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Qwen3.8-Flash-Next Benchmarks Show Engine and Hardware Performance Gaps

This story is from 2026-08-27. It is preserved in the archive; the latest stories are on the live feed.

Community benchmarks of Qwen3.8-Flash-Next show llama.cpp builds vary in speed, vLLM is ~4x faster at long context, and 2x DGX Spark hits 181 tok/s aggregate at 512K context.

Read the full story at r/LocalLLM ↗

Timeline · 5 reports

  1. 2026-08-29 14:47 · r/LocalLLM
    Qwen3.8-Flash-Next IQ1_S on a single 5070 (12GB VRAM)
  2. 2026-08-29 08:25 · r/LocalLLM
    Qwen3.8-Flash-Next (qwen4exp): llama.cpp isn't ready for agentic work, vLLM is ~4x faster at long context (RTX PRO 6000, full numbers)
  3. 2026-08-28 22:00 · r/LocalLLaMA
    Today I hit 181 toks/s (aggregate) on Qwen3.8-Flash-Next on 2x DGX Sparks
  4. 2026-08-28 10:55 · r/LocalLLaMA
    Qwen3.8-Flash-Next (UD-IQ4_XS) on 2x RTX 3060 + 7800X3D, from initial 36 tps prefill to 400 tps and other benchmarks (-sm tensor trap) + VRAM/RAM usage
  5. 2026-08-27 20:56 · r/LocalLLM
    Qwen3.8-Flash-Next on 2x RTX 3090s, 33-43 tok/s

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