{"id":2237,"date":"2025-01-29T10:10:26","date_gmt":"2025-01-29T10:10:26","guid":{"rendered":"https:\/\/fusionmindlabs.com\/blogs\/2025\/01\/29\/qwen-2-5-beats-deepseek-v3-in-some-benchmarks\/"},"modified":"2025-01-29T10:10:26","modified_gmt":"2025-01-29T10:10:26","slug":"qwen-2-5-beats-deepseek-v3-in-some-benchmarks","status":"publish","type":"post","link":"https:\/\/fusionmindlabs.com\/blogs\/qwen-2-5-beats-deepseek-v3-in-some-benchmarks\/","title":{"rendered":"Qwen 2.5 Beats DeepSeek V3 in Some Benchmarks"},"content":{"rendered":"\n<\/p>\n<h1>Alibaba Unveils Qwen 2.5-Max: A Breakthrough Large-Scale Model<\/h1>\n<h2>Overview of Qwen 2.5-Max<\/h2>\n<p>Alibaba has introduced Qwen 2.5-Max, its latest Mixture-of-Experts (MoE) large-scale model, as a response to DeepSeek. This model boasts pretraining on over 20 trillion tokens and fine-tuning through cutting-edge techniques like Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF).<\/p>\n<h2>Availability and Exploration<\/h2>\n<p>The Qwen 2.5-Max model is now available through Alibaba Cloud, and developers and researchers can explore it via Qwen Chat. This allows users to experience Alibaba&#8217;s breakthroughs firsthand.<\/p>\n<h2>Outperforming Peers<\/h2>\n<p>When comparing Qwen 2.5-Max&#8217;s performance against prominent AI models on various benchmarks, the results are promising. Evaluations included popular metrics like the MMLU-Pro for college-level problem-solving, LiveCodeBench for coding expertise, LiveBench for overall capabilities, and Arena-Hard for assessing models against human preferences.<\/p>\n<h2>Performance Comparison<\/h2>\n<p>According to Alibaba, &quot;Qwen 2.5-Max outperforms DeepSeek V3 in benchmarks such as Arena-Hard, LiveBench, LiveCodeBench, and GPQA-Diamond, while also demonstrating competitive results in other assessments, including MMLU-Pro.&quot;<\/p>\n<h2>Industry Events and Webinars<\/h2>\n<p>Want to learn more about AI and big data from industry leaders? Check out AI &amp; Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security &amp; Cloud Expo.<\/p>\n<p>Explore other upcoming enterprise technology events and webinars powered by TechForge here.<\/p>\n<h2>Tags<\/h2>\n<ul>\n<li>AI<\/li>\n<li>Alibaba<\/li>\n<li>Artificial Intelligence<\/li>\n<li>Models<\/li>\n<li>Qwen<\/li>\n<li>Qwen 2.5<\/li>\n<\/ul>\n\n<br \/><a href=\"https:\/\/www.artificialintelligence-news.com\/news\/qwen-2-5-max-outperforms-deepseek-v3-some-benchmarks\/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=qwen-2-5-max-outperforms-deepseek-v3-some-benchmarks\" rel=\"nofollow noopener\" target=\"_blank\">Source Link<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Alibaba Unveils Qwen 2.5-Max: A Breakthrough Large-Scale Model Overview of Qwen 2.5-Max Alibaba has introduced Qwen 2.5-Max, its latest Mixture-of-Experts (MoE) large-scale model, as a response to DeepSeek. This model&#8230;<\/p>\n","protected":false},"author":19,"featured_media":2238,"comment_status":"","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[48],"tags":[],"class_list":["post-2237","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai-news"],"jetpack_featured_media_url":"https:\/\/fusionmindlabs.com\/blogs\/wp-content\/uploads\/sites\/9\/2025\/01\/Qwen2.5-max-alibaba-qwen-2.5-deepseek-v3-ai-models-artificial-intelligence-benchmarks.jpg","_links":{"self":[{"href":"https:\/\/fusionmindlabs.com\/blogs\/wp-json\/wp\/v2\/posts\/2237","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fusionmindlabs.com\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fusionmindlabs.com\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fusionmindlabs.com\/blogs\/wp-json\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/fusionmindlabs.com\/blogs\/wp-json\/wp\/v2\/comments?post=2237"}],"version-history":[{"count":0,"href":"https:\/\/fusionmindlabs.com\/blogs\/wp-json\/wp\/v2\/posts\/2237\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/fusionmindlabs.com\/blogs\/wp-json\/wp\/v2\/media\/2238"}],"wp:attachment":[{"href":"https:\/\/fusionmindlabs.com\/blogs\/wp-json\/wp\/v2\/media?parent=2237"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fusionmindlabs.com\/blogs\/wp-json\/wp\/v2\/categories?post=2237"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fusionmindlabs.com\/blogs\/wp-json\/wp\/v2\/tags?post=2237"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}