Advisor / Models / Qwen3.8 Flash Next

Qwen3.8 Flash Next: VRAM requirements & speed

Qwen3.8 Flash Next (180B MoE, 6B active, qwen-community-1.0). Native context 256k. Smallest GGUF: 111.33 GB.

111.33 GBsmallest quant file
3hardware pages that fit it fully
1run with offload
1measured data points

Memory needed by quantization and context

GGUF file size plus f16 KV cache (and fixed overhead of ~1 GB per GPU not shown). Source: unsloth/Qwen3.8-Flash-Next-GGUF.

QuantFile+8k ctx+32k ctx+128k ctx+256k ctx
Q4_K_M UD-Q4_K_XL111.33 GB111.6 GB112.3 GB114.7 GB117.9 GB
Q5_K_M UD-Q5_K_XL158.29 GB158.6 GB159.2 GB161.6 GB164.9 GB
Q8_0188.23 GB188.5 GB189.2 GB191.6 GB194.8 GB

KV cache size by context length

Computed from the model's attention layout, including a fixed 0.12 GB linear-attention state.

Contextf16q8_0q4_0
8k0.32 GB0.22 GB0.17 GB
32k0.92 GB0.55 GB0.34 GB
128k3.34 GB1.83 GB1.02 GB
256k6.56 GB3.54 GB1.93 GB

Which hardware runs Qwen3.8 Flash Next? · 16k context

HardwareQuantFitMemoryTok/sSpeed source
Mac Studio M5 Ultra 256GBUD-Q5_K_XLfits fully158.8 GB111estimated
Mac Studio M5 Ultra 512GB (ships late Oct 2026)Q8_0fits fully188.8 GB93estimated
RTX PRO 6000 96GBUD-Q4_K_XLMoE offload to CPU111.9 GB70estimated
AMD Ryzen AI Max+ PRO 495 (Ryzen AI Halo) 192GBUD-Q5_K_XLfits fully158.8 GB33estimated
RTX 3090 24GB-does not fit--
RTX 4090 24GB-does not fit--
RTX 5090 32GB-does not fit--
RTX 3060 12GB (32GB RAM)-does not fit--
8GB VRAM class (RTX 4060 8GB, 32GB RAM)-does not fit--
16GB VRAM class (RTX 4060 Ti 16GB, 32GB RAM)-does not fit--
RTX 5070 12GB-does not fit--
RTX 4070 12GB-does not fit--
RTX 5070 Ti 16GB-does not fit--
RTX 5080 16GB-does not fit--
AMD RX 7900 XTX 24GB-does not fit--
AMD Ryzen AI Max+ 395 (Strix Halo) 128GB-does not fit--
NVIDIA DGX Spark 128GB-does not fit--
Mac Studio (2025) M3 Ultra 96GB-does not fit--
MacBook Pro 14/16 (2024) M4 Max 128GB-does not fit--
Mac mini / iMac M4 16GB-does not fit--
Mac mini (2024) M4 Pro 64GB-does not fit--
2x RTX 3090 (48GB total)-does not fit--
Mac Studio M5 Max 128GB-does not fit--
MacBook Pro 14/16 M5 Max 128GB-does not fit--
MacBook Pro 14/16 M5 Pro 48GB-does not fit--
Mac mini M6 32GB-does not fit--
MacBook Air M5 32GB-does not fit--
RTX 5060 Ti 16GB-does not fit--

Discrete GPUs are modelled with 32 GB of system RAM available for offload. Does not fit even with offload: RTX 3090 24GB, RTX 4090 24GB, RTX 5090 32GB, RTX 3060 12GB (32GB RAM), 8GB VRAM class (RTX 4060 8GB, 32GB RAM), 16GB VRAM class (RTX 4060 Ti 16GB, 32GB RAM), RTX 5070 12GB, RTX 4070 12GB, RTX 5070 Ti 16GB, RTX 5080 16GB, AMD RX 7900 XTX 24GB, AMD Ryzen AI Max+ 395 (Strix Halo) 128GB, NVIDIA DGX Spark 128GB, Mac Studio (2025) M3 Ultra 96GB, MacBook Pro 14/16 (2024) M4 Max 128GB, Mac mini / iMac M4 16GB, Mac mini (2024) M4 Pro 64GB, 2x RTX 3090 (48GB total), Mac Studio M5 Max 128GB, MacBook Pro 14/16 M5 Max 128GB, MacBook Pro 14/16 M5 Pro 48GB, Mac mini M6 32GB, MacBook Air M5 32GB, RTX 5060 Ti 16GB.

MLX conversions for Apple Silicon

RepoBitsSizeRuns with
mlx-community/Qwen3.8-Flash-Next-4bit4-bit (4bit)111.5 GBmlx-vlm

Verified via the Hugging Face API on 2026-10-20. Compare with the GGUF sizes above (Q4_K_M 111.33 GB, Q8_0 188.23 GB). Mac hardware pages show the MLX command; there are no MLX speeds on this site yet. MLX vs GGUF.

Links

Model card · GGUF files · Open in the advisor · last verified 2026-10-20

FAQ

How much VRAM does Qwen3.8 Flash Next need?

The smallest quant (Q4_K_M) is 111.33 GB, so you need roughly 113 GB for an 8k context including KV cache and overhead. At 256k context the f16 KV cache alone is 6.6 GB.

Can I run Qwen3.8 Flash Next on a Mac Studio M5 Ultra 256GB?

Yes: on Mac Studio M5 Ultra 256GB it fits fully as UD-Q5_K_XL at about 111 tok/s (estimated). 3 of 28 hardware configurations fit it fully at 16k context.

What is the maximum context for Qwen3.8 Flash Next?

256k tokens natively. Memory, not the model, is usually the limit: see the KV cache table above.

All models: model index · by memory: 8 GB · 12 GB · 16 GB · 24 GB · 32 GB · 48 GB · 64 GB · 96 GB · 128 GB · 192 GB · 256 GB · 512 GB. Numbers use the same fit math as the advisor; sources and methods.