{"id":48936,"date":"2026-01-20T11:39:53","date_gmt":"2026-01-20T03:39:53","guid":{"rendered":"https:\/\/www.1ai.net\/?p=48936"},"modified":"2026-01-20T11:39:53","modified_gmt":"2026-01-20T03:39:53","slug":"%e6%99%ba%e8%b0%b1-glm-4-7-flash-%e6%a8%a1%e5%9e%8b%e5%8f%91%e5%b8%83%e5%b9%b6%e5%bc%80%e6%ba%90%ef%bc%8c%e5%8f%af%e5%85%8d%e8%b4%b9%e8%b0%83%e7%94%a8","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/48936.html","title":{"rendered":"Genre GLM-4.7-Flash model release and open source, free of charge"},"content":{"rendered":"<p>The news of January 20th<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> GLM-4.7-Flash Model officially released today (20 January)<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>.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-48937\" title=\"94e0a26bj00t958tm000gd000dg0070p\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2026\/01\/94e0a26bj00t958tm000gd000dg0070p.jpg\" alt=\"94e0a26bj00t958tm000gd000dg0070p\" width=\"484\" height=\"252\" \/><\/p>\n<p>GM-4.7-Flash<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e6%b7%b7%e5%90%88%e6%80%9d%e8%80%83%e6%a8%a1%e5%9e%8b\" title=\"[Sees articles with labels]\" target=\"_blank\" >Mixed Thinking Model<\/a>,<strong>THE TOTAL PARAMETER IS 30B AND THE ACTIVATED PARAMETER IS 3B<\/strong>IT IS STATED THAT AS A HOMOGENOUS SOTA MODEL, IT PROVIDES A NEW OPTION TO BALANCE PERFORMANCE AND EFFICIENCY IN LIGHT QUANTITATIVE DEPLOYMENTS\u3002<\/p>\n<p>As of this day, the GLM-4.7-Flash will replace GLM-4.5-Flash, which will be on-line at BigModel.cn on the open spectroscopy platform<strong>And for free call<\/strong>.<\/p>\n<p>GLM-4.7-Flash combined outperformed gpt-oss-20b, Qwen3-30B-A3B-Thinking-2507 in mainstream benchmark tests such as SWE-bench Verified, 2-Bench, etc<strong>OPEN SOURCE SOTA FRACTIONS IN THE SAME AND APPROXIMATE SIZE MODEL SERIES<\/strong>.<\/p>\n<p>In internal programming exercises, GM-4.7-Flash performed well on front- and back-end missions. In addition to programming scenes, users are also recommended to experience GM-4.7-Flash in common settings such as Chinese writing, translation, long text, emotional\/role play\u3002<\/p>\n<p>It needs to be noted that the last generation of free language models\u00a0<strong>GM-4.5-Flash will be offline on January 30, 2026<\/strong>, the user needs to update the model code in a timely manner. GLM-4.5-Flash will be automatically routed to GLM-4.7-Flash when officially offline\u3002<\/p>\n<p>1AI with GLM-4.7-Flash open source addresses as follows:<\/p>\n<ul>\n<li>Hugging Face: https:\/\/huggingface.co\/zai-org\/GLM-4.7-Flash<\/li>\n<li>Modified Community: https:\/\/moderscope.cn\/models\/ZhipuAI\/GLM-4.7-Flash<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>On January 20, the IQ-GLM-4.7-Flash model was officially released and opened today, January 20th. GLM-4.7-Flash is a hybrid thinking model with a total parameter of 30B and a activated parameter of 3B, claiming to be a homogenous SOTA model, providing a new option for light quantification deployments that takes into account performance and efficiency. As of this date, the GLM-4.7-Flash will replace the GLM-4.5-Flash and will be on-line at BigModel.cn on the open spectrograph platform and will be available for free call. Integrated GLM-4.7-Flash in mainstream benchmark tests for SWE-bench Verified, 2-Bench, etc<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[219,2680,8166],"collection":[],"class_list":["post-48936","post","type-post","status-publish","format-standard","hentry","category-news","tag-219","tag-2680","tag-8166"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/48936","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=48936"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/48936\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=48936"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=48936"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=48936"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=48936"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}