GLM-5.2 Benchmark vs GPT-5.5, Claude Opus 4.8 and Gemini 3.1 Pro

GLM-5.2, released by Z.ai under an MIT open-weights license, is a 753B-parameter model designed for coding agents, long-context reasoning, and self-hosted AI deployments, featuring a significant upgrade to a 1M-token context window from its predecessor. Its strengths lie in high-volume coding tasks, offering lower costs and open weights for self-hosting, making it suitable for private codebases and regulated environments. While it excels in certain coding benchmarks, notably on Terminal-Bench 2.1 and SWE-bench Pro, and is more cost-effective than models like GPT-5.5 and Claude Opus 4.8, it is not the top choice for the most complex reasoning tasks, where Claude Opus 4.8 provides more reliable performance. GLM-5.2 is compatible with various coding tools and can be accessed through hosted APIs, making it practical for teams requiring deployment control and cost efficiency in coding workflows.

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