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Z.ai debuts GLM-5.3 with long-horizon coding, cybersecurity upgrades

Z.ai's GLM-5.3 sets benchmarks on long-horizon coding and cybersecurity—open weights, 753B params, competing directly with frontier labs.

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The KeyNews take

Why it matters

A major open-weight model release with capability gains in two high-value domains (coding agents, security tooling) signals sustained Chinese AI competitiveness and expands the frontier lab competitive surface beyond the US incumbents.

The key facts

9 to know
  1. GLM-5.3 released by Z.ai (Chinese developer)

  2. Based on GLM-5.2 algorithm from mid-July

  3. Mixture of experts architecture

  4. 753 billion parameters

  5. 1M+ token context window

  6. Set records on multiple popular benchmarks

  7. Focus areas: long-horizon coding, cybersecurity capabilities

  8. Open-source/open-weight release

  9. Follows GLM-5.2 release cadence (~1 month)

Go to the source

SiliconAnglesiliconangle.com

Publisher excerpt: Chinese artificial intelligence developer Z.ai Co. today debuted GLM-5.3, an open-source large language model that set records across several popular benchmarks. The LLM is based on an algorithm called GLM-5.2 that the company released in mid-July. The latter model features a mixture of experts…
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