Can Mac Studio M5 Ultra 512 GB run GLM-5.3 (753B-A40B)?
512 GB unified · 1228 GB/s memory bandwidth · GLM-5.3 (753B-A40B) has 753B parameters (40B active per token).
Short answer
Yes, comfortable for chat and acceptable or better for every workload we test.
Best quantization for chat: 4-bit (398 GB of weights) on LM Studio. Generation: 16–25 tok/s, leaving about 101 GB free for your other apps.
How it rates for each workload
Same model and machine, different jobs. Agents and long documents send far bigger prompts than chat, so they need much more speed and memory.
| Workload | Verdict | Quant | Generation | First reply | Context | |
|---|---|---|---|---|---|---|
| Chatwith Open WebUI | Comfortable | 4-bit | 16–25 tok/s | ≈1 s | 8K | Details |
| Coding questionswith Continue | Comfortable | 4-bit | 15–25 tok/s | ≈5 s | 16K | Details |
| Coding in a repositorywith Aider | Acceptable | 4-bit | 15–25 tok/s | ≈15 s | 32K | Details |
| Agentic codingwith OpenCode | Acceptable | 4-bit | 15–25 tok/s | ≈25 s | 32K | Details |
| Long documents (64K)with Open WebUI | Acceptable | 4-bit | 13–20 tok/s | ≈90 s | 64K | Details |
Speeds are bandwidth-based estimates; no direct benchmark exists for this pair. “First reply” is the time to read the workload’s opening prompt. How we calculate
Other models for Mac Studio M5 Ultra 512 GB
The best-rated models for chat on this machine.
- gpt-oss-120b120–210 tok/sExcellent
- Qwen3.6 35B-A3B140–240 tok/sExcellent
- Qwen3-Next 80B-A3B Instruct140–230 tok/sExcellent
- Gemma 4 26B-A4B110–190 tok/sExcellent
- Qwen3.5 35B-A3B140–240 tok/sExcellent
- LFM2.5 24B-A2B280–460 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.