GLM 5.3

About

The GLM 5 family was made to go past casual coding help toward carrying out whole engineering jobs. The maker says it improves on GLM 5.2 at complex coding and at tasks that run over many steps.

How it compares

In LM Arena's public vote it rates 1481, ahead of Gemma 4 31B at 1452, of the six chat models for a 512 GB Mac it rates.

Outmake estimates it is the slowest of the 7 chat models it recommends for a 512 GB Mac, with Gemma 4 26B about 4.9 times as fast.

Five of those 7 models for a 512 GB Mac read pictures, and GLM 5.3 is one of the two that can't.

Good to know

It shares its base with GLM 5.2, and every change came from training done afterwards.

The maker says its cyber-security skill grew faster than expected as that training was scaled up.

Its training kept writing answers apart from learning from them, so both could run at the same time.

Sources: zai-org/GLM-5.3 model card, GLM-5: from Vibe Coding to Agentic Engineering, Outmake's speed estimates, LM Arena and Hugging Face. Every line comes from one of these.

Run It Anywhere

GLM 5.3 is an open model, so any app that runs GGUF files can run it. These take the UD-Q3_K_XL size from unsloth straight from Hugging Face.

• LM StudioMac, Windows, LinuxOpen
• JanMac, Windows, LinuxOpen
• MstyMac, Windows, LinuxOpen
• OllamaMac, Windows, Linuxollama run hf.co/unsloth/GLM-5.3-GGUF:UD-Q3_K_XLCopy
• llama.cppMac, Windows, Linuxllama-server -hf unsloth/GLM-5.3-GGUF:UD-Q3_K_XLCopy
• Docker Model RunnerMac, Windows, Linuxdocker model run hf.co/unsloth/GLM-5.3-GGUF:UD-Q3_K_XLCopy