{"id":1140,"date":"2026-06-17T23:58:00","date_gmt":"2026-06-17T23:58:00","guid":{"rendered":"https:\/\/futurenews24.com\/index.php\/2026\/06\/17\/atom-everything-10\/"},"modified":"2026-06-18T01:59:25","modified_gmt":"2026-06-18T01:59:25","slug":"atom-everything-10","status":"publish","type":"post","link":"https:\/\/futurenews24.com\/index.php\/2026\/06\/17\/atom-everything-10\/","title":{"rendered":"GLM-5.2 might be essentially the most highly effective text-only open weights LLM"},"content":{"rendered":"<p><br \/>\n<\/p>\n<div data-permalink-context=\"\/2026\/Jun\/17\/glm-52\/\">\n<h2>GLM-5.2 might be essentially the most highly effective text-only open weights LLM<\/h2>\n<p class=\"mobile-date\">seventeenth June 2026<\/p>\n<p>Chinese language AI lab Z.ai launched GLM-5.2 to their coding plan subscribers on June thirteenth, after which yesterday (June sixteenth) launched the complete open weights underneath an MIT license. Comparable in measurement to their earlier GLM-5 and GLM-5.1 releases, that is 753B parameter, 1.51TB monster\u2014with 40 energetic parameters (Combination of Specialists). GLM-5.2 is a textual content enter solely mannequin\u2014Z.ai have a separate imaginative and prescient household most not too long ago represented by GLM-5V-Turbo, however that one isn\u2019t open weights. GLM-5.2 has a 1 million token context window, up from GLM-5.1\u2019s 200,000.<\/p>\n<p>The thrill round this mannequin is powerful.<\/p>\n<p>Synthetic Evaluation, who run some of the extensively revered unbiased benchmarks: GLM-5.2 is the brand new main open weights mannequin on the Synthetic Evaluation Intelligence Index.<\/p>\n<blockquote>\n<p>GLM-5.2 is the main open weights mannequin on the Intelligence Index v4.1. At 51, it leads MiniMax-M3 (44), DeepSeek V4 Professional (max, 44) and Kimi K2.6 (43)<\/p>\n<\/blockquote>\n<p>They did nonetheless discover it to be fairly token-hungry:<\/p>\n<blockquote>\n<p>GLM-5.2 makes use of extra output tokens per job than different main open weights fashions: the mannequin makes use of 43k output tokens per Intelligence Index job, up from GLM-5.1 (26k) and above MiniMax-M3 (24k), Kimi K2.6 (35k) and DeepSeek V4 Professional (max, 37k)<\/p>\n<\/blockquote>\n<p>The mannequin can be now ranked 2nd on the Code Area WebDev leaderboard, behind solely Claude Fable 5. That leaderboard measures \u201cfront-end net growth duties, together with agentic coding workflows\u201d. I\u2019m impressed to see it rank so extremely given the shortage of picture enter, which I had incorrectly assumed was a key a part of constructing a really nice frontend coding mannequin.<\/p>\n<p>I\u2019ve been making an attempt it out by way of OpenRouter, which has it from 9 completely different suppliers, virtually all of that are charging $1.40\/million for enter and $4.40\/million for output. For comparability, GPT-5.5 is $5\/$30 and Claude Opus 4.5-4.8 is $5\/$25.<\/p>\n<h4 id=\"excellent-pelican-disappointing-opossum\">Glorious pelican, disappointing opossum<\/h4>\n<p>GLM-5.1 gave me one in every of my favourite pelicans and my all time favourite opossum (for the immediate \u201cGenerate an SVG of a NORTH VIRGINIA OPOSSUM ON AN E-SCOOTER\u201d.) Apparently, in each of these circumstances the mannequin selected to return SVG wrapped in an HTML doc that added further animations utilizing CSS.<\/p>\n<p>Let\u2019s attempt GLM-5.2. For \u201cGenerate an SVG of a pelican using a bicycle\u201d I received this:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/static.simonwillison.net\/static\/2026\/glm-5.2-pelican.svg\" alt=\"It's a really good bicycle - all the right bits, spokes on the wheels, wheels and pedals rotating - and a very good pelican, red scarf, good beak, bobbing up and down. The feet don't stay on the pedals though.\" style=\"max-width: 100%;\"\/><\/p>\n<p>It\u2019s a self-contained absolutely animated SVG, and the animations aren\u2019t damaged! Typically I\u2019ll see eyes falling off or wheels rotating independently of the bicycle however right here all the things works nice. It\u2019s a really good vector illustration of a pelican too. Very spectacular.<\/p>\n<p>Sadly, the NORTH VIRGINIA OPOSSUM ON AN E-SCOOTER didn&#8217;t come out practically as properly:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/static.simonwillison.net\/static\/2026\/glm-5.2-opossum.svg\" alt=\"Weird background gridlines, scooter is green and not very scooter like, possum is wearing a red safety helmet and has a hairy tail but is hardly recognizable as a possum. It's just bad.\" style=\"max-width: 100%;\"\/><\/p>\n<p>That is such a step down from GLM-5.1! As a reminder, that possum regarded like this:<\/p>\n<p><img decoding=\"async\" alt=\"This is so great. It's dark, the possum is clearly a possum, it's riding an escooter, lovely animation, tail bobbing up and down, caption says NORTH VIRGINIA OPOSSUM, CRUISING THE COMMONWEALTH SINCE DUSK - only glitch is that it occasionally blinks and the eyes fall off the face\" src=\"https:\/\/static.simonwillison.net\/static\/2026\/glm-possum-escooter.gif.gif\" style=\"max-width: 100%;\"\/><\/p>\n<p>5.2 didn\u2019t even attempt to animate it.<\/p>\n<\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/simonwillison.net\/2026\/Jun\/17\/glm-52\/#atom-everything\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>GLM-5.2 might be essentially the most highly effective text-only open weights LLM seventeenth June 2026 Chinese language AI lab Z.ai launched GLM-5.2 to their coding plan subscribers on June thirteenth, after which yesterday (June sixteenth) launched the complete open weights underneath an MIT license. Comparable in measurement to their earlier GLM-5 and GLM-5.1 releases, that [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1142,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/static.simonwillison.net\/static\/2026\/glm-5.2-pelican-card.jpg","fifu_image_alt":"","jnews-multi-image_gallery":[],"jnews_single_post":[],"jnews_primary_category":[],"jnews_override_bookmark_settings":[],"jnews_social_meta":[],"jnews_override_counter":[],"footnotes":""},"categories":[2],"tags":[1525,452,35,1526,1527,1528],"class_list":["post-1140","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-research-breakthroughs","tag-glm5-2","tag-llm","tag-open","tag-powerful","tag-textonly","tag-weights"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>GLM-5.2 might be essentially the most highly effective text-only open weights LLM - Future News 24<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/futurenews24.com\/index.php\/2026\/06\/17\/atom-everything-10\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GLM-5.2 might be essentially the most highly effective text-only open weights LLM - Future News 24\" \/>\n<meta property=\"og:description\" content=\"GLM-5.2 might be essentially the most highly effective text-only open weights LLM seventeenth June 2026 Chinese language AI lab Z.ai launched GLM-5.2 to their coding plan subscribers on June thirteenth, after which yesterday (June sixteenth) launched the complete open weights underneath an MIT license. 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