Another day brings yet another impressive model from a China-based AI lab, with Zhipu's GLM-5.3 taking the center stage today after Meta's Muse Glimmer , NVIDIA's Nemotron 3.5 Lightning , DeepSeek's V4 Pro , and Google's Gemini 3.7 Flash dominated the airwaves earlier in the week.

The GLM-5.3 is distinctive in that it sports the same 743 billion parameters of its predecessor, with all of the gains in coding and cyber security coming from Zhipu's post-training post-training protocols.

As such, GLM-5.3 has a score of 66.9 on DeepSWE vs. a score of 46.2 for GLM 5.2, and 69.7 for Anthropic's Mythos-class Fable 5.

On Terminal Bench 3.0, GLM-5.3 achieves a score of 28.3 vs. 4.6 for GLM-5.2 and 33.7 for Fable 5.

On CyberGym, GLM-5.3 is currently leading with a score of 84.5 vs. 83.8 for Fable 5 and 83.6 for GPT-5.6 Sol.

Remember, all of these gains are solely the result of Zhipu's post-training process, which is an eminently impressive feat in and of itself.

Zhipu has also published a ledger, disclosing 2,436 security findings across 269 open-source projects, of which 1,097 were Critical or High severity. Interestingly, the oldest vulnerability that GLM-5.3 found dated all the way back to 1981! What's more, these security exploits had evaded discovery for an average of 26.6 years.

Finally, do note that Zhipu's next model will switch to a new architecture with 2x as many parameters, which suggests that the AI lab is now seriously gunning after Fable 5's lunch. The company will release the model weights for GLM-5.3 in a few days.

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