How much VRAM does Qwen3.5 35B A3B need?

Qwen3.5 35B A3B (35B parameters) requires approximately 29.6 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen3.5 35B A3B?

The recommended quantization for Qwen3.5 35B A3B is Q4_K_M, which balances quality and memory efficiency.

Can it run?

No, Qwen3.5 35B A3B requires more memory than RTX 4070 Ti Super 16GB provides.

FWon't run

Too heavy

Using Q4_K_M in Ollama

Capabilities:

Fit status

Too heavy

Decode

22.7 tok/s

TTFT

8543 ms

Safe context

Memory

29.6 GB / 16.0 GB

Weights21.4 GB

KV Cache5.5 GB

Runtime1.2 GB

Headroom1.6 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	F	Too heavy	25.2 tok/s	11183 ms	15K
Chat	F	Too heavy	25.2 tok/s	4194 ms	5K
Coding	F	Too heavy	22.7 tok/s	8543 ms	9K
RAG	F	Too heavy	25.2 tok/s	13979 ms	15K
Reasoning	F	Too heavy	25.2 tok/s	9086 ms	9K

How Qwen3.5 35B A3B (35B params) fits at each quantization level on RTX 4070 Ti Super 16GB (16.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	13.7 GB	Low	C44
Q3_K_S	3	17.2 GB	Low	F0
NVFP4	4

Upgrade options

Mac mini M4 64GBBudget pick

C4 tok/s decode

~$1,099 MSRP

MacBook Pro M4 Pro 64GBBest value

C9.8 tok/s decode

~$1,599 MSRP

NVIDIA A100 40GBBiggest leap