MacBook Pro M3 Max 128GBBudget pick
C5.6 tok/s decode
~$2,499 MSRP
Can it run?
Tight fit
Using Q4_K_M in Ollama
Fit status
Tight fit
Decode
13.0 tok/s
TTFT
14844 ms
Safe context
17K
Memory
65.2 GB / 69.1 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | D | Very compromised (needs ~3.9 GB host RAM) | 12.7 tok/s | 22205 ms | 29K |
| Chat | C | Tight fit | 13.0 tok/s | 8097 ms | 9K |
| Coding | C | Tight fit | 13.0 tok/s | 14844 ms | 17K |
| RAG | D | Very compromised (needs ~3.9 GB host RAM) | 12.7 tok/s | 27756 ms | 29K |
| Reasoning | C | Tight fit | 13.0 tok/s | 17542 ms | 17K |
How Llama 3.3 70B (70B params) fits at each quantization level on Mac Studio M3 Ultra 96GB (69.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 27.3 GB | Low | D38 |
Q3_K_S | 3 | 34.3 GB | Low | C40 |
NVFP4 | 4 | 39.2 GB | Medium | C42 |
Q4_K_M | 4 | 42.7 GB | Medium | C43 |
Q5_K_MBest for your GPU | 5 | 50.4 GB | High | C44 |
Q6_K | 6 | 57.4 GB | High | C44 |
Q8_0 | 8 | 74.9 GB | Very High | F0 |
F16 | 16 | 143.5 GB | Maximum | F0 |
ollama run llama-3.3-70bhuggingface-cli download llama-3.3-70bUpgrade options
~$2,499 MSRP
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