LOADING DATASHEET
LOADING DATASHEET
by Alibaba
RANKED #166 OF 316 ASSISTANTS · OVERALL #227 OF 493 RANKED · VIBE SCORE 6.4 · 388 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
29 mentions
29 mentions
26 weeks · 331 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 32B once and it's yours. No subscription, no rate limits, works offline.
32B parameters, a Q4_K_M GGUF file is about 19.5 GB to 20 GB
Nvidia GeForce RTX 3060 12GB plus 32GB System RAM (CPU/GPU h
12 GB VRAM + 32 GB RAM
~$200 USEDQ4_K_M with partial GPU offload and short context
Nvidia GeForce RTX 3090 24GB
24 GB VRAM
~$700 USEDQ4_K_M fully in VRAM with 8k-16k context
Apple Mac Studio M2 Ultra (128GB Unified Memory)
128 GB UNIFIED MEMORY
~$3500 USEDQ8_0 or full precision with full 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 32B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNvidia GeForce RTX 3060 12GB plus 32GB System RAM (CPU/GPU h | SWEET SPOTNvidia GeForce RTX 3090 24GB | FULL POWERApple Mac Studio M2 Ultra (128GB Unified Memory) |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~1.7 MIN★★★★★ | ~18 S★★★★★ | ~14 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~5 MIN★★★★★ | ~54 S★★★★★ | ~43 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~27 MIN★★★★★ | ~4.8 MIN★★★★★ | ~3.8 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~83 MIN★★★★★ | ~15 MIN★★★★★ | ~12 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~50 MIN★★★★★ | ~8.9 MIN★★★★★ | ~7.1 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.
People are mostly frustrated with Qwen3 32B right now.
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Checked picks first: tags say why you would switch, stars say how fully each one stands in for Qwen3 32B.
Based on an accelerating frontier -> local trajectory, expect a ~30b param 'Mythos at home' by as soon as Jan 2027 (rationalisation below)
Alibaba QwQ-32B : Outperforms o1-mini, o1-preview on reasoning
7 months of Qwen in production enterprise: what actually works (and what doesn't)
Best models under 16GB
QwQ-32b outperforms Llama-4 by a lot!
Qwen3-32B Settings for RP
Fearless Concurrency on the GPU: Safe GPU inference in Rust, competitive with vLLM/SGLang [R]
LiveBench: DeepSeek R1 vs DeepSeek V3 0324 vs QWQ 32B
What are your LocalLLaMA "hot takes"?
My key takeaways on Qwen3-Next's four pillar innovations, highlighting its Hybrid Attention design
Qwen3 30B A3B 2507 series personal experience + Qwen Code doesn't work?
Qwen3.5 27b (dense) came out today. What do you think, will it be a Gemma3 27b killer? Lots of fine-tune potential for creative writing fine-tunes? Or will it be mostly irrelevant in this niche the way Qwen3 32b (dense) didn't amount to much for…