MacBook Pro M4 32GBBest value
C6.4 tok/s decode
~$799 MSRP
Can it run?
Too heavy
Using Q4_K_M in vLLM
Fit status
Too heavy
Decode
4.8 tok/s
TTFT
39971 ms
Safe context
13K
Memory
21.8 GB / 17.3 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | F | Too heavy | 5.1 tok/s | 55575 ms | 22K |
| Chat | D | Very compromised (needs ~1.9 GB host RAM) | 4.9 tok/s | 21765 ms | 7K |
| Coding | F | Too heavy | 4.8 tok/s | 39971 ms | 13K |
| RAG | F | Too heavy | 5.1 tok/s | 69468 ms | 22K |
| Reasoning | F | Too heavy | 5.1 tok/s | 45154 ms | 13K |
How Codestral 2 25.08 (22B params) fits at each quantization level on MacBook Pro M3 24GB (17.3 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 8.6 GB | Low | C40 |
Q3_K_S | 3 | 10.8 GB | Low | C43 |
NVFP4Best for your GPU |
Upgrade options
~$799 MSRP
~$999 MSRP
RTX 5090 32GBBiggest leap| 4 |
12.3 GB |
| Medium |
| C44 |
Q4_K_M | 4 | 13.4 GB | Medium | C44 |
Q5_K_M | 5 | 15.8 GB | High | C44 |
Q6_K | 6 | 18.0 GB | High | F0 |
Q8_0 | 8 | 23.5 GB | Very High | F0 |
F16 | 16 | 45.1 GB | Maximum | F0 |
~$1,999 MSRP
~$2,499 MSRP