MacBook Pro M3 Max 128GBBest value
D3.4 tok/s decode
~$2,499 MSRP
Can it run?
Too heavy
Using Q4_K_M in vLLM
Fit status
Too heavy
Decode
6.9 tok/s
TTFT
28010 ms
Safe context
11K
Memory
93.9 GB / 64.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | F | Too heavy | 6.9 tok/s | 40742 ms | 18K |
| Chat | F | Too heavy | 6.9 tok/s | 15278 ms | 6K |
| Coding | F | Too heavy | 6.9 tok/s | 28010 ms | 11K |
| RAG | F | Too heavy | 6.9 tok/s | 50927 ms | 18K |
| Reasoning | F | Too heavy | 6.9 tok/s | 33103 ms | 11K |
How Command A 111B (111B params) fits at each quantization level on NVIDIA A16 64GB (64.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_KBest for your GPU | 2 | 43.3 GB | Low | C44 |
Q3_K_S | 3 | 54.4 GB | Low | C44 |
NVFP4 | 4 | 62.2 GB | Medium | C44 |
Q4_K_M | 4 | 67.7 GB | Medium | F0 |
Q5_K_M | 5 | 79.9 GB | High | F0 |
Q6_K | 6 | 91.0 GB | High | F0 |
Q8_0 | 8 | 118.8 GB | Very High | F0 |
F16 | 16 | 227.6 GB | Maximum | F0 |
Upgrade options
~$2,499 MSRP
~$8,000 MSRP
NVIDIA H200 141GBBiggest leap~$30,000 MSRP
NVIDIA H200 PCIe 141GBNVIDIA upgrade~$30,000 MSRP