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Can you run Qwen 3.8 Flash (Flash-Next) locally?

qwen family · Sep 2026 · 125B parameters (6B activated per token) · Hugging Face model card

Sparse 125B/6B MoE. Q4 ~103-111 GB: fits 128 GB AMD AI Max mini PCs resident; ~75 GB minimum with SSD streaming.

Minimum: 75 GB+ memory (SSD streaming)  ·  Recommended: 128 GB unified memory (AI Max mini / Mac)

Parameters (total)
125B
Activated per token
6B (MoE)
Context window
262,144 tokens
Architecture source
HF config.json (verified)

How much VRAM does Qwen 3.8 Flash (Flash-Next) need at each quantization?

Qwen 3.8 Flash (Flash-Next) needs 82.5 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 75.0 GB 82.5 GB 82.5 GB
Q5_K_M 5.7 89.1 GB 98.0 GB 98.0 GB
Q6_K 6.6 103.1 GB 113.4 GB 113.4 GB
Q8_0 8.5 132.8 GB 146.1 GB 146.1 GB
FP16 16 250.0 GB 275.0 GB 275.0 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 (not applicable to this architecture). Source: Qwen3.8-Flash-Next: 125B main (+51B n-gram + 4B MTP, ~177B checkpoint), 6B active/token, hybrid GDN/QSA, 262K context. Sources: qwen.ai blog, Unsloth docs | run2 2026-09-12: repo (Qwen3.8-Flash-Next) safetensors total 180B likely spans multiple formats; param count per Qwen announcement; license 'other' per repo card

Which GPUs can run Qwen 3.8 Flash (Flash-Next) locally?

At Q4_K_M with a 4k context, Qwen 3.8 Flash (Flash-Next) needs 82.5 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 3.8 Flash (Flash-Next) comfortably (25%+ VRAM headroom)

GPUVRAMBandwidthType
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 3.8 Flash (Flash-Next) at Q4_K_M

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

GPUVRAMBandwidthType
NVIDIA RTX PRO 6000 Blackwell 96 GB 1792 GB/s Pro GPU Check price

Needs 2+ GPUs to run Qwen 3.8 Flash (Flash-Next)

One of these cards is too small on its own, but a pair (tensor or pipeline parallel, ~90% efficiency) covers the 82.5 GB requirement. See our multi-GPU guide for setup.

GPUVRAMBandwidthType
AMD Radeon Pro W7900 48 GB ×2 864 GB/s Pro GPU Check price
NVIDIA RTX PRO 5000 Blackwell 48 GB ×2 1344 GB/s Pro GPU
RTX 6000 Ada 48 GB ×2 960 GB/s Pro GPU Check price
RTX A6000 48 GB ×2 768 GB/s Pro GPU Check price
H100 SXM 80 GB ×2 3350 GB/s Data Center GPU
NVIDIA A100 80GB SXM 80 GB ×2 2039 GB/s Data Center GPU
NVIDIA H100 PCIe 80GB 80 GB ×2 2039 GB/s Data Center GPU

Can a Mac run Qwen 3.8 Flash (Flash-Next)?

Yes — these Apple Silicon machines fit Qwen 3.8 Flash (Flash-Next) 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 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 Qwen 3.8 Flash (Flash-Next) run on mini PCs, Jetson, or NPU devices?

These edge and NPU devices from our database have enough memory for Qwen 3.8 Flash (Flash-Next) at Q4_K_M. Their memory bandwidth is far below discrete GPUs, so expect a fraction of desktop generation speed.

DeviceMemoryBandwidthType
AMD Ryzen AI 9 HX 370 (Strix Point) 96 GB 120 GB/s NPU Chip

Which pre-built systems can run Qwen 3.8 Flash (Flash-Next)?

These mini PCs and workstations from our database fit Qwen 3.8 Flash (Flash-Next) 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
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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