<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Glm-5-2 on danilchenko.dev</title><link>https://www.danilchenko.dev/tags/glm-5-2/</link><description>Recent content in Glm-5-2 on danilchenko.dev</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 18 Jun 2026 08:25:00 +0000</lastBuildDate><atom:link href="https://www.danilchenko.dev/tags/glm-5-2/index.xml" rel="self" type="application/rss+xml"/><item><title>GLM-5.2 Review: 753B Open-Weight Model That Undercuts GPT-5.5</title><link>https://www.danilchenko.dev/posts/glm-5-2-review/</link><pubDate>Thu, 18 Jun 2026 08:25:00 +0000</pubDate><guid>https://www.danilchenko.dev/posts/glm-5-2-review/</guid><description>GLM-5.2 scores 62.1 on SWE-bench Pro vs GPT-5.5&amp;#39;s 58.6, ships under MIT, and costs $1.40/M input tokens. Benchmarks, pricing, and the China data question.</description></item></channel></rss>