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Users report Qwen 3.8 Flash Next performance on local hardware

Community discussions highlight Qwen 3.8 Flash Next's effectiveness for coding and general tasks on local setups. Users share benchmarks and configurations for running the model on consumer GPUs with high context lengths.

Read the full story at r/LocalLLaMA ↗

Timeline · 5 reports

  1. 2026-10-13 04:04 · r/LocalLLM
    When to use qwen 3.8 flash next 4 bit vs 27b 6 bit
  2. 2026-10-12 23:18 · r/LocalLLaMA
    Qwen 3.8 Flash Next Q3 S - Benchmark creation
  3. 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.
  4. 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?
  5. 2026-10-10 19:21 · r/LocalLLaMA
    Benefits of using bigger models than Qwen 3.8 flash next?

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  1. Hacking OpenAI or Anthropic — r/LocalLLM
  2. Qwen3.8-27B on a single 3090: 140 tok/s on code with a custom megakernel — r/LocalLLaMA
  3. Meta Releases Muse Wonder AI Models to Compete with Rivals — Meta Newsroom
  4. Meta Unveils New Advanced AI Models to Rival Anthropic and OpenAI — New York Times AI
  5. Qwen Image 2.1 Turbo and MiniMax H3 Gain Community Support — r/StableDiffusion
  6. Local Embedding Models in 2026: Which to Run, What Hardware They Need, and What They Cost — DEV Community — Machine Learning
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  8. Do any local models come close to chatgpts ability to generate sample character images? (2nd image is original) — r/StableDiffusion

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