Qwen3.8-Flash-Next outperforms Laguna-S-2.1 GGUF on a Mac Studio M5 Ultra 256GB in a same-day, same-harness shootout, with 262K context and no cached tokens used.
Read the original at www.reddit.com→Spent today running a same-day, same-harness shootout between Qwen3.8-Flash-Next (oMLX, 182GB oQ8e, MTP) and Laguna-S-2.1 GGUF (LM Studio, 128GB, 8bit) on a Mac Studio M5 Ultra 256GB. Both capped at 262K context,...
Original headline: "M5 Ultra - Qwen3.8 Flash Next vs Laguna S 2.1"
Coverage timeline
- Sep 30, 21:09 UTC r/LocalLLaMA lead source M5 Ultra - Qwen3.8 Flash Next vs Laguna S 2.1
- Oct 1, 20:21 UTC r/LocalLLaMA Running 95.5 GiB Qwen3.8-Flash-Next at 41–52 tok/s on a 64GB Mac (1.76x faster than llama.cpp): Slipstream release, 130k context scaling, + Swift variant
- Oct 2, 21:47 UTC r/LocalLLaMA I spent 3 weeks testing local Qwen3.8 on the new low-latency SGLang/vLLM recipes: DFlash2 2.8x. Builds: RadixArk + Inferact 27B NVFP4, 27B BF16, orcarouter 27B Uncensored, Flash-Next NVFP4