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Jundot--Qwen3.8-Flash-Next-oQ4-mtp running on a Mac Studio M2 192gb with oMLX and OpenwebUI thinks it is Claude???

I had been hearing really good things about Qwen 3.8 Flash Next. 3.8:27b hasn't been bad once I got the thinking under control, so what the hell I figured I'd try it. So earlier today (Sunday) I downloaded Jundot--Qwen3.8-Flash-Next-oQ4-mtp and fired it up in OpenwebUI. I didn't do any model prompt…

Read the full story at r/LocalLLM ↗

Timeline · 10 reports

  1. 2026-10-21 21:29 · r/LocalLLM
    5 desktop agent apps on a local Qwen 3.8 27B (M5 MacBook Pro): my notes
  2. 2026-10-21 18:11 · r/artificial
    Locality of reference helped 94GB Qwen3.8-Flash-Next runs at 68 tok/s on one RTX 5090
  3. 2026-10-21 18:11 · r/ArtificialInteligence
    Locality of reference helped 94GB Qwen3.8-Flash-Next runs at 68 tok/s on one RTX 5090
  4. 2026-10-21 09:41 · r/LocalLLaMA
    Qwen3.8-Flash-Next vs Opus 5.5: Six-way benchmark on a real Rust feature with Claude Code and Pi
  5. 2026-10-21 04:49 · r/LocalLLM
    KFlash: Benchmarks of newly released versions of Apple Silicon optimized engines: 1.4.0 Splash (DFlash2 ~ 50 tok/s) vs 0.2 Kapitsa (KFlash ~65 tok/s), MLX(MTP) & more on Qwen 3.8 27b/4b/35b 4Q on Macbook Pro M4 Pro 48 GB 2024, 48GB & Macbook Pro M1 Pro 16GB 2021
  6. 2026-10-21 04:47 · r/LocalLLaMA
    KFlash: Benchmarks of newly released versions of Apple Silicon optimized engines: 1.4.0 Splash (DFlash2 ~ 50 tok/s) vs 0.2 Kapitsa (KFlash ~65 tok/s), MLX(MTP) & more on Qwen 3.8 27b/4b/35b 4Q on Macbook Pro M4 Pro 48 GB 2024, 48GB & Macbook Pro M1 Pro 16GB 2021
  7. 2026-10-20 14:40 · r/LocalLLaMA
    Qwen3.8-Flash-Next vs Opus 5.5: Six-way benchmark on a real Rust feature with Claude Code and Pi
  8. 2026-10-19 08:43 · r/LocalLLM
    Qwen 35B does 154 tok/s on 2024 Macbook M4 Pro 48GB with Kapitsa: Open-source Apple Silicon optimized custom Metal engine built for Qwen. See benchmarks of Qwen 3.8 27B, Qwen3.6 35B, 3.8 Flash-Next on M1 Pro (16GB), M4 Pro (48GB) and M5 Max (128GB)
  9. 2026-10-19 07:04 · r/LocalLLaMA
    Kapitsa: open-source Apple Silicon optimized Metal engine built for Qwen and Nemotron. See benchmarks of Qwen 27B, Nemotron + 8 other models on an M1 Pro (16GB), M4 Pro (48GB) and M5 Max (128GB)
  10. 2026-10-19 05:52 · r/LocalLLM
    Jundot--Qwen3.8-Flash-Next-oQ4-mtp running on a Mac Studio M2 192gb with oMLX and OpenwebUI thinks it is Claude???

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  2. How to squeeze the Max Token from M1 Max 64gb? — r/LocalLLaMA
  3. Is Qwen a good option for broke devs? — r/AI_Agents
  4. Installing qwen model on my smartphone — r/LocalLLM
  5. Eagle-4 Released: Faster than DFlash2 & DSpark — r/LocalLLaMA
  6. I spent a couple of days benchmarking local Qwen models against Claude Opus 4.6 — here are the results — r/LocalLLM
  7. I downloaded a local 9B model. It insists it’s Claude and thinks I’m trying to jailbreak it by showing it my GPU. 💀 — r/LocalLLM
  8. 12GB VRAM + 16GB RAM is enough for very smart local AI with 120K+ context — r/LocalLLM

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