Mac Studio M1 Ultra 128GBBudget pick
C103 tok/s decode
~$3,999 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
337.2 tok/s
TTFT
574 ms
Safe context
88K
Memory
14.6 GB / 80.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 393.4 tok/s | 716 ms | 163K |
| Chat | C | Runs well | 393.4 tok/s | 350 ms | 45K |
| Coding | C | Runs well | 337.2 tok/s | 574 ms | 88K |
| RAG | C | Runs well | 393.4 tok/s | 895 ms | 163K |
| Reasoning | C | Runs well | 393.4 tok/s | 582 ms | 88K |
How Mistral 7B Instruct v0.2 (7B params) fits at each quantization level on NVIDIA H100 PCIe 80GB (80.0 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
~$3,999 MSRP
~$3,999 MSRP
3.9 GB |
| Medium |
| D30 |
Q4_K_M | 4 | 4.3 GB | Medium | D31 |
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 |
~$4,999 MSRP