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 Max 32GB can run Qwen3-VL 30B A3B Instruct with a C grade (Very compromised). Expected decode speed: 36.5 tok/s.

CUsable

Very compromised

Using Q4_K_M in vLLM

Capabilities:

Fit status

Very compromised

Decode

36.5 tok/s

TTFT

5300 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	C	Very compromised (needs ~1.5 GB host RAM)	30.9 tok/s	9125 ms	29K
Chat	C	Very compromised (needs ~1.4 GB host RAM)	30.9 tok/s	3417 ms	7K
Coding	C	Very compromised	36.5 tok/s	5300 ms	15K
RAG	C	Very compromised (needs ~1.5 GB host RAM)	30.9 tok/s	11406 ms	29K
Reasoning	C	Very compromised (needs ~1.4 GB host RAM)	30.9 tok/s

How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on MacBook Pro M1 Max 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