← All AI Models

Can you run Qwen 3 32B locally?

Qwen 3 family · April 2025 · 32.80B parameters · Hugging Face model card

Qwen 3 32B runs locally on a 24 GB GPU at Q4_K_M, which needs about 22.7 GB of VRAM with a 4k-token context. Qwen 3 32B is a dense 32.8-billion-parameter model with a native 40,960-token context, so longer contexts scale the KV cache to about 30.2 GB at 32k tokens.

Minimum: 24 GB VRAM GPU (RTX 3090, RTX 4090) at Q4_K_M, 4k context  ·  Recommended: 32 GB+ VRAM (RTX PRO 6000 Blackwell 96GB, or 2× 24GB) at Q6_K–Q8_0 for 32k context

Parameters (total)
32.80B
VRAM at Q4_K_M (4k ctx)
22.7 GB
Context window
40,960 tokens
Architecture source
HF config.json (verified)

How much VRAM does Qwen 3 32B need at each quantization?

Qwen 3 32B needs 22.7 GB of VRAM at Q4_K_M. The table below lists weights-only size and total VRAM including overhead for each common quantization level with 4k and 32k token contexts.

QuantizationBits / weightWeights onlyTotal + KV @4k ctxTotal + KV @32k ctx
Q4_K_M 4.8 19.7 GB 22.7 GB 30.2 GB
Q5_K_M 5.7 23.4 GB 26.8 GB 34.3 GB
Q6_K 6.6 27.1 GB 30.8 GB 38.4 GB
Q8_0 8.5 34.9 GB 39.4 GB 46.9 GB
FP16 16 65.6 GB 73.2 GB 80.8 GB

Method: weights = parameters × bits-per-weight (Q4_K_M ≈ 4.8, Q5_K_M ≈ 5.7, Q6_K ≈ 6.6, Q8_0 ≈ 8.5, FP16 = 16), plus 10% loading overhead, plus KV cache from the verified architecture config (64 layers, 8 KV heads, 128 head dim). Source: Params 32.8B, 64 layers, 8 KV heads, head dim 128, native 40960 context — HF config.json (Qwen/Qwen3-32B).

Which GPUs can run Qwen 3 32B locally?

At Q4_K_M with a 4k context, Qwen 3 32B needs 22.7 GB of VRAM. The lists below are computed live from our GPU database and grouped by how much headroom the card has. Disclosure: CompareAIHardware.com participates in the Amazon Associates program and earns from qualifying purchases through links on this page. Affiliate relationships do not influence our recommendations.

Runs Qwen 3 32B comfortably (25%+ VRAM headroom)

GPUVRAMBandwidthType
AMD Radeon Pro W7800 32 GB 576 GB/s Pro GPU Check price
GeForce RTX 5090 32 GB 1792 GB/s Consumer GPU Check price
NVIDIA RTX 5000 Ada 32 GB 576 GB/s Pro GPU Check price
NVIDIA RTX PRO 4500 Blackwell 32 GB 896 GB/s Pro GPU Check price
NVIDIA A100 40GB SXMEOL 40 GB 1555 GB/s Data Center GPU
AMD Radeon Pro W7900 48 GB 864 GB/s Pro GPU Check price
NVIDIA RTX PRO 5000 Blackwell 48 GB 1344 GB/s Pro GPU
RTX 6000 Ada 48 GB 960 GB/s Pro GPU Check price
RTX A6000 48 GB 768 GB/s Pro GPU Check price
H100 SXM 80 GB 3350 GB/s Data Center GPU
NVIDIA A100 80GB SXM 80 GB 2039 GB/s Data Center GPU
NVIDIA H100 PCIe 80GB 80 GB 2039 GB/s Data Center GPU
NVIDIA RTX PRO 6000 Blackwell 96 GB 1792 GB/s Pro GPU Check price
H200 SXM 141 GB 4800 GB/s Data Center GPU
AMD Instinct MI300X 192 GB 5300 GB/s Data Center GPU
NVIDIA B200 192 GB 8000 GB/s Data Center GPU
AMD Instinct MI325X 256 GB 6000 GB/s Data Center GPU
AMD Instinct MI355X 288 GB 8000 GB/s Data Center GPU
NVIDIA B300 (Blackwell Ultra) 288 GB 8000 GB/s Data Center GPU

Minimum GPUs that fit Qwen 3 32B at Q4_K_M

These GPUs hold the model but leave little headroom — keep contexts short.

GPUVRAMBandwidthType
GeForce RTX 3090EOL 24 GB 936 GB/s Consumer GPU Check price
GeForce RTX 3090 TiEOL 24 GB 1008 GB/s Consumer GPU Check price
GeForce RTX 4090 24 GB 1008 GB/s Consumer GPU Check price
NVIDIA RTX PRO 4000 Blackwell 24 GB 672 GB/s Pro GPU Check price
Radeon RX 7900 XTX 24 GB 960 GB/s Consumer GPU Check price

Needs 2+ GPUs to run Qwen 3 32B

One of these cards is too small on its own, but a pair (tensor or pipeline parallel, ~90% efficiency) covers the 22.7 GB requirement. See our multi-GPU guide for setup.

GPUVRAMBandwidthType
Arc A770 16GB 16 GB ×2 560 GB/s Consumer GPU Check price
GeForce RTX 4060 Ti 16GB 16 GB ×2 288 GB/s Consumer GPU Check price
GeForce RTX 4070 Ti SUPEREOL 16 GB ×2 672 GB/s Consumer GPU Check price
GeForce RTX 4080EOL 16 GB ×2 716 GB/s Consumer GPU Check price
GeForce RTX 4080 SUPER 16 GB ×2 736 GB/s Consumer GPU Check price
GeForce RTX 5060 Ti 16GB 16 GB ×2 448 GB/s Consumer GPU Check price
GeForce RTX 5070 Ti 16 GB ×2 896 GB/s Consumer GPU Check price
GeForce RTX 5080 16 GB ×2 960 GB/s Consumer GPU Check price
NVIDIA RTX PRO 2000 Blackwell 16 GB ×2 288 GB/s Pro GPU Check price
Radeon RX 6800 XTEOL 16 GB ×2 512 GB/s Consumer GPU Check price
Radeon RX 7600 XT 16 GB ×2 288 GB/s Consumer GPU Check price
Radeon RX 7800 XT 16 GB ×2 624 GB/s Consumer GPU Check price
Radeon RX 9070 16 GB ×2 640 GB/s Consumer GPU Check price
Radeon RX 9070 XT 16 GB ×2 640 GB/s Consumer GPU Check price
Radeon RX 7900 XT 20 GB ×2 800 GB/s Consumer GPU Check price

Can a Mac run Qwen 3 32B?

Yes — these Apple Silicon machines fit Qwen 3 32B at Q4_K_M, since macOS lets the GPU use about 75% of unified memory. Generation speed is bound by memory bandwidth, so the GB/s column matters as much as capacity.

Apple SiliconUnified memoryUsable by GPU (~75%)Bandwidth
Apple M4 32 GB 24 GB 120 GB/s
Apple M3 Pro 36 GB 27 GB 300 GB/s
Apple M4 Pro 64 GB 48 GB 273 GB/s
Apple M3 Max 128 GB 96 GB 400 GB/s
M4 Max (MacBook Pro) 128 GB 96 GB 546 GB/s
M3 Ultra (Mac Studio) 512 GB 384 GB 819 GB/s

Can Qwen 3 32B run on mini PCs, Jetson, or NPU devices?

These edge and NPU devices from our database have enough memory for Qwen 3 32B at Q4_K_M. Their memory bandwidth is far below discrete GPUs, so expect a fraction of desktop generation speed.

DeviceMemoryBandwidthType
Intel Core Ultra 9 288V (Lunar Lake) 32 GB 136 GB/s NPU Chip
Jetson AGX Orin 32GB 32 GB 204 GB/s Edge Compute Device
Jetson AGX Orin 64GB 64 GB 204 GB/s Edge Compute Device
Snapdragon X Elite (X1E-84-100) 64 GB 135 GB/s NPU Chip
AMD Ryzen AI 9 HX 370 (Strix Point) 96 GB 120 GB/s NPU Chip

Which pre-built systems can run Qwen 3 32B?

These mini PCs and workstations from our database fit Qwen 3 32B at Q4_K_M. Usable-memory figures are conservative: Windows shares about half of system RAM with the GPU by default (Linux can expose more), macOS lets Apple Silicon GPUs use about 75% of unified memory, and Linux unified-memory systems such as GB10 expose roughly 90%. Generation speed is bound by memory bandwidth, so compare the GB/s column before buying.

SystemTypeMemoryUsable for AIBandwidthGPUs
Mac mini M4 Max Mini PC 48 GB 24 GB 546 GB/s
Mac mini M4 Pro Mini PC 48 GB 24 GB 273 GB/s
ASRock DeskMeet X600 (Ryzen 7 7600) Mini PC 64 GB 32 GB 83 GB/s
BIZON G3000 G2 (1x RTX 5090) Workstation 32 GB 32 GB 1792 GB/s 1
Beelink SER9 Pro (Ryzen AI 9 HX 370, 64GB) Mini PC 64 GB 32 GB 120 GB/s
Custom RTX 5090 AI Workstation (Value Build) Workstation 32 GB 32 GB 1792 GB/s 1
HP Elite Mini 800 G9 (Core i7-13700T) Mini PC 64 GB 32 GB 83 GB/s
HP OMEN 45L RTX 5090 Desktop Workstation 32 GB 32 GB 1
Intel NUC 13 Pro (Core i7-1360P) Mini PC 64 GB 32 GB 83 GB/s
MinisForum UM780 XTX (Ryzen 7 7840HS) Mini PC 64 GB 32 GB 89 GB/s
MinisForum UM890 Pro (Ryzen 9 8945HS) Mini PC 64 GB 32 GB 89 GB/s
Puget Systems Datum (1x RTX 5090) Workstation 32 GB 32 GB 1792 GB/s 1
Sentinel RTX 5090 Tower Workstation Workstation 32 GB 32 GB 1
ASRock NUC BOX-255H (Core Ultra 7 255H) Mini PC 96 GB 48 GB 102 GB/s
Apple Mac Studio M2 Ultra (64GB) Workstation 64 GB 48 GB 800 GB/s 1
Custom Dual RTX 4090 Training Workstation Workstation 48 GB 48 GB 1008 GB/s 2
Dell Precision 7960 Tower (1x RTX 6000 Ada) Workstation 48 GB 48 GB 960 GB/s 1
HP Z8 Fury G5 (1x RTX 6000 Ada) Workstation 48 GB 48 GB 960 GB/s 1
AMD Ryzen AI Halo Developer Platform (Max+ 395) Mini PC 128 GB 64 GB 256 GB/s
ArsenalPC MES2X Dual RTX 5090 AI Workstation Workstation 64 GB 64 GB 2
GMKtec EVO-X2 (Ryzen AI Max+ 395) Mini PC 128 GB 64 GB 256 GB/s
Mac mini M4 Max (128GB) Mini PC 128 GB 64 GB 546 GB/s
MinisForum MS-S1 MAX (Ryzen AI Max+ 395) Mini PC 128 GB 64 GB 256 GB/s
BOXX APEXX 8R (1x RTX PRO 6000 Blackwell) Workstation 96 GB 96 GB 1792 GB/s 1
GEEKOM A9 Mega AI Workstation Workstation 128 GB 96 GB 1
NOVATECH RTX PRO 6000 AI Workstation Workstation 96 GB 96 GB 1
System76 Thelio Major (1x RTX PRO 6000 Blackwell) Workstation 96 GB 96 GB 1792 GB/s 1
System76 Thelio Major (2x RTX 6000 Ada) Workstation 96 GB 96 GB 960 GB/s 2
Lenovo ThinkStation PGX Workstation 128 GB 115.2 GB 273 GB/s 1
NVIDIA DGX Spark Workstation 128 GB 115.2 GB 273 GB/s 1
BIZON G3000 G2 (4x RTX 5090) Workstation 128 GB 128 GB 1792 GB/s 4
Apple Mac Studio M2 Ultra (192GB) Workstation 192 GB 144 GB 800 GB/s 1
HP Z8 Fury G5 (4x RTX 6000 Ada) Workstation 192 GB 192 GB 960 GB/s 4

Frequently asked questions

Can an RTX 4090 run Qwen 3 32B?

Yes. Qwen 3 32B needs about 22.7 GB of VRAM at Q4_K_M with a 4k context, which fits within the RTX 4090’s 24 GB. Budget contexts above roughly 12k tokens push the total past 24 GB, so enable YaRN context extension only on larger GPUs.

How much VRAM does Qwen 3 32B need at Q4?

Qwen 3 32B needs about 22.7 GB of VRAM at Q4_K_M with a 4k context: 19.68 GB of weights plus 10% overhead plus a 1.07 GB KV cache.

Does Qwen 3 32B support a 128k context locally?

Qwen 3 32B natively supports 40,960 tokens and extends to about 131k tokens with YaRN, per the Qwen 3 model card. The full extended-context KV cache alone needs about 43 GB of VRAM at FP16, so 128k contexts require 80 GB-class GPUs or KV-cache quantization.

Related guides