Mac Studio M3 Ultra 256GBBudget pick
C80.1 tok/s decode
Can it run?
Runs well
Using Q4_K_M in vLLM
Fit status
Runs well
Decode
828.3 tok/s
TTFT
350 ms
Safe context
73K
Memory
39.5 GB / 180.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 966.4 tok/s | 350 ms | 145K |
| Chat | C | Runs well | 966.4 tok/s | 350 ms | 36K |
| Coding | C | Runs well | 828.3 tok/s | 350 ms | 73K |
| RAG | C | Runs well | 966.4 tok/s | 364 ms | 145K |
| Reasoning | C | Runs well | 966.4 tok/s | 350 ms | 73K |
How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on NVIDIA B200 180GB (180.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | D31 |
Q3_K_S | 3 | 14.7 GB | Low | D31 |
NVFP4 | 4 |
huggingface-cli download qwen-3-vl-30b-a3bUpgrade options
16.8 GB |
| Medium |
| D32 |
Q4_K_M | 4 | 18.3 GB | Medium | D32 |
Q5_K_M | 5 | 21.6 GB | High | D32 |
Q6_K | 6 | 24.6 GB | High | D32 |
Q8_0 | 8 | 32.1 GB | Very High | D33 |
F16Best for your GPU | 16 | 61.5 GB | Maximum | D37 |