How much VRAM does Qwen3-VL 30B A3B Instruct need?

Qwen3-VL 30B A3B Instruct (30B parameters) requires approximately 23.5 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen3-VL 30B A3B Instruct?

The recommended quantization for Qwen3-VL 30B A3B Instruct is Q4_K_M, which balances quality and memory efficiency.

Can it run?

Yes, RTX 4000 Ada 20GB can run Qwen3-VL 30B A3B Instruct with a C grade (Very compromised). Expected decode speed: 32.6 tok/s.

CUsable

Very compromised

Using Q4_K_M in vLLM

Capabilities:

Fit status

Very compromised

Decode

32.6 tok/s

TTFT

5947 ms

Safe context

14K

Memory

23.5 GB / 20.0 GB

Offload

10%

Weights18.3 GB

KV Cache0.8 GB

Runtime2.4 GB

Headroom2.0 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	D	Very compromised (needs ~2.8 GB host RAM)	35.1 tok/s	8023 ms	27K
Chat	C	Very compromised (needs ~2.7 GB host RAM)	35.3 tok/s	2994 ms	7K
Coding	C	Very compromised	32.6 tok/s	5947 ms	14K
RAG	D	Very compromised (needs ~2.8 GB host RAM)	35.1 tok/s	10029 ms	27K
Reasoning	C	Very compromised (needs ~2.7 GB host RAM)	35.3 tok/s

How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on RTX 4000 Ada 20GB (20.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_KBest for your GPU	2	11.7 GB	Low	C42
Q3_K_S	3	14.7 GB	Low	C45

HuggingFace

huggingface-cli download qwen-3-vl-30b-a3b

Upgrade options

RX 7900 XTX 24GBBest value

C99.4 tok/s decode

~$999 MSRP

Mac mini M4 64GBBudget pick

C12.4 tok/s decode

~$1,099 MSRP

RTX 5090 32GBNVIDIA upgrade