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

Qwen3-VL 30B A3B Instruct (30B parameters) requires approximately 25.0 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, MacBook Pro M1 Pro 32GB can run Qwen3-VL 30B A3B Instruct with a D grade (Very compromised). Expected decode speed: 18.3 tok/s.

DPoor

Very compromised

Using Q4_K_M in vLLM

Capabilities:

Fit status

Very compromised

Decode

18.3 tok/s

TTFT

10600 ms

Safe context

15K

Memory

25.0 GB / 23.0 GB

Offload

10%

Weights18.3 GB

KV Cache0.8 GB

Runtime2.4 GB

Headroom3.5 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	D	Very compromised (needs ~1.5 GB host RAM)	18.2 tok/s	15443 ms	29K
Chat	D	Very compromised (needs ~1.4 GB host RAM)	18.3 tok/s	5782 ms	7K
Coding	D	Very compromised	18.3 tok/s	10600 ms	15K
RAG	D	Very compromised (needs ~1.5 GB host RAM)	18.2 tok/s	19303 ms	29K
Reasoning	D	Very compromised (needs ~1.4 GB host RAM)	18.3 tok/s

How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on MacBook Pro M1 Pro 32GB (23.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	11.7 GB	Low	C40
Q3_K_S	3	14.7 GB	Low	C43
NVFP4Best for your GPU

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