LOADING DATASHEET
LOADING DATASHEET
by Alibaba
RANKED #189 OF 316 ASSISTANTS · OVERALL #278 OF 493 RANKED · VIBE SCORE 6.0 · 117 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...
7 mentions
9 mentions
26 weeks · 102 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 Qwen3.5 397B A17B once and it's yours. No subscription, no rate limits, works offline.
397B total parameters (17B active MoE), a Q4 quantization requires about 240 GB to 260 GB of memory
Custom PC with AMD Ryzen 9 7900X, 256 GB DDR5 RAM, and RTX 3
256 GB RAM + 12 GB VRAM
~$1,700 USEDQ2_K CPU RAM offload, ~2 tok/s, 8k context
Apple Mac Studio M2 Ultra (192 GB) paired with secondary Mac
192 GB UNIFIED MEMORY
~$6,500 USEDQ3_K_M unified memory, ~12 tok/s, 32k context
Workstation with 8x NVIDIA RTX 3090 24GB
192 GB VRAM
~$7,200 USEDQ4_K_M or INT4 AutoRound fully GPU-accelerated, ~28 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 Qwen3.5 397B A17B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMCustom PC with AMD Ryzen 9 7900X, 256 GB DDR5 RAM, and RTX 3 | SWEET SPOTApple Mac Studio M2 Ultra (192 GB) paired with secondary Mac | FULL POWERWorkstation with 8x NVIDIA RTX 3090 24GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~4.2 MIN | ~42 S | ~18 S |
| Summarize a documenta long report boiled down to the points that matter | ~13 MIN★★★★★ | ~2.1 MIN★★★★★ | ~54 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~67 MIN★★★★★ | ~11 MIN★★★★★ | ~4.8 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~3.5 HR★★★★★ | ~35 MIN★★★★★ | ~15 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~2.1 HR★★★★★ | ~21 MIN★★★★★ | ~8.9 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.
Not enough discussion about Qwen3.5 397B A17B yet to call it. We found 117 posts but people did not say much either way.
105 POSTS · 12 COMMENTS · X · GITHUB · REDDIT · DEV FORUMS · BLUESKY · HACKER NEWS · LEMMY · DEV.TO
Other models the crowd has fully reviewed, starting with multimodal models like this one.
Qwen3.6-27B is out now!
Qwen3.5 is out now!
Qwen 3.5
All Qwen3.5-397B-A17B GGUFs are up!
Qwen3.5 GGUF Evaluation Results
Qwen3.5-397B-A17B: First open-weight model in Qwen3.5 series released with benchmarks
New LLM Debate Benchmark: models debate the same motion twice with sides swapped in 10 turns. A wide variety of controversial and relevant topics. Sonnet 4.6 (high) wins. GLM-5 is the open weights leader.
All Qwen model oneshots: 1109 outputs to look at and compare!
Sonnet 4.6 scores on the Extended NYT Connections benchmark
Professional-grade local AI on consumer hardware — 80B stable on 44GB mixed VRAM (RTX 5060 Ti ×2 + RTX 3060) for under €800 total. Full compatibility matrix included.
When are we gonna get more 1-Bit models(Medium & Large size)?
Qwen3.5 - 397B-A17B released - open weights and available on OpenRouter