How much VRAM does Qwen3-Coder-Next need?

Qwen3-Coder-Next (80B parameters) requires approximately 57.7 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen3-Coder-Next?

The recommended quantization for Qwen3-Coder-Next is Q4_K_M, which balances quality and memory efficiency.

Can it run?

No, Qwen3-Coder-Next requires more memory than MacBook Pro M1 Max 64GB provides.

FWon't run

Too heavy

Using Q4_K_M in Ollama

Capabilities:

Fit status

Too heavy

Decode

16.1 tok/s

TTFT

11991 ms

Safe context

13K

Memory

57.7 GB / 46.1 GB

Weights48.8 GB

KV Cache0.8 GB

Runtime1.2 GB

Headroom6.9 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	F	Too heavy	13.7 tok/s	20613 ms	25K
Chat	F	Too heavy	13.7 tok/s	7730 ms	6K
Coding	F	Too heavy	16.1 tok/s	11991 ms	13K
RAG	F	Too heavy	13.7 tok/s	25766 ms	25K
Reasoning	F	Too heavy	13.7 tok/s	16748 ms	13K

How Qwen3-Coder-Next (80B params) fits at each quantization level on MacBook Pro M1 Max 64GB (46.1 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_KBest for your GPU	2	31.2 GB	Low	C44
Q3_K_S	3	39.2 GB	Low	C45

Upgrade options

MacBook Pro M3 Max 128GBBudget pick

C14.9 tok/s decode

~$2,499 MSRP

MacBook Pro M4 Max 96GBBest value

C21.4 tok/s decode

~$2,499 MSRP