Qwen3.8-Flash-Next Open Weights Model Draws Early Community Benchmarks
This story is from 2026-08-26. It is preserved in the archive; the latest stories are on the live feed.
Qwen released Qwen3.8-Flash-Next, a 125B-token multimodal MoE with 6B active parameters, previewing Qwen4 architecture. Community tests show llama.cpp support merged, with varying speeds and VRAM usage across hardware, while vLLM is reportedly faster at long context.
Read the full story at r/LocalLLM ↗
Timeline · 9 reports
- 2026-08-29 14:47 · r/LocalLLM
Qwen3.8-Flash-Next IQ1_S on a single 5070 (12GB VRAM) - 2026-08-29 13:32 · r/LocalLLM
Honey, i shrunk Qwen3. 8-Flash-Next - 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) - 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 - 2026-08-28 02:25 · r/LocalLLM
Running Qwen3.8-Flash-Next at Full 262K Context on a 128GB MacBook - 2026-08-27 19:34 · r/LocalLLaMA
llama.cpp support for Qwen3.8-Flash-Next has been merged - 2026-08-27 12:34 · r/LocalLLaMA
Qwen3.8-Flash-Next: Time to Update Those Benchmarks - 2026-08-26 23:52 · Simon Willison's Weblog
Qwen3.8-Flash-Next - 2026-08-26 21:11 · r/LocalLLM
Qwen3.8 flash next on 4x v100s