Mac Studio M3 Ultra 96GBBudget pick
C80.1 tok/s decode
Can it run?
Runs well
Using Q4_K_M in vLLM
Fit status
Runs well
Decode
62.1 tok/s
TTFT
3116 ms
Safe context
37K
Memory
27.9 GB / 64.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 67.3 tok/s | 4184 ms | 73K |
| Chat | C | Runs well | 67.3 tok/s | 1569 ms | 18K |
| Coding | C | Runs well | 62.1 tok/s | 3116 ms | 37K |
| RAG | C | Runs well | 67.3 tok/s | 5230 ms | 73K |
| Reasoning | C | Runs well | 67.3 tok/s | 3400 ms | 37K |
How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on NVIDIA A16 64GB (64.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | D33 |
Q3_K_S | 3 | 14.7 GB | Low | D34 |
NVFP4 | 4 |
huggingface-cli download qwen-3-vl-30b-a3bUpgrade options
16.8 GB |
| Medium |
| D35 |
Q4_K_M | 4 | 18.3 GB | Medium | D36 |
Q5_K_M | 5 | 21.6 GB | High | D37 |
Q6_K | 6 | 24.6 GB | High | D38 |
Q8_0Best for your GPU | 8 | 32.1 GB | Very High | C40 |
F16 | 16 | 61.5 GB | Maximum | C45 |