Qwen3-VL 30B A3B Instruct needs ~27.0 GB VRAM. RTX A6000 48GB has 48.0 GB. With Q4_K_M quantization, expect ~69 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
69.4 tok/s
TTFT
2791 ms
Safe context
246K
Memory
27.0 GB / 48.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 69.4 tok/s | 1522 ms | 246K |
| Coding | S | Runs well | 69.4 tok/s | 2791 ms | 246K |
| Agentic Coding | S | Runs well | 69.4 tok/s | 4059 ms | 246K |
| Reasoning | S | Runs well | 69.4 tok/s | 3298 ms | 246K |
| RAG | S | Runs well | 69.4 tok/s | 5074 ms | 246K |
How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on RTX A6000 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | S86 |
Q3_K_S | 3 | 14.7 GB | Low | S87 |
NVFP4 | 4 |
Copy-paste commands to run Qwen3-VL 30B A3B Instruct on your machine.
Run
lms load Qwen3-VL-30B-A3B-Instruct && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 67.1 tok/s | ||
| 35B | S | 56.4 tok/s |
Yes, RTX A6000 48GB can run Qwen3-VL 30B A3B Instruct with a S grade (Runs well). Expected decode speed: 69.4 tok/s.
Qwen3-VL 30B A3B Instruct (30B parameters) requires approximately 27.0 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen3-VL 30B A3B Instruct is Q4_K_M, which balances quality and memory efficiency.
On RTX A6000 48GB, Qwen3-VL 30B A3B Instruct achieves approximately 69.4 tokens per second decode speed with a time-to-first-token of 2791ms using Q4_K_M quantization.
For coding workloads, Qwen3-VL 30B A3B Instruct on RTX A6000 48GB receives a S grade with 69.4 tok/s and 246K context.
On RTX A6000 48GB, Qwen3-VL 30B A3B Instruct can safely use up to 246K tokens of context. The model's official context limit is 256K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/qwen-3-vl-30b-a3b-on-a6000-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
16.8 GB |
| Medium |
| S87 |
Q4_K_M | 4 | 18.3 GB | Medium | S88 |
Q5_K_M | 5 | 21.6 GB | High | S89 |
Q6_K | 6 | 24.6 GB | High | S90 |
Q8_0Best for your GPU | 8 | 32.1 GB | Very High | S90 |
F16 | 16 | 61.5 GB | Maximum | F0 |