How much VRAM does Qwen 3 235B A22B need?

Qwen 3 235B A22B (235B parameters) requires approximately 149.3 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 3 235B A22B?

The recommended quantization for Qwen 3 235B A22B is Q4_K_M, which balances quality and memory efficiency.

Can it run?

No, Qwen 3 235B A22B requires more memory than RTX 4090 Laptop 16GB provides.

FWon't run

Too heavy

Using Q4_K_M in llama.cpp

Capabilities:

Fit status

Too heavy

Decode

7.7 tok/s

TTFT

25087 ms

Safe context

Memory

149.3 GB / 16.0 GB

Weights143.4 GB

KV Cache3.4 GB

Runtime0.9 GB

Headroom1.6 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	F	Too heavy	8.6 tok/s	32842 ms	4K
Chat	F	Too heavy	8.6 tok/s	12316 ms	4K
Coding	F	Too heavy	7.7 tok/s	25087 ms	4K
RAG	F	Too heavy	8.6 tok/s	41052 ms	4K
Reasoning	F	Too heavy	8.6 tok/s	26684 ms	4K

How Qwen 3 235B A22B (235B params) fits at each quantization level on RTX 4090 Laptop 16GB (16.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	91.7 GB	Low	F0
Q3_K_S	3	115.2 GB	Low	F0
NVFP4	4

Upgrade options

AMD Instinct MI350X 288GBBudget pick

B108.7 tok/s decode

~$8,000 MSRP

AMD Instinct MI300X 192GBBest value

C76.9 tok/s decode

~$15,000 MSRP