Periodical

China's Z.ai Says GLM-5.3 Challenges US Models.

Bibliographic Details
Title: China's Z.ai Says GLM-5.3 Challenges US Models.
Authors: Abdullahi, Aminu (AUTHOR)
Source: eWeek. 8/18/2026, pN.PAG-N.PAG. 1p.
Subject Terms: *Artificial intelligence, Language models, Benchmark testing (Engineering), Penetration testing (Computer security)
Geographic Terms: China, United States
Abstract: Z.ai says GLM-5.3 approaches leading U.S. models on coding and cybersecurity benchmarks while delaying its open-weight release for safety testing. [ABSTRACT FROM AUTHOR]
Copyright of eWeek is the property of TechnologyAdvice, LLC and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: China's Z.ai Says GLM-5.3 Challenges US Models.
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  Data: Z.ai says GLM-5.3 approaches leading U.S. models on coding and cybersecurity benchmarks while delaying its open-weight release for safety testing. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of eWeek is the property of TechnologyAdvice, LLC and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Language models
        Type: general
      – SubjectFull: Benchmark testing (Engineering)
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      – SubjectFull: Penetration testing (Computer security)
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      – SubjectFull: China
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      – SubjectFull: United States
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              M: 08
              Text: 8/18/2026
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              Y: 2026
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