Chinese fintech giant Ant Group has released a new open-source, trillion-parameter large language model (LLM) that boasts stronger maths and coding capabilities than rival models from DeepSeek and OpenAI, escalating the intense competition in artificial intelligence systems.<\/p>\n
The new general-purpose Ling-1T model, with 1 trillion parameters, demonstrated \u201csuperior complex reasoning ability and overall advantage\u201d against both open-source and closed-source rivals, the company said on Thursday.<\/p>\n
It outperformed other major AI models in areas including code generation, software development, competition-level maths and logical reasoning, according to the Hangzhou-based firm.<\/p>\n
Ling-1T, for instance, scored higher than DeepSeek-V3.1-Terminus<\/a>, Moonshot AI\u2019s Kimi-K2-0905<\/a>, as well as OpenAI\u2019s GPT-5-main on major benchmark platforms including LiveCodeBench and the American Invitational Mathematics Examination (AIME), according to Ant.<\/p>\n Ant is an affiliate of Alibaba Group Holding, the owner of the Post.<\/p>\n Ant also touted that on AIME, Ling-1T achieved an accuracy of 70.42 per cent at an average cost of over 4,000 output tokens per problem, on par with Google\u2019s Gemini-2.5-Pro and surpassing those from DeepSeek, OpenAI and Moonshot.<\/p>\n Ling-1T is Ant\u2019s second LLM with 1 trillion parameters. The company last month released Ring-1T-preview, which it claimed was the world\u2019s first open-source, trillion-parameter thinking model.<\/p>\n","protected":false},"excerpt":{"rendered":"Chinese fintech giant Ant Group has released a new open-source, trillion-parameter large language model (LLM) that boasts stronger…\n","protected":false},"author":2,"featured_media":112519,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[261],"tags":[291,8472,19024,5028,12597,42524,17211,289,290,381,5214,8736,18,2422,19,17,69662,14338,24535,307,82],"class_list":{"0":"post-112518","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-alibaba","10":"tag-alibaba-group-holding","11":"tag-alipay","12":"tag-ant","13":"tag-ant-group","14":"tag-artificial-general-intelligence","15":"tag-artificial-intelligence","16":"tag-artificialintelligence","17":"tag-china","18":"tag-chinese","19":"tag-deepseek","20":"tag-eire","21":"tag-hangzhou","22":"tag-ie","23":"tag-ireland","24":"tag-ling-1t","25":"tag-llm","26":"tag-moonshot-ai","27":"tag-openai","28":"tag-technology"},"share_on_mastodon":{"url":"","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts\/112518","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/comments?post=112518"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts\/112518\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/media\/112519"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/media?parent=112518"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/categories?post=112518"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/tags?post=112518"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}