LOADING DATASHEET
LOADING DATASHEET
by Alibaba
RANKED #269 OF 337 ASSISTANTS · OVERALL #426 OF 528 RANKED · VIBE SCORE 5.3 · 34 VOICES
COPY BADGE pastes a README snippet with the rank SVG.
Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table
8 mentions
4 mentions
26 weeks · 29 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 VL 235B A22B once and it's yours. No subscription, no rate limits, works offline.
235B parameters (MoE with 22B active), a Q4 file is about 135 GB
Custom PC with Ryzen 9 7900X, 192 GB DDR5 RAM, and RTX 3060
192 GB RAM + 12 GB VRAM
~$1600 USEDQ3_K_M running via CPU offloading, ~3 tok/s, 8k context
Apple Mac Studio M2 Ultra with 192 GB Unified Memory
192 GB UNIFIED MEMORY
~$5500 NEWQ4_K_M unified memory execution, ~18 tok/s, 32k context
Custom Rig with 8x NVIDIA RTX 3090 24GB GPUs
192 GB VRAM
~$6500 USEDFP8 / Q8_0 quant, high throughput, 128k 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 VL 235B A22B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMCustom PC with Ryzen 9 7900X, 192 GB DDR5 RAM, and RTX 3060 | SWEET SPOTApple Mac Studio M2 Ultra with 192 GB Unified Memory | FULL POWERCustom Rig with 8x NVIDIA RTX 3090 24GB GPUs |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~2.8 MIN | ~28 S | ~12 S |
| Summarize a documenta long report boiled down to the points that matter | ~8.3 MIN★★★★★ | ~83 S★★★★★ | ~36 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~44 MIN★★★★★ | ~7.4 MIN★★★★★ | ~3.2 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~2.3 HR★★★★★ | ~23 MIN★★★★★ | ~9.9 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~83 MIN★★★★★ | ~14 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.
Not enough discussion about Qwen3 VL 235B A22B yet to call it. We found 34 posts but people did not say much either way.
30 POSTS · 4 COMMENTS · HACKER NEWS · BLUESKY · GITHUB · DEV FORUMS · REDDIT · LEMMY
Other models the crowd has fully reviewed, starting with multimodal models like this one.
Qwen3-VL — the most powerful vision-language model in the Qwen series, is now available
Qwen just released Qwen 3.5 medium model Series: Qwen 3.5 Flash plus 3 more models
I run ollamatps.com to track TPS — after my $20 Ollama Cloud Pro plan expired, I tested the free tier and ranked all 25 models by real quota cost (same request to each)
Running Oblique on Qwen qwen/qwen3-vl-235b-a22b-instruct What do you think about that @oblique.yuwakisa.com ?
Smaller qwen3.5 models released
Qwen3-VL: Sharper Vision, Deeper Thought, Broader Action
TLDR Problem this solves: - 8 Bedrock Mantle model IDs have no entry in the cost map - The proxy logs their spend as $0 and the Model Hub shows no price How it solves it: - Adds bedrock_mantle/ entries with us-east-1 standard-tier prices from the AWS Pricing…
H206(96G)怎么配置能跑Qwen3-VL-235B-A22B-Instruct
[R] Un-LOCC (Universal Lossy Optical Context Compression), Achieve Up To 3× context compression with 93.65% Accuracy.
推理Qwen3-VL-235B-A22B-Instruct-FP8精度有问题
推理Qwen3-VL-235B-A22B-Instruct-FP8时,
feat(agent): default OpenRouter model → qwen/qwen3-vl-235b-a22b-instruct