I've been using GLM-5.2 extensively over the past few days, primarily for software engineering tasks through OpenCode and Hermes-Agent, and it has genuinely impressed me.
The biggest compliment I can give is that, during many coding sessions, it gave me a similar feeling to using Claude Opus. Not because the models are identical, but because of how reliably it understands context, follows complex instructions, and completes multi-step engineering tasks.
I also tested it through Ollama Cloud using an API key, and the experience was consistently solid across different environments.
What I appreciate most is that the team decided to open-source such a capable model. The AI community benefits enormously when high-quality foundation models are openly available, and I wanted to leave a review simply to thank and recognize the work that went into this release.
Looking forward to seeing how the project evolves.
Flowtica Scribe
Hi everyone!
GLM-5.2 was already used on-prem by @Hugging Face last month to investigate the autonomous-agent intrusion into its infrastructure, after hosted frontier models ran into cyber-safety restrictions.
GLM-5.3 keeps the exact same base model as 5.2. @Z.ai simply kept scaling the post-training stack, and the gains are pretty substantial. On their internal code benchmark, 5.3 at high effort beats Opus 4.8 while using less than half the output tokens.
Cyber improved even faster. GLM-5.3 now scores 84.5 on CyberGym, and the model has started reasoning through complete exploitation chains. Their disclosure ledger currently tracks 1,097 critical and high-severity findings across 269 open-source projects.
You can try GLM-5.3 now through GLM Coding Plan and ZCode. Open weights are planned in two weeks, after the remaining safety evaluation and hardening.
@zaczuo Love it! Z-ai is doing wonders with GLM models and pushing the open weight models to frontier levels. Much Support!! 🙌