AMD Instinct MI250X 128GBBudget pick
C584.5 tok/s decode
~$15,000 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
60.9 tok/s
TTFT
3180 ms
Safe context
72K
Memory
20.4 GB / 92.2 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 60.9 tok/s | 4625 ms | 137K |
| Chat | C | Runs well | 60.9 tok/s | 1734 ms | 37K |
| Coding | C | Runs well | 60.9 tok/s | 3180 ms | 72K |
| RAG | C | Runs well | 60.9 tok/s | 5781 ms | 137K |
| Reasoning | C | Runs well | 60.9 tok/s | 3758 ms | 72K |
How Mistral 7B Instruct v0.3 (7B params) fits at each quantization level on MacBook Pro M3 Max 128GB (92.2 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | D30 |
Q3_K_S | 3 | 3.4 GB | Low | D30 |
NVFP4 | 4 |
Upgrade options
~$15,000 MSRP
3.9 GB |
| Medium |
| D30 |
Q4_K_M | 4 | 4.3 GB | Medium | D30 |
Q5_K_M | 5 | 5.0 GB | High | D31 |
Q6_K | 6 | 5.7 GB | High | D31 |
Q8_0 | 8 | 7.5 GB | Very High | D31 |
F16Best for your GPU | 16 | 14.3 GB | Maximum | D33 |