MacBook Pro M3 Pro 18GBBudget pick
C109.5 tok/s decode
~$1,999 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
65.0 tok/s
TTFT
2978 ms
Safe context
40K
Memory
4.6 GB / 11.5 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 65.0 tok/s | 4332 ms | 79K |
| Chat | C | Runs well | 65.0 tok/s | 1625 ms | 20K |
| Coding | C | Runs well | 65.0 tok/s | 2978 ms | 40K |
| RAG | C | Runs well | 65.0 tok/s | 5415 ms | 79K |
| Reasoning | C | Runs well | 65.0 tok/s | 3520 ms | 40K |
How Qwen2.5 1.5B Instruct (1.5B params) fits at each quantization level on MacBook Air M2 16GB (11.5 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.6 GB | Low | D31 |
Q3_K_S | 3 | 0.7 GB | Low | D31 |
NVFP4 | 4 |
Upgrade options
~$1,999 MSRP
0.8 GB |
| Medium |
| D31 |
Q4_K_M | 4 | 0.9 GB | Medium | D31 |
Q5_K_M | 5 | 1.1 GB | High | D31 |
Q6_K | 6 | 1.2 GB | High | D32 |
Q8_0 | 8 | 1.6 GB | Very High | D32 |
F16Best for your GPU | 16 | 3.1 GB | Maximum | D35 |