MacBook Pro M3 Max 128GBBudget pick
C14.9 tok/s decode
~$2,499 MSRP
Can it run?
Very compromised (needs ~6.7 GB host RAM)
Using Q4_K_M in Ollama
Fit status
Very compromised (needs ~6.7 GB host RAM)
Decode
37.0 tok/s
TTFT
5234 ms
Safe context
14K
Memory
55.6 GB / 48.0 GB
Offload
10%
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Very compromised (needs ~6.8 GB host RAM) | 36.9 tok/s | 7629 ms | 28K |
| Chat | C | Very compromised (needs ~6.7 GB host RAM) | 37.0 tok/s | 2855 ms | 7K |
| Coding | C | Very compromised (needs ~6.7 GB host RAM) | 37.0 tok/s | 5234 ms | 14K |
| RAG | C | Very compromised (needs ~6.8 GB host RAM) | 36.9 tok/s | 9537 ms | 28K |
| Reasoning | C | Very compromised (needs ~6.7 GB host RAM) | 37.0 tok/s | 6186 ms | 14K |
How Qwen3-Coder-Next (80B params) fits at each quantization level on NVIDIA L40 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_KBest for your GPU | 2 | 31.2 GB | Low | C43 |
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 |
ollama run qwen-3-coder-nexthuggingface-cli download qwen-3-coder-nextUpgrade options
~$2,499 MSRP
~$2,499 MSRP
NVIDIA A100 80GBBiggest leap~$15,000 MSRP
NVIDIA A800 80GBNVIDIA upgrade