Can the MacBook Pro 16" M4 Max run Qwen3.5 35B A3B?

Yes. Qwen3.5 35B A3B fits the MacBook Pro 16" M4 Max's 48 GB at Q4_K_M (about 22.8 GB needed), running at an estimated 119 tok/s. There's room for up to Q8_0 if you want higher quality.

Memory
48 GB
Needs at Q4
22.8 GB
Headroom
25.2 GB
Speed (Q4_K_M)
~119 tok/s

Every quantization

Qwen3.5 35B A3B (36B, 3B active) on 48 GB

QuantWeightsNeedsFitEst. speed
Q4_K_M21 GB22.8 GBFits easily~119 tok/s
Q5_K_M26 GB27.8 GBFits easily~96 tok/s
Q8_039 GB40.8 GBFits~64 tok/s
FP1672 GB73.8 GBToo big -

Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the MacBook Pro 16" M4 Max's 546 GB/s bandwidth (Estimated from memory bandwidth (llama.cpp decode)). Long contexts need more memory and run slower.

Run it

Copy, paste, go

llama-server -hf unsloth/Qwen3.5-35B-A3B-GGUF -ngl 99

Ollama pulls a Q4 build by default. Pick a larger quant only if the table above says it fits. Full Qwen3.5 35B A3B details →

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Same model, other hardware - and other models on this card

Qwen3.5 35B A3B on other hardware

Also runs on the MacBook Pro 16" M4 Max

Frequently asked

Quick answers

Can the Apple MacBook Pro 16" M4 Max run Qwen3.5 35B A3B?

Yes. Qwen3.5 35B A3B fits the MacBook Pro 16" M4 Max's 48 GB at Q4_K_M (about 22.8 GB needed), running at an estimated 119 tok/s. There's room for up to Q8_0 if you want higher quality.

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

About 21 GB of weights at Q4_K_M, 39 GB at Q8_0 and 72 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.

How fast is Qwen3.5 35B A3B on the MacBook Pro 16" M4 Max?

Roughly 119 tokens per second at Q4_K_M (single user, llama.cpp-style decode). This is an estimate from the MacBook Pro 16" M4 Max's 546 GB/s memory bandwidth; as a mixture-of-experts model only about 3B parameters are read per token, which is why it is faster than its size suggests.