MacBook Pro M3 Max 128GBBudget pick
C14.9 tok/s decode
~$2,499 MSRP
Can it run?
Tight fit
Using Q4_K_M in Ollama
Fit status
Tight fit
Decode
16.1 tok/s
TTFT
11991 ms
Safe context
18K
Memory
61.2 GB / 69.1 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Tight fit | 14.4 tok/s | 19547 ms | 36K |
| Chat | C | Tight fit | 14.4 tok/s | 7330 ms | 9K |
| Coding | C | Tight fit | 16.1 tok/s | 11991 ms | 18K |
| RAG | C | Tight fit | 14.4 tok/s | 24434 ms | 36K |
| Reasoning | C | Tight fit | 14.4 tok/s | 15882 ms | 18K |
How Qwen3-Coder-Next (80B params) fits at each quantization level on MacBook Pro M2 Max 96GB (69.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 31.2 GB | Low | D39 |
Q3_K_S | 3 | 39.2 GB | Low | C42 |
NVFP4 | 4 |
ollama run qwen-3-coder-nexthuggingface-cli download qwen-3-coder-nextUpgrade options
~$2,499 MSRP
~$3,999 MSRP
44.8 GB |
| Medium |
| C43 |
Q4_K_MBest for your GPU | 4 | 48.8 GB | Medium | C45 |
Q5_K_M | 5 | 57.6 GB | High | C45 |
Q6_K | 6 | 65.6 GB | High | C45 |
Q8_0 | 8 | 85.6 GB | Very High | F0 |
F16 | 16 | 164.0 GB | Maximum | F0 |
~$3,999 MSRP
NVIDIA A100 80GBBiggest leap~$15,000 MSRP