How much VRAM does Qwen3-Coder-Next need?

Qwen3-Coder-Next (80B parameters) requires approximately 64.6 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?

Yes, MacBook Pro M3 Max 128GB can run Qwen3-Coder-Next with a C grade (Runs well). Expected decode speed: 14.9 tok/s.

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

14.9 tok/s

TTFT

12991 ms

Safe context

23K

Memory

64.6 GB / 92.2 GB

Weights48.8 GB

KV Cache0.8 GB

Runtime1.2 GB

Headroom13.8 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	14.9 tok/s	18895 ms	46K
Chat	C	Runs well	14.9 tok/s	7086 ms	11K
Coding	C	Runs well	14.9 tok/s	12991 ms	23K
RAG	C	Runs well	14.9 tok/s	23619 ms	46K
Reasoning	C	Runs well	14.9 tok/s	15352 ms	23K

How Qwen3-Coder-Next (80B params) fits at each quantization level on MacBook Pro M3 Max 128GB (92.2 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	31.2 GB	Low	D37
Q3_K_S	3	39.2 GB	Low	D39
NVFP4	4

Ollama

ollama run qwen-3-coder-next

HuggingFace

huggingface-cli download qwen-3-coder-next

Upgrade options

AMD Instinct MI250X 128GBBudget pick

C155 tok/s decode

~$15,000 MSRP

NVIDIA H200 141GBBest value

C250.4 tok/s decode

~$30,000 MSRP

NVIDIA GH200 96GBBiggest leap

B201.2 tok/s decode