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GLM 5.2 Performance Benchmarks
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Overview
GLM-5.2 (max) is a leading model in intelligence with a score of 51 on the Artificial Analysis Intelligence Index. It offers a 1 million token context window, supports text input and output, is faster than average, but is considered expensive compared to other open weight models of similar size.
Summary from artificialanalysis.ai.
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GLM 5.2 Performance Benchmarks
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Hacker News · artificialanalysis.ai
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Based on 5 sampled comments from this thread. Analyzed 2026-06-17.
- Praise: GLM 5.2 excels in the 'AA-Omniscience Non-Hallucination Rate', outperforming models like DeepSeek and GPT 5.5, which highlights its reliability in uncertain scenarios.
- Praise: The model's performance improvements, being 30% faster than its predecessor, indicate significant advancements in efficiency that could enhance user experience.
- Praise: Local models are becoming increasingly useful, suggesting a shift towards more accessible AI solutions that could democratize technology for a wider audience.
- Concern: Concerns arise over the validity of the 'AA-Omniscience Non-Hallucination Rate' benchmark, as it seems to favor models that avoid complex reasoning, potentially misleading users about true performance.
- Concern: Skepticism about the benchmarks is prevalent, especially when models like Muse Spark are rated higher than GPT-5.5, raising doubts about the accuracy of the evaluations.
- Concern: The high costs associated with deploying these models on local hardware may hinder accessibility, limiting their practical use for many developers and organizations.