Can Mac Studio M2 Ultra 192 GB run GLM-5.3 (753B-A40B)?
192 GB unified · 800 GB/s memory bandwidth · GLM-5.3 (753B-A40B) has 753B parameters (40B active per token).
Short answer
No. It doesn't fit in memory.
Needs ≈312 GB but only ≈182 GB is available after the OS, other apps and Open WebUI.
Why it doesn’t fit
Even its smallest practical version (3-bit) needs about 312 GB for the model, its context memory and the runtime. After macOS (≈6.0 GB), a browser with a few tabs (≈3.0 GB) and Open WebUI (≈1.0 GB), Mac Studio M2 Ultra 192 GB has about 182 GB left, so it’s 130 GB short.
Ways to make it work
Close everything else
Not enough on its own: with every other app closed it’s still about 127 GB short.
Pick a smaller model from the same family
Get more memory
You’d want at least 322 GB of memory in total. The machines below are the cheapest that run it comfortably.
Check your exact setup
These pages assume typical settings. A shorter context or a lighter chat app can change the answer.
Check Mac Studio M2 Ultra 192 GB
The same applies to every workload we rate (chat, coding questions, coding in a repository, agentic coding and long documents): they all need at least as much memory as chat.
Other models for Mac Studio M2 Ultra 192 GB
The best-rated models for chat on this machine.
- gpt-oss-120b85–120 tok/sExcellent
- Qwen3.6 35B-A3B100–130 tok/sExcellent
- Qwen3-Next 80B-A3B Instruct100–130 tok/sExcellent
- Gemma 4 26B-A4B80–110 tok/sExcellent
- Qwen3.5 35B-A3B100–130 tok/sExcellent
- LFM2.5 24B-A2B190–260 tok/sExcellent
Cheapest machines for GLM-5.3 (753B-A40B)
Hardware rated comfortable or better for chat, lowest price first.
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.