What GPU do I need to run Qwen/Qwen3-Coder-480B-A35B-Instruct?

480.2B parameters, published in BF16. View on Hugging Face

480.2B
Parameters
BF16
Native precision
Qwen3MoeForCausalLM
Architecture
text-generation
Pipeline

Qwen3-Coder-480B-A35B-Instruct is published by Qwen on Hugging Face, with 31,122 downloads and 1,366 likes to date. It's a Qwen3MoeForCausalLM model built for text-generation, published natively in BF16.

VRAM required & cheapest live GPU fit

Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.

Precision
Weight size
Required VRAM
Cheapest live fit
GPUs needed
Est. $/hr (full fit)
BF16
894.4 GB
1073.2 GB
No capable live offer found
FP8 (quantized)
447.2 GB
536.6 GB
RTX PRO 6000 (runpod)
6
$9.84/hr
INT4 (quantized)
223.6 GB
268.3 GB
A40 (runpod)
6
$2.64/hr

A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.

INT4 caveat: requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.

Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.

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