How much VRAM does Qwen3.5 122B A10B need?

Qwen3.5 122B A10B (122B parameters) requires approximately 83.2 GB of memory with Q3_K_M quantization.

What is the best quantization for Qwen3.5 122B A10B?

The recommended quantization for Qwen3.5 122B A10B is Q3_K_M, which balances quality and memory efficiency.

Can it run?

No, Qwen3.5 122B A10B requires more memory than NVIDIA V100 32GB provides.

FWon't run

Too heavy

Using Q3_K_M in Ollama

Capabilities:

Fit status

Too heavy

Decode

9.4 tok/s

TTFT

20638 ms

Safe context

Memory

83.2 GB / 32.0 GB

Weights59.8 GB

KV Cache19.1 GB

Runtime1.2 GB

Headroom3.2 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	F	Too heavy	9.4 tok/s	30018 ms	10K
Chat	F	Too heavy	9.4 tok/s	11257 ms	4K
Coding	F	Too heavy	9.4 tok/s	20638 ms	6K
RAG	F	Too heavy	9.4 tok/s	37523 ms	10K
Reasoning	F	Too heavy	9.4 tok/s	24390 ms	6K

How Qwen3.5 122B A10B (122B params) fits at each quantization level on NVIDIA V100 32GB (32.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	47.6 GB	Low	F0
Q3_K_S	3	59.8 GB	Low	F0
NVFP4	4

Upgrade options

MacBook Pro M3 Max 128GBBest value

C3.7 tok/s decode

~$2,499 MSRP

AMD Instinct MI350X 288GBBudget pick

C90.9 tok/s decode

~$8,000 MSRP

NVIDIA H200 141GBNVIDIA upgrade