How fast will Qwen 3.8 Flash-Next feel on your hardware?

Qwen 3.8 Flash-Next speed on GPUs and Macs

Qwen 3.8 Flash-Next is a 180B-parameter mixture-of-experts model (6B active per token). Smaller quantizations need less memory and run faster, at some cost in quality. Below is the expected speed on each piece of hardware at the best quantization that fits.

HardwareQuantizationMemoryGenerationFirst token
H200 141GB (cloud)Q4_K_MFits525 tok/s0.3 s
NVIDIA RTX PRO 6000 96GBGSQ-RCO-IQ3_SFits280 tok/s0.3 s
Mac Studio M5 Ultra 256GBQ4_K_MFits161 tok/s0.3 s
Mac Studio M5 Ultra 512GBQ4_K_MFits145 tok/s0.3 s
Mac Studio M3 Ultra 512GBQ4_K_MFits110 tok/s0.3 s
MacBook Pro M5 Max 128GBQ3_K_MFits107 tok/s0.3 s
Mac Studio M4 Max 128GBQ3_K_MFits95 tok/s0.4 s
AMD Ryzen AI Max+ PRO 495 192GB (Gorgon Halo)Q4_K_MFits44 tok/s0.4 s
NVIDIA RTX Spark N1X 128GB (laptop)UD-Q4_K_XLFits35 tok/s0.3 s
NVIDIA DGX Spark 128GBUD-Q4_K_XLFits27 tok/s0.8 s
AMD Ryzen AI Max+ 395 128GB (Strix Halo)UD-Q4_K_XLFits22 tok/s0.4 s
CPU-only (Ryzen 9 9950X, 96GB DDR5)GSQ-RCO-IQ3_SFits22 tok/s0.4 s
NVIDIA RTX 3090 24GBQ2_KDoesn't fitWon't run—
NVIDIA RTX 5090 32GBQ2_KDoesn't fitWon't run—
AMD Radeon AI PRO R9700 32GBQ2_KDoesn't fitWon't run—
NVIDIA RTX 4090 24GBQ2_KDoesn't fitWon't run—
NVIDIA RTX 5060 Ti 16GBQ2_KDoesn't fitWon't run—
NVIDIA Tesla V100 32GBQ2_KDoesn't fitWon't run—
Intel Arc Pro B70 32GBQ2_KDoesn't fitWon't run—
AMD RX 7900 XTX 24GBQ2_KDoesn't fitWon't run—
NVIDIA RTX 5070 Ti 16GBQ2_KDoesn't fitWon't run—
NVIDIA RTX 3060 12GBQ2_KDoesn't fitWon't run—
NVIDIA RTX 5080 16GBQ2_KDoesn't fitWon't run—
Mac mini M5 Pro 64GBQ2_KDoesn't fitWon't run—
AMD Instinct MI50 32GBQ2_KDoesn't fitWon't run—
MacBook Pro M5 Pro 48GBQ2_KDoesn't fitWon't run—
AMD RX 9070 XT 16GBQ2_KDoesn't fitWon't run—
AMD RX 7900 XT 20GBQ2_KDoesn't fitWon't run—
MacBook M4 Pro 24GBQ2_KDoesn't fitWon't run—
H100 80GB (cloud)Q2_KDoesn't fitWon't run—

Other models

Estimates for a short prompt on a single device. Measured numbers come from community benchmarks (r/LocalLLaMA, localscore.ai and more); others are derived from similar setups or projected from specs. Open source on GitHub.