LOADING DATASHEET
LOADING DATASHEET
by Alibaba
RANKED #2 OF 267 ASSISTANTS · OVERALL #2 OF 6,544 · VIBE SCORE 7.6 · 13,831 VOICES
A fast, open-weights AI model great for coding, long chats, and running on personal hardware.
1.3k mentions
291 mentions
26 weeks · 17,513 voices
QUIETLY DEGRADING
Recent vibe and chatter are both sliding.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Qwen3.8 27B once and it's yours. No subscription, no rate limits, works offline.
27.8B parameters, a Q4_K_M file is about 17 GB
Mac Mini M2 (24GB Unified Memory)
24 GB UNIFIED MEMORY
~$650 USEDQ4_K_M, ~12 tok/s, 16k context
Nvidia GeForce RTX 3090 24GB
24 GB VRAM
~$1,100 USEDQ4_K_M, ~35 tok/s, 32k context
Mac Studio M2 Ultra (128GB Unified Memory)
128 GB UNIFIED MEMORY
~$4,200 USEDBF16 unquantized, ~30 tok/s, full 262k 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 27B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMMac Mini M2 (24GB Unified Memory) | SWEET SPOTNvidia GeForce RTX 3090 24GB | FULL POWERMac Studio M2 Ultra (128GB Unified Memory) |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~42 S★★★★★ | ~14 S★★★★★ | ~17 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~2.1 MIN★★★★★ | ~43 S★★★★★ | ~50 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~11 MIN★★★★★ | ~3.8 MIN★★★★★ | ~4.4 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~35 MIN★★★★★ | ~12 MIN★★★★★ | ~14 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~21 MIN★★★★★ | ~7.1 MIN★★★★★ | ~8.3 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 27B for its fast responses, great coding help, and ability to run locally on consumer hardware. However, some complain about occasional hallucinations, strict refusals, and service limits.
4070 POSTS · 9761 COMMENTS · REDDIT · X · LEMMY · GITHUB · DEV.TO · HACKER NEWS · BLUESKY · BLOG · DEV FORUMS
1 thumbs up · 68 thumbs down
53 thumbs up · 14 thumbs down
6 thumbs up · 43 thumbs down
23 thumbs up · 9 thumbs down
13 thumbs up · 17 thumbs down
20 thumbs up · 8 thumbs down
5 thumbs up · 3 thumbs down
4 thumbs up · 0 thumbs down
“Local uncensored Opus 4.6 at home - Qwen3.8 27B heretic.”
“Reasoning can be broken for some altered qwen3.8 27bs.”
“Non-MTP but runs fast and it has been more accurate than the Qwen3.8 27B .”
“Qwen3.8 27B hallucinates user instructions during thinking.”
“@yannshi The cheapest best open source is qwen3.8 27b , can run on 24gb vram , here is some stats from my MacBook http.”
“Qwen3.8 27B is expensive than Qwen3.8 Flash and GLM5.3 Flash, is it a mistake?.”
Checked picks first: tags say why you would switch, stars say how fully each one stands in for Qwen3.8 27B.
Qwen3.8
We’re releasing new Qwen3.8-27B GGUFs with 10% higher accuracy. Unsloth Dynamic V3 outperforms others by >10% on Div-
Qwen 3.8 morning to you too Dario, 2$ input/ 6$ output per 1M.
💥 OBLITERATION ALERT 💥 ALIBABA: PWNED 🤗 QWEN-3.8-27B: OBLITERATED ⛓️💥 0.0% REFUSAL RATE across 842 harmful prompts
Artificial Analysis' Qwen3.8-27B benchmarks put it neck and neck with DeepSeek V4 and GPT-5.6 Luna Max
JUST IN: Qwen 3.8 is coming. Open weight storm from China is continuing.
Qwen3.8-27B is out now!
My honest takeaways after using Qwen3.8-27b on real world tasks for a few days: Grok-4.6 and Muse Spark-1.2 are definite
After pushing 1M+ tokens through Qwen 3.8 27B, here is my optimal llama.cpp config for 16GB VRAM (73k Context, Agentic Coding)
Quick tip: download the open models you care about from Hugging Face as soon as you can. You never know what the next fe
Local uncensored Opus 4.6 at home - Qwen3.8 27B heretic
Qwen3.8-27B and Qwen3.8-Max announced!