MacBook Pro M4 Max 96GBBudget pick
C70.5 tok/s decode
~$2,499 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
241.7 tok/s
TTFT
801 ms
Safe context
75K
Memory
13.7 GB / 64.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 241.7 tok/s | 1165 ms | 137K |
| Chat | C | Runs well | 241.7 tok/s | 437 ms | 39K |
| Coding | C | Runs well | 241.7 tok/s | 801 ms | 75K |
| RAG | C | Runs well | 241.7 tok/s | 1457 ms | 137K |
| Reasoning | C | Runs well | 241.7 tok/s | 947 ms | 75K |
How Meta Llama 3.1 8B Instruct (8B params) fits at each quantization level on AMD Instinct MI210 64GB (64.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | D31 |
Q3_K_S | 3 | 3.9 GB | Low | D31 |
NVFP4 | 4 |
Upgrade options
~$2,499 MSRP
~$3,999 MSRP
4.5 GB |
| Medium |
| D31 |
Q4_K_M | 4 | 4.9 GB | Medium | D31 |
Q5_K_M | 5 | 5.8 GB | High | D31 |
Q6_K | 6 | 6.6 GB | High | D32 |
Q8_0 | 8 | 8.6 GB | Very High | D32 |
F16Best for your GPU | 16 | 16.4 GB | Maximum | D35 |