Qwen Code plus GLM-5.2 looks useful for cheaper coding agents

Qwen Code is being used less as a tool only for Qwen models and more as a general harness for running open-source coding models. It gives builders a ready place to plug in models such as GLM-5.2 and test coding, review, repair, and tool-use workflows without building a new setup first. GLM-5.2 was released on June 16 and is described as keeping the same broad shape as GLM-5.1, with 744B total parameters and 40B active parameters, while staying at the same listed price of $1.40 per million input tokens and $4.40 per million output tokens.

Its reported scores moved sharply: Artificial Analysis Intelligence Index rose from 40 to 51, SWE-bench Pro reached 62.1%, and Terminal-Bench 2.1 improved 17.5% over GLM-5.1. On SWE-rebench, GLM-5.2 scored 51.1% while using 2.62M tokens, placing it near Claude Opus 4.8 xhigh at 56.5% and 2.48M tokens, and above Gemini 3.5 Flash at 49.5% and 1.85M tokens. Small agent app tests compared GLM-5.2 with Kimi K2.7 Code across code, design, and game tasks, including self-review and up to three repair attempts.

Another real project test used GLM-5.2 through OpenRouter for a multi-file computer vision app, citing MIT weights, a 1M context, and roughly $1 per million input tokens and $4.20 per million output tokens on that route.