LLMQwenMIT

Qwen3 235B A22B

Qwen/Qwen3-235B-A22B

MoE variant, 235B total / 22B active. Needs multi-GPU or 141GB+ VRAM.

Parameters

235B

Context

256K

Downloads

460K

Likes

3.1K

Architecture

moe_transformer

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
558.7 GB
RAM 838.0 · Disk 721.9
599.6 GB
RAM 899.4 · Disk 747.9
721.7 GB
RAM 1082.5 · Disk 786.9
FP88bit
281.8 GB
RAM 422.7 · Disk 380.4
310.1 GB
RAM 465.2 · Disk 406.4
419.6 GB
RAM 629.4 · Disk 445.4
INT88bit
281.8 GB
RAM 422.7 · Disk 380.4
310.1 GB
RAM 465.2 · Disk 406.4
419.6 GB
RAM 629.4 · Disk 445.4
AWQ4bit
148.6 GB
RAM 222.9 · Disk 216.1
170.9 GB
RAM 256.3 · Disk 242.1
274.3 GB
RAM 411.4 · Disk 281.1
GPTQ4bit
150.3 GB
RAM 225.5 · Disk 218.3
172.7 GB
RAM 259.0 · Disk 244.3
276.2 GB
RAM 414.3 · Disk 283.3
GGUF4bit
153.8 GB
RAM 230.6 · Disk 222.5
176.3 GB
RAM 264.4 · Disk 248.5
279.9 GB
RAM 419.9 · Disk 287.5

GPU Recommendations

Best ValueBEST

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 135.3 tok/s

Effective production throughput ≈ 94.7 tok/s

score 0.2601

Cheapest

8× RTX 3090

192 GB VRAM

$630/mo

≈ 26.4 tok/s

Effective production throughput ≈ 18.5 tok/s

score 0.531

Deploy on vast ↗
Performance

4× H200 SXM

564 GB VRAM

$10,220/mo

≈ 101.5 tok/s

Effective production throughput ≈ 71.1 tok/s

score 0.3501

Min Complexity

1× B200

180 GB VRAM

$3,013/mo

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

Effective production throughput ≈ 0 tok/s

score 0.5741

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

View Community →

GPUs that fit (single card)

B200

180 GB VRAM

$3,013

/mo · vast

B200 SXM

180 GB VRAM

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