Qwen3.8 125B (6B active) Flash-Next
on NVIDIA RTX 5090 · Strata · 4,096 ctx
Oct 16, 2026
Use cases
codingmath
Summary
User compares Qwen3.8-Flash-Next NVFP4 GPTQ against Unsloth UD-Q4_K_XL on an RTX 5090 32GB with 128GB DDR5-6000 RAM and an Intel Core Ultra 7 270K Plus, running native Strata inference on Windows.
Setup is Strata 0.1.42-nvfp4.2 with 128K context capacity, INT8 KV cache, MTP 6, 15 CPU workers and a 1600MiB VRAM reserve. NVFP4 reached 162.9 t/s at 4K, 161.3 t/s at 32K and 154.1 t/s at 128K; Unsloth UD-Q4_K_XL reached 130.5, 131.0 and 127.6 t/s respectively. Time to first visible answer was 1.42/3.90/14.90 seconds for NVFP4 and 1.99/5.24/20.41 seconds for Unsloth.
Each figure is the median of three runs on identical synthetic code-review prompts with 256 output tokens, temperature 0 and reasoning disabled. NVFP4 figures come from its best complete session of four, which the user notes favours NVFP4. In quality testing Unsloth passed 73/82 selected tasks versus NVFP4's 70/82, mainly through instruction following; maths and coding tied.