Can the NVIDIA RTX 4060 run Qwen3 Coder 30B-A3B?

No

No. Even at Q4_K_M, Qwen3 Coder 30B-A3B needs about 19.9 GB, but the NVIDIA RTX 4060 has 8 GB usable. You could offload some layers to system RAM, but it will be very slow.

Try other context lengths in the calculator →
Run it in the cloud

Too big for the NVIDIA RTX 4060? Run Qwen3 Coder 30B-A3B on a rented GPU instead.

Rent a cloud GPU by the hour. No upfront cost, cancel any time.

Memory needed by quantization

At 8,192 tokens of context.

QuantQualityMemoryFits?Speed
FP16Full quality62.4 GBToo big—
Q8_0Near-lossless33.8 GBToo big—
Q6_KExcellent26.4 GBToo big—
Q5_K_MVery good23.1 GBToo big—
Q4_K_MGood, most popular19.9 GBToo big—
Q3_K_MNoticeably degraded16.3 GBToo big—
Q2_KHeavily degraded12.8 GBToo big—

How to run Qwen3 Coder 30B-A3B anyway

On a rented cloud GPU with enough memory, the same command you'd use locally works:

ollama run qwen3-coder:30b

At Q4_K_M it needs about 19.9 GB, so pick a GPU with at least 24 GB.

GPUs that run Qwen3 Coder 30B-A3B comfortably

Check NVIDIA RTX 3090 prices →

Models that run well on the NVIDIA RTX 4060