Q4 flash next for Β£300/600 π - snapdragon mini PC results update - 315/43 Tok/s A3b, 46/20 Tok/s Flash Next (read/gen) π₯
I ported it to ARM and contributed the work back as PRs (NEON kernels, a Windows on ARM build, and a cache bug fix Maurizio has since shipped in his own release).

Proof1 community thread
Key points
- Quick recap of how I got here: I started on llama.cpp, then pretty quickly moved over to Janas (github.com/prabanta-dev/janas).
- It's not released, YET, but it's what I used to produce the numbers below.
- Lenovo IdeaCentre Mini: Snapdragon X X1-26-100 (8 Oryon cores, Hexagon NPU; the Adreno GPU isn't used), 32 GB LPDDR5, the stock 512 GB NVMe (the models stream from it), Windows 11.
- Qwen3.8 Flash Next UD-Q4KXL: unsloth Qwen3.8-Flash-Next-UD-Q4KXL (104 GB).
Sources (1)
- [1]Q4 flash next for Β£300/600 π - snapdragon mini PC results update - 315/43 Tok/s A3b, 46/20 Tok/s Flash Next (read/gen) π₯r/LocalLLaMA (top, daily) Β· Oct 22, 03:58 PM
I ported it to ARM and contributed the work back as PRs (NEON kernels, a Windows on ARM build, and a cache bug fix Maurizio has since shipped in his own release).
Quick recap of how I got here: I started on llama.cpp, then pretty quickly moved over to Janas (github.com/prabanta-dev/janas).
Extractive summary: sentences quoted from the sources.
Before this
- Oct 21, 2026Recursive shows first result of its AI-driven research process with Flint
- Oct 21, 2026Granite Speech 5.0: Transcribe, Translate, and Attribute more Accurately and Faster
- Oct 20, 2026Gradium Open-Sources Phonon, a 31M-Parameter On-Device TTS Model Under Apache 2.0
- Oct 20, 2026[AINews] DeepSeek DeepInfer: Open Source SOTA Inference running 155T toks/day/cluster making $22m/day at ~80% margin for a 81 day payback
- Oct 20, 2026Do Diffusion LLMs Scale? Testing Mercury 3 + Decide
- Oct 20, 2026MPS in PyTorch 2.15
