on the Qianwen<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e6%b7%b1%e5%ba%a6%e6%8e%a8%e7%90%86%e6%a8%a1%e5%9e%8b\" title=\"[Sees articles with [Deep Logic Model] labels]\" target=\"_blank\" >deep inference model<\/a>.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-29176\" title=\"3af52826j00srzgxq00kdd000mi00u0p\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/02\/3af52826j00srzgxq00kdd000mi00u0p.jpg\" alt=\"3af52826j00srzgxq00kdd000mi00u0p\" width=\"810\" height=\"1080\" \/><\/p>\n<p>1AI notes that on January 29th, on the occasion of the New Year, AliCloud announced its new Tongyi Thousand Questions Qwen 2.5-Max hyperscale MoE model, which is claimed to have been tested in a number of benchmarks<strong>Beyond DeepSeek V3<\/strong>\u00a0and other competitors.<\/p>\n<p>AliCloud then announced that Qwen2.5-Max outperformed models such as DeepSeek-V3, Open AI o1-mini and Claude-3.5-Sonnet in the Chatbot Arena large model blind test, and ranked seventh in the world with a score of 1332.<strong>Also the non-reasoning Chinese Grand Modeling Champion<\/strong>. Meanwhile, Qwen2.5-Max ranked first in individual competencies such as Math and Programming, and second in Hard prompts (Hard prompts).<\/p>","protected":false},"excerpt":{"rendered":"<p>On 20 February, according to Sino-Technologies, the CEO U Miyomiya group stated at the third quarter of the 2025 fiscal year that an in-depth reasoning model based on Qwen2.5-MAX would be published in the near future. 1AI noted that on January 29th, on the New Year's Day, Aliyun released its new generic Qwen 2.5-Max super-large MoE model, known as going beyond competitors like DeepSeek V3 in multiple benchmark tests. Aliyun then announced that Qwen2.5-Max had surpassed DeepSeek-V3, Open AI o1-Mini and Claude in the Chatbot Arena Big Model Blindness<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[5556,1759],"collection":[],"class_list":["post-29175","post","type-post","status-publish","format-standard","hentry","category-news","tag-5556","tag-1759"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/29175","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=29175"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/29175\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=29175"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=29175"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=29175"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=29175"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}