RTX A6000 48GBBudget pickC83.9 tok/s decode
~$4,650 MSRP
Can it run?
Runs well
Using Q4_K_M in vLLM
Fit status
Runs well
Decode
25.5 tok/s
TTFT
7587 ms
Safe context
26K
Memory
28.4 GB / 46.1 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 30.2 tok/s | 9316 ms | 52K |
| Chat | C | Runs well | 30.2 tok/s | 3493 ms | 13K |
| Coding | C | Runs well | 25.5 tok/s | 7587 ms | 26K |
| RAG | C | Runs well | 30.2 tok/s | 11645 ms | 52K |
| Reasoning | C | Runs well | 30.2 tok/s | 7569 ms | 26K |
How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on MacBook Pro M4 Pro 64GB (46.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | D35 |
Q3_K_S | 3 | 14.7 GB | Low | D36 |
NVFP4 | 4 |
huggingface-cli download qwen-3-vl-30b-a3bUpgrade options
RTX A6000 48GBBudget pick~$4,650 MSRP
NVIDIA L40 48GBBest value~$5,500 MSRP
NVIDIA L40S 48GBBiggest leap~$7,500 MSRP
16.8 GB |
| Medium |
| D37 |
Q4_K_M | 4 | 18.3 GB | Medium | D38 |
Q5_K_M | 5 | 21.6 GB | High | D40 |
Q6_K | 6 | 24.6 GB | High | C41 |
Q8_0Best for your GPU | 8 | 32.1 GB | Very High | C44 |
F16 | 16 | 61.5 GB | Maximum | F0 |