{"id":53928,"date":"2026-06-18T11:23:54","date_gmt":"2026-06-18T03:23:54","guid":{"rendered":"https:\/\/www.1ai.net\/?p=53928"},"modified":"2026-06-18T11:23:54","modified_gmt":"2026-06-18T03:23:54","slug":"%e6%99%ba%e8%b0%b1%e5%bc%80%e6%ba%90-glm-5-2%ef%bc%8c%e4%b8%bb%e6%89%93-1m-%e4%b8%8a%e4%b8%8b%e6%96%87%e5%92%8c%e9%95%bf%e7%a8%8b-coding-%e4%bb%bb%e5%8a%a1","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/53928.html","title":{"rendered":"GLM-5.2, main playing 1M context and long-range coding tasks"},"content":{"rendered":"<p>June 18th.<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e6%99%ba%e8%b0%b1\" title=\"[View articles tagged with [Smart Spectrum]]\" target=\"_blank\" >Zhipu<\/a>Yesterday's announcement on the line<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e5%bc%80%e6%ba%90\" title=\"[View articles tagged with [open source]]\" target=\"_blank\" >Open Source<\/a> GLM-5.2, new model focused on Coding and a long-range mission\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-53929\" title=\"6e1f5feej00tgt5ex0025d000ujm\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2026\/06\/6e1f5feej00tgt5ex0025d000u000jhm.jpg\" alt=\"6e1f5feej00tgt5ex0025d000ujm\" width=\"1080\" height=\"701\" \/><\/p>\n<p>GLM-5.2 has an automated research, performance optimization, complex system engineering and deep debugging, etc. Coding Agent scenario training<\/p>\n<p>In the FrontierSWE long-range mission assessment, GLM-5.2 Max 10 Hrs scored 72.6%, down from 74.4% of Claude Opus 4.8 Max 20 Hrs, up from 63.0% of Claude Opus 4.7 Max 10 Hrs\u3002<\/p>\n<p>The model also introduces effort level thought-level control, which can switch between capacity, speed and cost. On the other hand, GLM-5.2 is known as the Day 0 fit for China's power platform, which is based on Chinese power, Hiranko, Moor, Cold Wu, Quinchurch, mussel, sea light, walls, etc\u3002<\/p>\n<p>\ud83d\udcbb GitHub: github.com\/zai-org\/GLM-5<\/p>\n<p>Hugging Face: Huggingface.co\/zai-org\/GLM-5.2<\/p>\n<p>\ud83d\udc7eModelScope: modelscope.cn\/models\/ZhipuAI\/GLM-5.2<\/p>","protected":false},"excerpt":{"rendered":"<p>On June 18, according to the news, the think-tank announced yesterday to be online and open-source GM-5.2, the new model focused on Coding and the long-range mission. GLM-5.2 has an automated research, performance optimization, complex system engineering, and deep debugging Coding Agent scenario training; In the FrontierSWE long-range mission assessment, GLM-5.2 Max 10 Hrs scores 72.61 T33T, down from 74.4% of Claude Opus 4.8 Max 20 Hrs, higher than Claude Opus 4.7 Max 10 Hrs 63.0%. The model also introduces effort<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[219,2680],"collection":[],"class_list":["post-53928","post","type-post","status-publish","format-standard","hentry","category-news","tag-219","tag-2680"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/53928","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=53928"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/53928\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=53928"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=53928"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=53928"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=53928"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}