GLM 5.3
Z.ai dropped GLM-5.3 on August 14, and the interesting part is not the benchmarks, it's that they didn't retrain anything. Same base model as GLM-5.2, every single gain came from scaled post-training.
Here's what stood out to me:
  • Same 743B base model as GLM-5.2, zero new pretraining
  • Terminal-Bench 3.0 jumped from 4.6 to 28.3, that's long-horizon agent work
  • DeepSWE v1.1 went from 46.2 to 66.9
  • CyberGym hit 84.5%, edging past Mythos 5 at 83.8% and GPT-5.6 Sol at 83.6%
  • ExploitBench more than doubled, 24.4% to 54.4%
  • Z.ai says the cyber jump was unplanned, capability kept compounding as they scaled training
  • Weights are held back roughly two weeks for safety evaluation and hardening
  • Live now through the Z.ai API, GLM Coding Plan and ZCode
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Mason Anderson
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GLM 5.3
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