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Qwen3.8 Flash-Next enables high-context local inference on consumer hardware

Users report running Qwen3.8 Flash-Next on consumer GPUs like the RTX 3060 and 5090, achieving 20-137 tokens per second and context windows up to 700k using quantization and specialized inference engines.

Read the full story at r/LocalLLM ↗

Timeline · 11 reports

  1. 2026-10-11 21:44 · r/LocalLLaMA
    I ran Qwen 3.8 Flash-Next on my AMD 7900 XTX at 500k context. All local and what a shift it has been.
  2. 2026-10-11 11:12 · r/LocalLLM
    RTX 5090 32GB + 64GB RAM — Qwen3.8 Flash-Next IQ3_XXS Running at 700K Context Without a Single Session Compaction
  3. 2026-10-11 08:23 · r/LocalLLaMA
    What setup do you use, which harness? and how do you customize it to run qwen 3.8 flash next swift with a high context length and a reasonable amount of tok/sec?
  4. 2026-10-11 02:20 · r/LocalLLM
    Qwen3.8-Flash-Next on an RTX 5090: 128GB RAM: IQ3_XXS vs IQ3_S vs UD-IQ4_XS — Speed and Accuracy with Strata
  5. 2026-10-10 19:21 · r/LocalLLaMA
    Benefits of using bigger models than Qwen 3.8 flash next?
  6. 2026-10-10 00:14 · r/LocalLLaMA
    Qwen Flash Next @ 137 tok/s & 3,497 tok/s Prefill w/ 512k context on a 5090, 192gb ram, Windows Build, comparing Strata and Infernix
  7. 2026-10-09 18:41 · r/LocalLLaMA
    Qwen 3.8 Flash Next-GSQ-RCO-IQ2_XS at ~21 tok/s on just an RTX 3060 12GB + 16GB DDR4 RAM(No gate pruning, 100% bit-exact)
  8. 2026-10-09 14:34 · r/LocalLLaMA
    Qwen3.8-Flash-Next-GSQ-RCO (IQ3_S): ~20-30 tok/sec decode & 300-90k tok/sec prefill on 12GB VRAM + 32GB RAM + NVME
  9. 2026-10-09 12:05 · r/LocalLLaMA
    rtx 4090 + huawei atlas duo for qwen flash next ?
  10. 2026-10-09 09:51 · r/LocalLLM
    Qwen3.8: Flash Next iq3 xxs is dumber than 27B iq3 xxs?
  11. 2026-10-09 07:05 · r/LocalLLM
    Daily Driving Qwen 3.8 Flash-Next MoE (NVFP4) on RTX 5090 + 128GB RAM — Telemetry & Impressions

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