LOADING DATASHEET
GROUNDED IN REAL HUMAN CONVERSATIONSYOUR BENCH
qwen3.5 2B
◆ OPEN
by Alibaba
OPEN WEIGHTSLOCALAPICLOSEDREASONING
RANKED #145 OF 233 ASSISTANTS · OVERALL #234 OF 6,536 · VIBE SCORE 5.7 · 35 VOICES
Qwen3.5-2B is a compact yet capable model from Alibaba's Qwen3.5 series. It features a 262K token context window, support for 201 languages, thinking/reasoning mode, and tool calling for agentic workflows. A strong choice for prototyping, f
HAPPY10.0
4 mentions
SAD-
0 mentions
VIBE TRAJECTORY
26 weeks · 58 voices
QUIETLY DEGRADING
Recent vibe and chatter are both sliding.
HOW TO USE IT
Open weights. You can use a hosted service, or download it and run it yourself, free.
RUN IT ON YOUR OWN MACHINE
Open weights: download qwen3.5 2B once and it's yours. No subscription, no rate limits, works offline.
2B parameters, a Q4 file is about 1.8 GB, full FP16 is about 4.5 GB
- BARE MINIMUM
Mini PC with Intel N100 or AMD Ryzen 5 CPU
8 GB RAM
~$130 NEWQ4 quantization on CPU, ~15 tok/s, 8k context
- SWEET SPOT
NVIDIA GeForce GTX 1650 4GB
4 GB VRAM
~$75 USEDQ4 or Q8 quantization fully offloaded to GPU, ~65 tok/s, 32k context
- FULL POWER
NVIDIA GeForce RTX 3060 12GB
12 GB VRAM
~$260 USEDFull FP16 precision, native 262k long context, ~120 tok/s
LEARN HOW TO SET IT UP
WILL MY BOX RUN QWEN3.5 2B?
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.
WHAT CAN YOU ACTUALLY DO WITH IT?
Everyday jobs on each of those rigs: how long qwen3.5 2B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMMini PC with Intel N100 or AMD Ryzen 5 CPU | SWEET SPOTNVIDIA GeForce GTX 1650 4GB | FULL POWERNVIDIA GeForce RTX 3060 12GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~33 S | ~8 S | ~4 S |
| Summarize a documenta long report boiled down to the points that matter | ~1.7 MIN★★★★★ | ~23 S★★★★★ | ~13 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~8.9 MIN★★★★★ | ~2.1 MIN★★★★★ | ~67 S★★★★★ |
| Build a backendan API with routes, storage and tests | ~28 MIN★★★★★ | ~6.4 MIN★★★★★ | ~3.5 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~17 MIN★★★★★ | ~3.8 MIN★★★★★ | ~2.1 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.
WHAT THE INTERNET SAYS
Not enough discussion about qwen3.5 2B yet to call it. We found 35 posts but people did not say much either way.
28 POSTS · 7 COMMENTS · REDDIT · LEMMY · GITHUB
PEOPLE LOVE
- No fan mail yet. The crowd is still warming up.
PEOPLE COMPLAIN ABOUT
- No complaints yet. The internet is still looking for one. Suspicious.
LOOKING FOR AN ALTERNATIVE?
Other models the crowd has fully reviewed, starting with multimodal models like this one.
Grok 4.6
Gemini 3.7 Flash> SOURCES (12)
- REDDIT · 2026-07-07 · 29 UPVOTESI gave Qwen3.5-2B control of a website and a local AI video generator...
I gave Qwen3.5-2B control of a website and a local AI video generator...
- REDDIT · 2026-04-08 · 24 UPVOTESGemma 4 E2B and Qwen 3.5 2B on a Raspberry Pi 5 with Ollama — here's what each one is actually good for
Gemma 4 E2B and Qwen 3.5 2B on a Raspberry Pi 5 with Ollama — here's what each one is actually good for
- LEMMY · 2026-08-26 · 9 UPVOTESGRM-3.2-Turf 1B
GRM-3.2-Turf 1B
- LEMMY · 2026-05-29 · 8 UPVOTESInfinity-Parser2 - Multimodal Document Parser
Infinity-Parser2 - Multimodal Document Parser
- REDDIT · 2026-03-23 · 3 UPVOTESComment in r/ollama
Comment in r/ollama
- LEMMY · 2026-05-31 · 3 UPVOTESAnother reason to self host your own AI
Another reason to self host your own AI
- REDDIT · 2026-07-24 · 2 UPVOTESNeed recommendations for small models with excellent reasoning. Professionals opinions preferred, this is for a data pipeline not chat.
Need recommendations for small models with excellent reasoning. Professionals opinions preferred, this is for a data pipeline not chat.
- GITHUB · 2026-08-29 · 2 UPVOTES[Bugfix][GDN] Run Qwen GDN cores as eager breaks in breakable CUDA gr…
[Bugfix][GDN] Run Qwen GDN cores as eager breaks in breakable CUDA gr…
- LEMMY · 2026-05-23 · 2 UPVOTESYour best local LLM for low-VRAM (6GB)?
Your best local LLM for low-VRAM (6GB)?
- GITHUB · 2026-08-19 · 1 UPVOTESfix(studio): read the MLX reasoning prefill mode from the rendered generation prompt
fix(studio): read the MLX reasoning prefill mode from the rendered generation prompt
- GITHUB · 2026-08-24 · 1 UPVOTES[Refactor][Worker] Retire DeepSeek and Mamba utility patches
[Refactor][Worker] Retire DeepSeek and Mamba utility patches
- GITHUB · 2026-08-16 · 0 UPVOTESAdd Gemma 4 and Qwen 3.5 main OCN experiment
Add Gemma 4 and Qwen 3.5 main OCN experiment