GLM-5.2 vs. Claude 4.8: The Coding Battle

A comparison between GLM-5.2 and Claude Opus 4.8 shows the latter's superiority in engineering tasks, while the former holds a significant price advantage.

Compiled by Sergey KostenchukPublished 2026-07-07Updated 2026-07-08

2026-07-07 Research OpenAI

🤖 GLM-5.2 vs. Claude 4.8: The Coding Battle

A comparison between the GLM-5.2 (Z.ai) and Claude Opus 4.8 (Anthropic) models has revealed a massive gap in cost. GLM-5.2 is an open-weights model (MIT) with 753B parameters that is 3.6x cheaper for input and 5.7x cheaper for output than Opus 4.8. Meanwhile, Claude maintains its lead in complex engineering tasks (NL2Repo: 69.7 vs. 48.9), while GLM-5.2 performs better in mathematics (AIME 2026: 99.2 vs. 95.7).

🌍 The emergence of the strong open-weights model GLM-5.2 provides an incentive for self-hosting and reduces dependency on closed APIs from Anthropic and OpenAI, making large-scale coding automation economically viable.

👤 AI agent developers now have an easier choice: Claude Opus 4.8 as the "gold standard" for complex tasks, or the ultra-cheap GLM-5.2 for mass automation.

Source 1: https://llm-stats.com/blog/research/glm-5-2-vs-claude-opus-4-8

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