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Can you run Qwen3.6-35B-A3B locally?

Qwen3.6 family · Apr 2026 · 36B parameters (3B activated per token) · Hugging Face model card

Qwen3.6-35B-A3B is a mixture-of-experts model with 3B active parameters per token and 35.95B total open weights (official card: 35B total / 3B activated; HF safetensors.total=35,951,822,704). Native context is 262,144 tokens, apache-2.0. Local VRAM fit uses the 3B active count, not the 36B dense-equivalent: roughly 8 GB at Q4-class (calculated). Weights still occupy ~36B-class disk. Measured speeds: not yet published here.

Minimum: 8 GB+ memory (Q4-class on 3B active, calculated)  ·  Recommended: 8 GB+ for comfortable context headroom (Q4-class on 3B active, calculated)

Parameters (total)
36B
Activated per token
3B (MoE)
Context window
262,144 tokens
Architecture source
HF config.json (verified)

How much VRAM does Qwen3.6-35B-A3B need at each quantization?

Qwen3.6-35B-A3B needs 24.1 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 21.6 GB 24.1 GB 26.4 GB
Q5_K_M 5.7 25.6 GB 28.5 GB 30.9 GB
Q6_K 6.6 29.7 GB 33.0 GB 35.3 GB
Q8_0 8.5 38.2 GB 42.4 GB 44.7 GB
FP16 16 71.9 GB 79.4 GB 81.8 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 (40 layers, 2 KV heads, 256 head dim). Source: HF-verified 2026-09-21 via api (gated=false params=35.95B safetensors.total=35951822704 ctx=262144 license=apache-2.0 repo=Qwen/Qwen3.6-35B-A3B@995ad96eacd98c81ed38be0c5b274b04031597b0 layers=40 kv_heads=2 head_dim=256). MoE: num_experts=256 num_experts_per_tok=8 active_params_b=3.0 (vendor card; VRAM fit uses active, not dense-equivalent). VRAM figures are documented calculations, not measurements.

Which GPUs can run Qwen3.6-35B-A3B locally?

At Q4_K_M with a 4k context, Qwen3.6-35B-A3B needs 24.1 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 Qwen3.6-35B-A3B 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

Needs 2+ GPUs to run Qwen3.6-35B-A3B

One of these cards is too small on its own, but a pair (tensor or pipeline parallel, ~90% efficiency) covers the 24.1 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
GeForce RTX 3090EOL 24 GB ×2 936 GB/s Consumer GPU Check price
GeForce RTX 3090 TiEOL 24 GB ×2 1008 GB/s Consumer GPU Check price
GeForce RTX 4090 24 GB ×2 1008 GB/s Consumer GPU Check price
NVIDIA RTX PRO 4000 Blackwell 24 GB ×2 672 GB/s Pro GPU Check price
Radeon RX 7900 XTX 24 GB ×2 960 GB/s Consumer GPU Check price

Can a Mac run Qwen3.6-35B-A3B?

Yes — these Apple Silicon machines fit Qwen3.6-35B-A3B 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 M3 Pro 36 GB 27 GB 300 GB/s
Apple M4 Pro 64 GB 48 GB 273 GB/s
M3 Ultra (Mac Studio, 96 GB) 96 GB 72 GB 819 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, 256 GB) 256 GB 192 GB 819 GB/s

Can Qwen3.6-35B-A3B run on mini PCs, Jetson, or NPU devices?

These edge and NPU devices from our database have enough memory for Qwen3.6-35B-A3B 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 Qwen3.6-35B-A3B?

These mini PCs and workstations from our database fit Qwen3.6-35B-A3B 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
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
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

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