Qwen3.8-Flash-Next agentic loops on Strix Halo
I'm trying to use Qwen3.8-Flash-Next as a long-running coding worker on a Ryzen AI Max+ 395 / 128GB box and I keep hitting the same issue: after a while it ...
See what people dislike, compare, and like about Qwen3.8-Flash-Next in recent Reddit and X reviews, with original posts one click away.
Updated Sep 25, 2026, 8:32 AM
What people dislike, compare, and like.
Frustration, gaps, and unmet needs.
I'm trying to use Qwen3.8-Flash-Next as a long-running coding worker on a Ryzen AI Max+ 395 / 128GB box and I keep hitting the same issue: after a while it ...
I'm trying to use Qwen3.8-Flash-Next as a long-running coding worker on a Ryzen AI Max+ 395 / 128GB box and I keep hitting the same issue: after a while it ...
Qwen 3.8 Flash Next FP8. This is a beast of a model, but frustrating to set up. Note: this was run on Ubuntu 26.04 LTS, gives the full 96 GB usable).
Qwen3.8-Flash-Next-exl3-3.05bpw (50k tokens). No unsafe actions were taken or are needed — this is a pure number-theory problem; everything so far was read ...
Switches, rivals, and “what else should I use?” threads.
If you can fit everything into VRAM, v LLM/SGlang are better. If you can't, llama is better. Those will run much better on your hardware. should be possible to ...
Qwen3.8-Flash-Next across SGLang, SVG drawing, video editing and animated design. single-turn tool accuracy was 85.2%, versus 49.5% across the multi-turn cases ...
Flash Next variant is ~5x better at long horizen (8hr long) tasks. You can definitely run next Flash there, you just need to offload ngram to SSD. -Flash-Next ...
Qwen3.8-Flash-Next turns 4x R9700 into a local AI powerhouse! 120 t/s TG and 12k t/s PP single request with optimized v LLM. ; Qwen3.8- ...
Praise, wins, and positive experience.
I think a M5U with 96 GB Ram would be great platform for a local model like a Qwen3.8-Flash-Next with a Q4. The ngrams stay on disk. i do think this would ...
Qwen3.8-Flash-Next drops tomorrow: 125B Mo E + 51B N-gram lookup tables, 6B active. Qwen3.8 Flash Next is the best model I tested for 128Gb
Newest public reviews first. Open any one to read the original.
How these reviews break down by platform and intent.
It shows recent public Reddit and X reviews of Qwen3.8-Flash-Next — complaints, comparisons, and praise — so you can see what people are saying without searching each platform yourself.
Start in Overview, under Pain & complaints. Those are recent public reviews where people are frustrated with Qwen3.8-Flash-Next. Each card links to the original thread.
Public Reddit and X reviews that mention the topic — questions, complaints, praise, and comparisons. Open any card to read the original thread.
Qwen3.8-Flash-Next appeared on Hugging Face trending (tracked from Hugging Face model/Qwen/Qwen3.8-Flash-Next). This page tracks how that model or Space shows up in public Reddit and X reviews — not downloads on the Hub itself.
This page currently shows 481 recent reviews. That usually means Qwen3.8-Flash-Next is actively discussed — start with Overview for the short version, then scroll the full list.
Get a private Reddit and X inbox for your own keywords. Free setup scan. No credit card.