{"id":51696,"date":"2026-03-31T11:41:16","date_gmt":"2026-03-31T03:41:16","guid":{"rendered":"https:\/\/www.1ai.net\/?p=51696"},"modified":"2026-03-31T11:41:16","modified_gmt":"2026-03-31T03:41:16","slug":"%e6%99%ba%e8%b0%b1-glm-5-turbo-%e7%99%bb%e9%a1%b6%ef%bc%8c%e5%ad%97%e8%8a%82%e3%80%81%e5%b0%8f%e7%b1%b3%e5%9b%9b%e6%ac%be%e6%a8%a1%e5%9e%8b%e8%b7%bb%e8%ba%ab%e5%85%a8%e7%90%83%e5%89%8d%e5%8d%81","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/51696.html","title":{"rendered":"Genre GLM-5-Turbo tops, bytes, millimetres, four models, top 10 worldwide"},"content":{"rendered":"<p>31 March, Agent Evaluation Agency <a href=\"https:\/\/www.1ai.net\/en\/tag\/clawbench\" title=\"_Other Organiser\" target=\"_blank\" >ClawBench<\/a> It was released yesterday<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e5%a4%a7%e6%a8%a1%e5%9e%8b\" title=\"[View articles tagged with [large models]]\" target=\"_blank\" >Large Model<\/a>Checklist, covering 30 complex Agent missions, covering five core business scenarios of office collaboration, information retrieval, content creation, data processing and software engineering\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-51697\" title=\"1d791ac1j00tqvfg0027d000u 000ium\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2026\/03\/1d791ac1j00tcqvfg0027d000u000ium.jpg\" alt=\"1d791ac1j00tqvfg0027d000u 000ium\" width=\"1080\" height=\"678\" \/><\/p>\n<p>This list includes over 40 major mainstream models, and the top 10 of the world's top four national production models, i.e., spectra, byte, and millimetres\u3002<\/p>\n<p>GLM-5-Turbo, with 93.9 points of CLAW SCORE at the top of the list, is the most highly performing model of the evaluation<\/p>\n<p>Byte beat Doubao-Seed-2.0-lite is second in 93.1 with only $0.33, the lowest in the list<\/p>\n<p>MiMo-V2-Omni is ranked 9th in 91.2 and runs at the fastest speed and takes only 848 seconds to complete the full task flow\u3002<\/p>\n<p>From the overall list, OpenAI GPT-54 ranks third in 92.2, Claude Opus 4.5 ranks seventh in 91.5, and Ali Qwen3.5-35B-A3B stands eighth in 91.4\u3002<\/p>\n<p>ClawBench uses a sandbox enforcement mechanism, where each model is designed to perform its tasks in a genuinely simulated business development environment and deliberately embeds engineering challenges such as \"unsatisfactory name \" \"missing directory\" \"date trap\"\u3002<\/p>\n<p>In terms of scoring, ClawBench introduced a \u201ctriple scoring mechanism\u201d with automated script assertions based on the type of task, front-line LLM acting as \u201cexpert assessor\u201d and a mixed rating that combines the weighting of the two, with a view to more accurately reflecting the actual deployment capacity of the model in a complex workflow\u3002<\/p>","protected":false},"excerpt":{"rendered":"<p>On March 31st, the Agent Evaluation Agency, ClawBench, yesterday issued an updated list of large models covering 30 complex Agent missions, covering five core business scenarios of office collaboration, information retrieval, content creation, data processing and software engineering. This list includes over 40 major mainstream models, and the top 10 of the world's top four national production models, i.e., spectra, byte, and millimetres. GLM-5-Turbo tops with 93.9 points of CLAW SCORE, making it the strongest model of combined performance in this evaluation; Byte beat Doubao-Seed-2.0-lite is second in 93.1 with only 1 TP4T0.33 at the cost of use<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[8422,216],"collection":[],"class_list":["post-51696","post","type-post","status-publish","format-standard","hentry","category-news","tag-clawbench","tag-216"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/51696","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=51696"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/51696\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=51696"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=51696"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=51696"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=51696"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}