Coding AIQwenMIT

Qwen3-Coder 480B

Qwen/Qwen3-Coder-480B-A35B-Instruct

Parameters

480B

Context

256K

Downloads

88.7K

Likes

1.4K

Architecture

moe_transformer

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
1136.0 GB
RAM 1703.9 · Disk 1433.8
1203.1 GB
RAM 1804.7 · Disk 1459.8
1351.4 GB
RAM 2027.1 · Disk 1498.8
FP88bit
570.5 GB
RAM 855.7 · Disk 736.4
611.9 GB
RAM 917.9 · Disk 762.4
734.5 GB
RAM 1101.8 · Disk 801.4
INT88bit
570.5 GB
RAM 855.7 · Disk 736.4
611.9 GB
RAM 917.9 · Disk 762.4
734.5 GB
RAM 1101.8 · Disk 801.4
AWQ4bit
298.3 GB
RAM 447.5 · Disk 400.8
327.4 GB
RAM 491.1 · Disk 426.8
437.6 GB
RAM 656.4 · Disk 465.8
GPTQ4bit
301.8 GB
RAM 452.8 · Disk 405.1
331.1 GB
RAM 496.6 · Disk 431.1
441.5 GB
RAM 662.2 · Disk 470.1
GGUF4bit
308.9 GB
RAM 463.4 · Disk 413.8
338.5 GB
RAM 507.7 · Disk 439.8
449.2 GB
RAM 673.8 · Disk 478.8

GPU Recommendations

Best ValueBEST

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 66.2 tok/s

Effective production throughput ≈ 46.3 tok/s

score 0.2971

Cheapest

8× RTX A6000

384 GB VRAM

$1,678/mo

≈ 10.6 tok/s

Effective production throughput ≈ 7.4 tok/s

score 0.5152

Deploy on vast ↗
Performance

4× H200 SXM

564 GB VRAM

$10,220/mo

≈ 49.7 tok/s

Effective production throughput ≈ 34.8 tok/s

score 0.4242

Min Complexity

2× B200

360 GB VRAM

$6,026/mo

≈ 0 tok/s (N/A — benchmark unavailable)

Effective production throughput ≈ 0 tok/s

score 0.4795

Deploy on vast ↗

💬 Community — real deployment experience

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