{"id":21788,"date":"2025-03-06T14:48:21","date_gmt":"2025-03-06T12:48:21","guid":{"rendered":"https:\/\/forklog.com\/en\/alibaba-unveils-thinking-ai-model-qwq-32\/"},"modified":"2025-03-06T14:48:21","modified_gmt":"2025-03-06T12:48:21","slug":"alibaba-unveils-thinking-ai-model-qwq-32","status":"publish","type":"post","link":"https:\/\/forklog.com\/en\/alibaba-unveils-thinking-ai-model-qwq-32\/","title":{"rendered":"Alibaba Unveils &#8216;Thinking&#8217; AI Model QwQ-32"},"content":{"rendered":"<p>Chinese firm Alibaba has introduced the QwQ-32, an AI model focused on reasoning. With 32 billion parameters, it is purportedly capable of competing with leading solutions from rivals like DeepSeek-R1, which boasts 671 billion parameters.<\/p>\n<blockquote class=\"twitter-tweet\">\n<p lang=\"en\" dir=\"ltr\">Today, we release QwQ-32B, our new reasoning model with only 32 billion parameters that rivals cutting-edge reasoning model, e.g., DeepSeek-R1.<\/p>\n<p>Blog: <a href=\"https:\/\/t.co\/zCgACNdodj\">https:\/\/t.co\/zCgACNdodj<\/a><br \/>HF: <a href=\"https:\/\/t.co\/pfjZygOiyQ\">https:\/\/t.co\/pfjZygOiyQ<\/a><br \/>ModelScope: <a href=\"https:\/\/t.co\/hcfOD8wSLa\">https:\/\/t.co\/hcfOD8wSLa<\/a><br \/>Demo: <a href=\"https:\/\/t.co\/DxWPzAg6g8\">https:\/\/t.co\/DxWPzAg6g8<\/a><br \/>Qwen Chat:\u2026 <a href=\"https:\/\/t.co\/kfvbNgNucW\">pic.twitter.com\/kfvbNgNucW<\/a><\/p>\n<p>\u2014 Qwen (@Alibaba_Qwen) <a href=\"https:\/\/twitter.com\/Alibaba_Qwen\/status\/1897361654763151544?ref_src=twsrc%5Etfw\">March 5, 2025<\/a><\/p><\/blockquote>\n<p> <script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<p>The company has integrated agent capabilities and critical thinking into the neural network. QwQ-32&#8217;s performance is comparable to models from DeepSeek and OpenAI across several benchmarks assessing mathematical abilities, programming skills, and general problem-solving capabilities.<\/p>\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh7-qw.googleusercontent.com\/docsz\/AD_4nXfb2xgCe88sDtCfH_thh6a_xdOJ-yuDQfz3PIzFozU36kbx5ovSJ8GIlrD5_ivNXfjZnpxUR-xTsMftmI8q3s0axwFCwym_Ev7pU4mcRShCZ18Mr1bgRx_86ZOBWzWrNtlc-JX5GQ?key=Mh_khfm5mS28PRKgIRtL4ScZ\" alt=\"Alibaba \u0432\u044b\u043f\u0443\u0441\u0442\u0438\u043b\u0430 \u00ab\u0434\u0443\u043c\u0430\u044e\u0449\u0443\u044e\u00bb \u0418\u0418-\u043c\u043e\u0434\u0435\u043b\u044c QwQ-32\"\/><figcaption class=\"wp-element-caption\">Data: <a href=\"https:\/\/qwenlm.github.io\/blog\/qwq-32b\/\">Alibaba<\/a>.<\/figcaption><\/figure>\n<p>The new neural network is available in Qwen Chat, where users can select various models, including the most powerful \u2014 <a href=\"https:\/\/forklog.com\/en\/news\/alibaba-unveils-a-challenger-to-deepseek\">Qwen2.5-Max<\/a>.<\/p>\n<p>Alibaba&#8217;s shares rose by 8% during the trading session on March 5.<\/p>\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh7-qw.googleusercontent.com\/docsz\/AD_4nXdWsl0jLi4NbwhW5JW8ocbv8aOfaft7FsnfRdTSUL0yc0-FOJHdMgx_cSSYGtAcU0zTugwgB1c6pChXMHal7Sg5PecgPonwDWG_oaJsds5HYbxpmKp6K2-P1jHH4bX9kxw8rhBJ?key=Mh_khfm5mS28PRKgIRtL4ScZ\" alt=\"Alibaba \u0432\u044b\u043f\u0443\u0441\u0442\u0438\u043b\u0430 \u00ab\u0434\u0443\u043c\u0430\u044e\u0449\u0443\u044e\u00bb \u0418\u0418-\u043c\u043e\u0434\u0435\u043b\u044c QwQ-32\"\/><figcaption class=\"wp-element-caption\">Data: <a href=\"https:\/\/finance.yahoo.com\/quote\/BABA\/\">Yahoo Finance<\/a>.<\/figcaption><\/figure>\n<p>In November 2024, Alibaba <a href=\"https:\/\/forklog.com\/en\/news\/alibaba-unveils-ai-model-focused-on-reasoning\">introduced<\/a> the &#8216;reasoning-oriented&#8217; AI model QwQ-32B-Preview.<\/p>\n<p>Previously, the company <a href=\"https:\/\/forklog.com\/en\/news\/alibabas-new-ai-models-surpass-gpt-4o-in-mathematics\">launched a group<\/a> of neural networks focused on mathematics called Qwen2-Math, which &#8216;outperform GPT-4o and Claude 3.5&#8217; in this domain.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Chinese firm Alibaba has introduced the QwQ-32, an AI model focused on reasoning. With 32 billion parameters, it is purportedly capable of competing with leading solutions from rivals like DeepSeek-R1, which boasts 671 billion parameters. Today, we release QwQ-32B, our new reasoning model with only 32 billion parameters that rivals cutting-edge reasoning model, e.g., DeepSeek-R1. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":21787,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"select":"","news_style_id":"","cryptorium_level":"","_short_excerpt_text":"","creation_source":"","_metatest_mainpost_news_update":false,"footnotes":""},"categories":[3],"tags":[640,438],"class_list":["post-21788","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-analysis","tag-alibaba","tag-artificial-intelligence"],"aioseo_notices":[],"amp_enabled":true,"views":"56","promo_type":"","layout_type":"","short_excerpt":"","is_update":"","_links":{"self":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/21788","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/comments?post=21788"}],"version-history":[{"count":0,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/21788\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/media\/21787"}],"wp:attachment":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/media?parent=21788"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/categories?post=21788"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/tags?post=21788"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}