{"id":209734,"date":"2025-03-25T17:10:54","date_gmt":"2025-03-25T22:10:54","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/03\/deepseek-wows-coders-with-more-powerful-open-source-v3-model"},"modified":"2025-03-25T17:10:54","modified_gmt":"2025-03-25T22:10:54","slug":"deepseek-wows-coders-with-more-powerful-open-source-v3-model","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/03\/deepseek-wows-coders-with-more-powerful-open-source-v3-model","title":{"rendered":"DeepSeek wows coders with more powerful open-source V3 model"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/deepseek-wows-coders-with-more-powerful-open-source-v3-model.jpg\"><\/a><\/p>\n<p>The DeepSeek-V3-0324, named after its predecessor and the launch date, has \u201cenhanced reasoning capabilities, optimised front-end web development and upgraded Chinese writing proficiency\u201d, according to a notice on the company\u2019s website.<\/p>\n<p>The new version and DeepSeek V3 are both foundation models trained on vast data sets that can be applied in different use cases, including that of a chatbot. DeepSeek R1, the reasoning model, is based on DeepSeek V3.<\/p>\n<p>The updated foundation model has made improvements in several benchmarks, especially the American Invitational Mathematics Examination (AIME), where it scored 59.4 compared with 39.6 for its predecessor, while achieving an increase of 10 points on LiveCodeBench to achieve 49.2, DeepSeek data showed.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The DeepSeek-V3-0324, named after its predecessor and the launch date, has \u201cenhanced reasoning capabilities, optimised front-end web development and upgraded Chinese writing proficiency\u201d, according to a notice on the company\u2019s website. The new version and DeepSeek V3 are both foundation models trained on vast data sets that can be applied in different use cases, including [\u2026]<\/p>\n","protected":false},"author":718,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2229,6],"tags":[],"class_list":["post-209734","post","type-post","status-publish","format-standard","hentry","category-mathematics","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/209734","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/718"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=209734"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/209734\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=209734"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=209734"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=209734"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}