MacBook Pro M3 Max 128GBBudget pick
C14.9 tok/s decode
~$2,499 MSRP
Can it run?
Too heavy
Using Q4_K_M in Ollama
Fit status
Too heavy
Decode
14.9 tok/s
TTFT
12991 ms
Safe context
13K
Memory
57.7 GB / 46.1 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | F | Too heavy | 14.9 tok/s | 18895 ms | 25K |
| Chat | F | Too heavy | 14.9 tok/s | 7086 ms | 6K |
| Coding | F | Too heavy | 14.9 tok/s | 12991 ms | 13K |
| RAG | F | Too heavy | 14.9 tok/s | 23619 ms | 25K |
| Reasoning | F | Too heavy | 14.9 tok/s | 15352 ms | 13K |
How Qwen3-Coder-Next (80B params) fits at each quantization level on MacBook Pro M3 Max 64GB (46.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_KBest for your GPU | 2 | 31.2 GB | Low | C44 |
Q3_K_S | 3 | 39.2 GB | Low | C45 |
NVFP4 | 4 | 44.8 GB | Medium | C45 |
Q4_K_M | 4 | 48.8 GB | Medium | F0 |
Q5_K_M | 5 | 57.6 GB | High | F0 |
Q6_K | 6 | 65.6 GB | High | F0 |
Q8_0 | 8 | 85.6 GB | Very High | F0 |
F16 | 16 | 164.0 GB | Maximum | F0 |
Upgrade options
~$2,499 MSRP
~$2,499 MSRP
~$3,999 MSRP
NVIDIA A100 80GBBiggest leap~$15,000 MSRP