MacBook Pro M3 Max 128GBBest value
D5.1 tok/s decode
~$2,499 MSRP
Can it run?
Too heavy
Using Q4_K_M in llama.cpp
Fit status
Too heavy
Decode
14.4 tok/s
TTFT
13455 ms
Safe context
4K
Memory
94.6 GB / 16.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | F | Too heavy | 14.4 tok/s | 19571 ms | 5K |
| Chat | F | Too heavy | 14.4 tok/s | 7339 ms | 4K |
| Coding | F | Too heavy | 14.4 tok/s | 13455 ms | 4K |
| RAG | F | Too heavy | 14.4 tok/s | 24464 ms | 5K |
| Reasoning | F | Too heavy | 14.4 tok/s | 15901 ms | 4K |
How Mixtral 8x22B (141B params) fits at each quantization level on RTX 5080 Laptop 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 55.0 GB | Low | F0 |
Q3_K_S | 3 | 69.1 GB | Low | F0 |
NVFP4 | 4 | 79.0 GB | Medium | F0 |
Q4_K_M | 4 | 86.0 GB | Medium | F0 |
Q5_K_M | 5 | 101.5 GB | High | F0 |
Q6_K | 6 | 115.6 GB | High | F0 |
Q8_0 | 8 | 150.9 GB | Very High | F0 |
F16 | 16 | 289.0 GB | Maximum | F0 |
Upgrade options
~$2,499 MSRP
~$8,000 MSRP
NVIDIA H200 141GBBiggest leap~$30,000 MSRP
NVIDIA H200 PCIe 141GBNVIDIA upgrade~$30,000 MSRP