Can I Run GLM-6 on MacBook Pro 16" (M4 Max, 48 GB)?
Written by Jakub Rusinowski · Last updated June 26, 2026
Yes — comfortably
Yes, comfortably — GLM-6 9B at Q8_0 needs about 11.6 GB of the 36 GB usable on MacBook Pro 16" (M4 Max, 48 GB), leaving ~24.4 GB spare and running at ~27 tok/s (estimated), with room for about 65,536 tokens of context.
Confidence: medium · Recommended quantization: Q8_0 · Estimated speed: ~27 tok/s
MacBook Pro 16" (M4 Max, 48 GB) — what it gives a model
| Usable memory for models | 36 GB |
| Memory bandwidth | 546 GB/s |
| Form factor | Laptop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
| Price | $3,999 (lib/data/laptops.ts (street price), checked 2026-07-06) |
GLM-6 on MacBook Pro 16" (M4 Max, 48 GB): memory by quantization
| Quant | Memory needed | Fits 36 GB? | Max context | Est. speed | Download |
|---|
| F16 | 20 GB | ✓ Yes | 64K | ~15.3 tok/s | 18 GB |
| Q8_0 | 11.6 GB | ✓ Yes | 64K | ~27 tok/s | 9.6 GB |
| Q6_K | 9.4 GB | ✓ Yes | 64K | ~33.7 tok/s | 7.4 GB |
| Q5_K_M | 8.4 GB | ✓ Yes | 64K | ~38 tok/s | 6.4 GB |
| Q4_K_M | 7.4 GB | ✓ Yes | 64K | ~43.1 tok/s | 5.4 GB |
| Q3_K_M | 5.8 GB | ✓ Yes | 64K | ~56.1 tok/s | 3.8 GB |
| Q2_K | 5 GB | ✓ Yes | 64K | ~67.1 tok/s | 3 GB |
Which GLM-6 sizes fit
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|
| GLM-6 355B-A32B | 219.2 GB | ✗ Too large | — |
| GLM-6 9B | 7.4 GB | ✓ Fits | ~43.1 tok/s |
What to watch out for
- 1 larger variant of GLM-6 does not fit and would need CPU offload or different hardware.
- This model does not publish its full attention configuration, so the KV-cache share of these figures is inferred from its parameter count rather than computed exactly.
- Memory on this machine is not upgradeable, so the configuration you buy is the ceiling for every model you will ever run on it.
MacBook Pro M4 Max 48 GB limitations
- Unified memory is soldered and cannot be upgraded after purchase.
- macOS reserves a share of unified memory for the system, so not all 48 GB is available to a model.
Recommended setup
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
How these numbers are calculated
- Memory need = quantized weights + KV cache at 8,192 tokens (f16) + 0.8 GB runtime overhead.
- 48 GB unified memory at 546 GB/s, shared between CPU and GPU.
- macOS reserves a share of unified memory for the system, so not all of it is available to a model.
- Throughput is a memory-bandwidth roofline estimate, not a measurement. It is labelled "estimated" everywhere it appears.
- KV cache is inferred from the parameter count because this model does not publish its full attention configuration.
FAQ
Can I run GLM-6 on MacBook Pro 16" (M4 Max, 48 GB)?
Yes, comfortably — GLM-6 9B at Q8_0 needs about 11.6 GB of the 36 GB usable on MacBook Pro 16" (M4 Max, 48 GB), leaving ~24.4 GB spare and running at ~27 tok/s (estimated), with room for about 65,536 tokens of context.
Which quantization of GLM-6 should I use on MacBook Pro 16" (M4 Max, 48 GB)?
Q8_0 — it needs about 11.6 GB of the 36 GB available, downloads as roughly 9.6 GB, and runs at an estimated 27 tokens/sec with up to 64K of context.
What limits GLM-6 on MacBook Pro 16" (M4 Max, 48 GB)?
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Which runtime should I use?
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
Other Computers
Other Models on MacBook Pro 16" (M4 Max, 48 GB)
GLM-6 on GPUs
What This Model Is Good At
Model & Tools
← Can I Run It? | GLM-6 model page | Check your hardware