RTX 5090 32GBBudget pickC281.2 tok/s decode
~$1,999 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
22.8 tok/s
TTFT
8479 ms
Safe context
40K
Memory
10.5 GB / 25.9 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 25.6 tok/s | 10981 ms | 72K |
| Chat | C | Runs well | 25.6 tok/s | 4118 ms | 20K |
| Coding | C | Runs well | 22.8 tok/s | 8479 ms | 40K |
| RAG | C | Runs well | 25.6 tok/s | 13726 ms | 72K |
| Reasoning | C | Runs well | 25.6 tok/s | 8922 ms | 40K |
How Mistral 7B Instruct v0.2 (7B params) fits at each quantization level on MacBook Pro M3 Pro 36GB (25.9 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | D32 |
Q3_K_S | 3 | 3.4 GB | Low | D32 |
NVFP4 | 4 |
Upgrade options
RTX 5090 32GBBudget pick~$1,999 MSRP
~$2,499 MSRP
3.9 GB |
| Medium |
| D33 |
Q4_K_M | 4 | 4.3 GB | Medium | D33 |
Q5_K_M | 5 | 5.0 GB | High | D34 |
Q6_K | 6 | 5.7 GB | High | D34 |
Q8_0 | 8 | 7.5 GB | Very High | D36 |
F16Best for your GPU | 16 | 14.3 GB | Maximum | C41 |
~$3,999 MSRP