LOADING DATASHEET
LOADING DATASHEET
by Alibaba
RANKED #3 OF 316 ASSISTANTS · OVERALL #3 OF 493 RANKED · VIBE SCORE 7.4 · 8,180 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
A fast, budget-friendly AI for everyday writing and coding help.
508 mentions
181 mentions
26 weeks · 8,542 voices in this window
HOLDING UP
Recent vibe is steady. No clear fade in the crowd.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Qwen3.8 Flash once and it's yours. No subscription, no rate limits, works offline.
125B MoE with 6B active parameters plus 51B n-gram embeddings, a Q4 quant takes about 94 GB
Apple Mac Studio M2 Max (96GB Unified Memory)
96 GB UNIFIED MEMORY
~$2,200 USEDQ2 quant or Q3 with n-gram offloading, ~10 tok/s, 8k context
Apple Mac Studio M2 Ultra (192GB Unified Memory)
192 GB UNIFIED MEMORY
~$4,500 USEDQ4_K_M quant, ~22 tok/s, 32k context
Workstation with 4x NVIDIA GeForce RTX 3090 24GB
96 GB VRAM AND 128 GB SYSTEM RAM
~$3,800 USEDFP8 / NVFP4 quant with host embedding offloading, ~42 tok/s, 64k context
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
Everyday jobs on each of those rigs: how long Qwen3.8 Flash takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMApple Mac Studio M2 Max (96GB Unified Memory) | SWEET SPOTApple Mac Studio M2 Ultra (192GB Unified Memory) | FULL POWERWorkstation with 4x NVIDIA GeForce RTX 3090 24GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~50 S★★★★★ | ~23 S★★★★★ | ~12 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~2.5 MIN★★★★★ | ~68 S★★★★★ | ~36 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~13 MIN★★★★★ | ~6.1 MIN★★★★★ | ~3.2 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~42 MIN★★★★★ | ~19 MIN★★★★★ | ~9.9 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~25 MIN★★★★★ | ~11 MIN★★★★★ | ~6 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
Users love Qwen3.8 Flash for its quick responses, solid writing, and strong coding help at a great value. However, people are frustrated by frequent crashes, strict refusals, and occasional made-up information.
2628 POSTS · 5552 COMMENTS · GITHUB · REDDIT · HACKER NEWS · BLUESKY · LEMMY · BLOG · DEV.TO · DEV FORUMS
0 thumbs up · 22 thumbs down
2 thumbs up · 16 thumbs down
11 thumbs up · 3 thumbs down
9 thumbs up · 3 thumbs down
7 thumbs up · 3 thumbs down
2 thumbs up · 6 thumbs down
5 thumbs up · 1 thumbs down
3 thumbs up · 0 thumbs down
“Add the qwen3.8-flash ceiling arm the release gate refused v0.13.9 over.”
“Qwen 3.8 Flash Next (qwen4exp): fatal broadcastshapes crash at step 2 of any tool run — QSA indexer budget vs KV length.”
“llama-cpp: qwen3.8-flash crash-loops on load (qwen4exp warmup decode abort).”
“Prefill is ~150 t/s. The model itself is crazy smart - better than the iq4-xs quant of Qwen3.8-Flash-Next I've been running for certain - but it likes to think A LOT and with the already slow average of 9t/s decode I won't be using it for much outside of chatting even if it is the new best model on my machine.”
Checked picks first: tags say why you would switch, stars say how fully each one stands in for Qwen3.8 Flash.
Qwen3.8-Flash-Next announced
Run Qwen3.8-Flash-Next locally! 🔥
Qwen releases Qwen3.8-Flash-Next!
All Qwen3.8-Flash-Next quants are up!
Run Qwen3.8-Flash-Next GGUF 1.7x Faster!
Qwen3.8-Flash-Next now available in Unsloth!
Why not run Qwen 3.8 Flash Next with the full n-gram-table?
Qwen 3.8 Flash Next: Beating DS V4 Flash at half the parameters, stronger than Opus 4.6
Qwen3.8-Flash-Next 176B on a 16GB card: yes it works, here's how
Xolotl (Strata based) - DeepSeek-V4.1-Flash (552B) on a single 4090 at ~27 tok/s, Uncensored 1017 quant coming in a couple of days
New Unsloth Release - much faster performance + new model support
ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-Coder-GGUF updated