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Qwen3.5 4B
◆ OPEN
by Alibaba
OPEN WEIGHTSLOCALAPIREASONING
RANKED #38 OF 316 ASSISTANTS · OVERALL #55 OF 493 RANKED · VIBE SCORE 6.5 · 750 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
Qwen3.5 4B is a compact open-weight multimodal model from Alibaba for reasoning, coding, visual understanding, tool use, and structured output.
HAPPY9.4
69 mentions
SAD5.6
62 mentions
VIBE TRAJECTORY
26 weeks · 876 voices in this window
HOLDING UP
Recent vibe is steady. No clear fade in the crowd.
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 4B once and it's yours. No subscription, no rate limits, works offline.
4B parameters, a Q4 file is about 2.7 GB and full BF16 is around 8.5 GB
- BARE MINIMUM
Nvidia GTX 1660 Super
6 GB VRAM
~$110 USEDQ4_K_M, ~35 tok/s, 8k context
- SWEET SPOT
Nvidia RTX 4060
8 GB VRAM
~$299 NEWQ8_0 or full BF16, ~75 tok/s, 32k context
- FULL POWER
Nvidia RTX 4070 Super
12 GB VRAM
~$590 NEWBF16 unquantized, ~110 tok/s, full extended context
LEARN HOW TO SET IT UP
WILL MY BOX RUN QWEN3.5 4B?
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 4B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNvidia GTX 1660 Super | SWEET SPOTNvidia RTX 4060 | FULL POWERNvidia RTX 4070 Super |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~14 S★★★★★ | ~7 S★★★★★ | ~5 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~43 S★★★★★ | ~20 S★★★★★ | ~14 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~3.8 MIN★★★★★ | ~1.8 MIN★★★★★ | ~73 S★★★★★ |
| Build a backendan API with routes, storage and tests | ~12 MIN★★★★★ | ~5.6 MIN★★★★★ | ~3.8 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~7.1 MIN★★★★★ | ~3.3 MIN★★★★★ | ~2.3 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
The internet is split on Qwen3.5 4B. Biggest praise: speed. Biggest gripe: saying no too much.
680 POSTS · 70 COMMENTS · REDDIT · HACKER NEWS · GITHUB · BLUESKY · X · LEMMY · DEV.TO · DEV FORUMS · BLOG
PEOPLE LOVE
- Answers come back fast (9 mentions)
- Good at writing and wording things (3 mentions)
PEOPLE COMPLAIN ABOUT
- Coding help disappoints some people (8 mentions)
- Refuses or lectures more than people like (7 mentions)
- Outages, errors, or limits get in the way (6 mentions)
- Sometimes makes things up (4 mentions)
TOPIC BY TOPIC
- Help with codeMIXED FEELINGS
7 thumbs up · 8 thumbs down
- SpeedPEOPLE LOVE THIS
9 thumbs up · 0 thumbs down
- Saying no too muchA SORE SPOT
0 thumbs up · 7 thumbs down
- Working when you need itA SORE SPOT
1 thumbs up · 6 thumbs down
- Getting facts rightA SORE SPOT
2 thumbs up · 4 thumbs down
- WritingPEOPLE LOVE THIS
3 thumbs up · 0 thumbs down
LOOKING FOR AN ALTERNATIVE?
Checked picks first: tags say why you would switch, stars say how fully each one stands in for Qwen3.5 4B.
Gemini 3.7 Flash
GLM 5.3 Flash
Grok 4.6> SOURCES (12)
- REDDIT · 2026-03-03 · 302 UPVOTESYou can now Fine-tune Qwen3.5 locally! (5GB VRAM)
You can now Fine-tune Qwen3.5 locally! (5GB VRAM)
- REDDIT · 2026-03-19 · 289 UPVOTESQwen3.5-4B is very powerful. It executes tool calls during thinking.
Qwen3.5-4B is very powerful. It executes tool calls during thinking.
- REDDIT · 2026-10-09 · 287 UPVOTESTrain your own Decision model with our free notebook!
Train your own Decision model with our free notebook!
- REDDIT · 2026-03-23 · 214 UPVOTESTrain Qwen3.5 with RL locally!
Train Qwen3.5 with RL locally!
- REDDIT · 2026-03-06 · 187 UPVOTESQwen3.5 9B GGUF Benchmarks
Qwen3.5 9B GGUF Benchmarks
- REDDIT · 2026-10-13 · 132 UPVOTESfinetune a model to talk through html instead of markdown
finetune a model to talk through html instead of markdown
- REDDIT · 2026-03-15 · 107 UPVOTESI built an open-source RAG system that actually understands images, tables, and document structure — not just text chunks
I built an open-source RAG system that actually understands images, tables, and document structure — not just text chunks
- REDDIT · 2026-04-10 · 68 UPVOTESQwen3.5-4B-Base-ZitGen-V1
Qwen3.5-4B-Base-ZitGen-V1
- REDDIT · 2026-03-28 · 65 UPVOTES[P] TurboQuant for weights: near‑optimal 4‑bit LLM quantization with lossless 8‑bit residual – 3.2× memory savings
[P] TurboQuant for weights: near‑optimal 4‑bit LLM quantization with lossless 8‑bit residual – 3.2× memory savings
- REDDIT · 2026-07-22 · 64 UPVOTESNuExtract3 is now available on Ollama: 4B VLM for document-to-Markdown and structured JSON extraction
NuExtract3 is now available on Ollama: 4B VLM for document-to-Markdown and structured JSON extraction
- REDDIT · 2026-08-17 · 45 UPVOTEStencent/EVIE-Preview-4.5B · Hugging Face
tencent/EVIE-Preview-4.5B · Hugging Face
- REDDIT · 2026-07-13 · 19 UPVOTESSmallest coding model possible
Smallest coding model possible