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

Qwen3.5 122B A10B (122B parameters) requires approximately 86.4 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 A16 64GB provides.

FWon't run

Too heavy

Using Q3_K_M in Ollama

Capabilities:

Fit status

Too heavy

Decode

6.7 tok/s

TTFT

28807 ms

Safe context

12K

Memory

86.4 GB / 64.0 GB

Weights59.8 GB

KV Cache19.1 GB

Runtime1.2 GB

Headroom6.4 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	F	Too heavy	7.3 tok/s	38678 ms	19K
Chat	F	Too heavy	7.3 tok/s	14504 ms	7K
Coding	F	Too heavy	6.7 tok/s	28807 ms	12K
RAG	F	Too heavy	7.3 tok/s	48347 ms	19K
Reasoning	F	Too heavy	7.3 tok/s	31426 ms	12K

How Qwen3.5 122B A10B (122B params) fits at each quantization level on NVIDIA A16 64GB (64.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	47.6 GB	Low	C45
Q3_K_S	3	59.8 GB	Low	C45
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