Qwen3.5 35B-A3B Instruct

Qwen3.5 35B-A3B Instruct loads in 20 GB at Q4_K_M and is comfortable from 32 GB of memory, Macs included from the MacBook Pro M5 Pro 48GB. Below: the full memory math, the cheapest card that runs it well, and the fastest machine we track.

PARAMETERS
35B (3B active)
FORMAT
Q4_K_M
MIN MEMORY
32 GB
BEST FOR
Reasoning, Coding, Agent scenarios

Memory math

Weights (Q4_K_M)
20 GB
+ KV cache (16k)
~0.3 GB
Total at 16k
~20.3 GB
Comfortable from
32 GB

KV = fp16 estimate (q8_0 cache roughly halves it). "Comfortable" = weights + KV within the engine's tiered budget (~70-85% of memory).

Hardware snapshot

Cheapest GPU
~72 tok/s est. — ~$700 used
Fastest
~118 tok/s est.
Runs on a Mac?
~39 tok/s est.

Go deeper

More Qwen models

Frequently asked questions

How much memory does Qwen3.5 35B-A3B Instruct need?

20 GB for the Q4_K_M weights, plus ~0.3 GB of KV-cache at 16k context — about 20.3 GB total. Comfortable from 32 GB of VRAM or unified memory.

Does Qwen3.5 35B-A3B Instruct run on a Mac?

Yes — from the MacBook Pro M5 Pro 48GB (~39 tok/s est.). Unified memory means the RAM budget is the only limit.

What is the cheapest GPU for Qwen3.5 35B-A3B Instruct?

The AMD Radeon RX 7900 XTX is the cheapest tracked card that runs Qwen3.5 35B-A3B Instruct comfortably — ~72 tok/s est. at ~$700 used.

Cite this page

ModelFit: Qwen3.5 35B-A3B Instruct — specs, memory math and hardware verdicts.
https://modelfit.io/models/qwen3.5-35b-a3b/ (dataset updated 2026-09-03, CC BY 4.0).