Zhipu AI Releases GLM-5.3: 743B Post-Training Boosts Coding and Security, Open Weights in Two Weeks

Zhipu AI has officially released the GLM-5.3 model, now available on its ZCode platform. Built on a 743B-parameter base model, it leverages extreme post-training scaling to significantly boost coding, agentic, and cybersecurity defense capabilities without altering the underlying foundation. The company announced that the model weights will be open-sourced within two weeks.

Confirmed

• Key point: GLM-5.3 is trained on a 743B-parameter base, with deep optimizations specifically targeting cyber defense and coding tasks.
• Key point: The model achieved a high score starting with an 8 in the CyberGym evaluation and ranked first among open-source models in several benchmarks like TerminalBench.
• Key point: In practical applications, its coding performance rivals closed-source frontier models, alongside a notable improvement in token utilization.
• Key point: Zhipu has officially committed to making GLM-5.3 weights publicly available in two weeks.

Why it matters

• Key point: GLM-5.3 demonstrates an effective path to enhancing model capabilities via post-training scaling. It reaches top-tier levels among open-source models in specialized domains (like cybersecurity and coding), further closing the experience gap with closed-source frontier models in programming tasks.

2026-08-14 ~ 2026-08-14 · 8 related posts

• Zhipu AI Launches GLM-5.3: Built for Coding and Cyber Defense — AIFlow_ML · 2026-08-14
• [source] Zhipu Releases GLM 5.3 Model — jmorant555 · 2026-08-14
• [source] Zhipu Releases GLM-5.3: Post-Training Scaling Boosts Coding & Security, Open Source in Two Weeks — 智谱 · 2026-08-14
• Zhipu AI Releases GLM 5.3: 743B Parameters with Weights Dropping in Two Weeks — aigclink · 2026-08-14

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