LOADING DATASHEET
LOADING DATASHEET
by Alibaba
RANKED #41 OF 271 ASSISTANTS · OVERALL #69 OF 6,567 · VIBE SCORE 6.6 · 720 VOICES
A capable, open model from Alibaba built for everyday text, vision, and coding tasks.
144 mentions
52 mentions
26 weeks · 1,007 voices
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 Qwen3.6 27B once and it's yours. No subscription, no rate limits, works offline.
27B parameters, a Q4_K_M file is about 16.8 GB
NVIDIA GeForce RTX 4060 Ti 16GB
16 GB VRAM
~$450 NEWIQ3_XXS or Q3_K_M, ~20 tok/s, 8k context
NVIDIA GeForce RTX 3090 24GB (used)
24 GB VRAM
~$750 USEDQ4_K_M, ~25 tok/s, 32k context
Apple MacBook Pro M4 Max (128GB)
128 GB UNIFIED MEMORY
~$4200 REFURBISHEDQ8_0 or BF16, ~15 tok/s, 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 Qwen3.6 27B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNVIDIA GeForce RTX 4060 Ti 16GB | SWEET SPOTNVIDIA GeForce RTX 3090 24GB (used) | FULL POWERApple MacBook Pro M4 Max (128GB) |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~25 S★★★★★ | ~20 S★★★★★ | ~33 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~75 S★★★★★ | ~60 S★★★★★ | ~1.7 MIN★★★★★ |
| Build a websitea small landing page, markup and styles together | ~6.7 MIN★★★★★ | ~5.3 MIN★★★★★ | ~8.9 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~21 MIN★★★★★ | ~17 MIN★★★★★ | ~28 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~13 MIN★★★★★ | ~10 MIN★★★★★ | ~17 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.
Community feedback for Qwen3.6 27B is currently limited with no clear consensus recorded yet. Early discussions suggest it is being explored as an open-weight option for local setups.
512 POSTS · 208 COMMENTS · REDDIT · HACKER NEWS · GITHUB · LEMMY · DEV FORUMS · BLUESKY · X · DEV.TO
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Checked picks first: tags say why you would switch, stars say how fully each one stands in for Qwen3.6 27B.
GPT-5, the world best model just 1 year ago, is today inferior to Qwen3.6 27B and most today’s low-tier models
Qwen3.8-27B is out now!
Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model
2.5x faster Qwen3.6 NVFP4 Unsloth quants
Bonsai 27B runs locally on an iPhone - a 27B model in 3.9GB
Qwen3.6-27B is out now!
Newer commits removed the Qwen 35B
New 2.5x Faster Qwen3.6 NVFP4 Unsloth quants
Based on an accelerating frontier -> local trajectory, expect a ~30b param 'Mythos at home' by as soon as Jan 2027 (rationalisation below)
Run Qwen3.6 MTP GGUFs locally!
I keep coming back to Qwen... Over and Over. Is there really nothing better under 120B?
Are you guys not scared of where we're heading? A year ago, GPT-5 was considered one of the best models in the world. Today, we have open-weight models like Qwen3.6-27B that are competitive enough to run locally on high-end consumer hardware. The pace of…