Qwen 3.8 Flash-Next is a 180B-parameter mixture-of-experts model (6B active per token). At Q4_K_M it needs about 120.3 GB of memory. The H200 141GB (cloud) has 131 GB usable, so it fits entirely in memory. Expect about 525 tokens/sec (252–797), with the first token after 0.3 s for a short prompt. This estimate is interpolated from benchmarks of similar setups.
| Quantization | File size | Memory | Generation | First token | Source |
|---|---|---|---|---|---|
| Q2_K | 80.9 GB | Fits | 775 tok/s | 0.3 s | Derived |
| GSQ-RCO-IQ3_S | 83.6 GB | Fits | 751 tok/s | 0.3 s | Derived |
| Q3_K_M | 92.0 GB | Fits | 682 tok/s | 0.3 s | Derived |
| IQ4_XS | 97.7 GB | Fits | 643 tok/s | 0.3 s | Derived |
| UD-Q4_K_XL | 111.3 GB | Fits | 564 tok/s | 0.3 s | Derived |
| Q4_K_M | 119.6 GB | Fits | 525 tok/s | 0.3 s | Derived |
| Q8_0 | 188.3 GB | Doesn't fit | Won't run | — | — |
| FP16 | 354.0 GB | Doesn't fit | Won't run | — | — |
All models on the H200 141GB (cloud) · Qwen 3.8 Flash-Next on all hardware
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.