Models › Qwen3 family

Qwen3-VL-235B-A22B-Thinking

Qwen Apache 2.0 out 13 months ago

236B parameters, 22B active (8 of 128 experts per token), images and text in, text out, 256K tokens of context. 1 provider serves it.

Verified 2026-10-25 Rank #155 in LLMs · score 92 method v1 Sources 4 Downloads 30d 60.3k · #366 of 619 tracked

Can I run it?141GB at INT4Estimatefits 2×80 GBmethod
Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24
Do people use it?60.3kdownloads, 30 days#366 of 619 we track · below the median+3 likes, downloads +179% this week418 likesHugging Face2026-10-24

Worth reading

Picked by rule from 18 tracked pieces: the lab's own post, the most shared, a field report, the latest.

Most discussed · 490 HN pts

GPT-OSS vs. Qwen3 and a detailed look how things evolved since GPT-2

OpenAI released gpt-oss-120b and gpt-oss-20b, their first open-weight models since GPT-2 in 2019.

  • A 2025 research paper confirms Dropout results in worse downstream performance in single-epoch regimes.
magazine.sebastianraschka.com 2025-08-10 490 HN pts · 97 comments 5.2k words about the Qwen3 family family

18 best of 18 tracked

The 3 picks above, plus these 15. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

  1. ArticleQwen3-Coder-Nextqwen.ai · 2026-02-03 · official
  2. ArticleQwen3-Max-Thinkingqwen.ai · 2026-01-26 · official
  3. ArticleQwen3-TTS family is now open sourced: Voice design, clone, and generationqwen.ai · 2026-01-22 · official
  4. ArticleQwen3: Think deeper, act fasterqwenlm.github.io · 2025-04-28 · 869 HN pts · official
  5. ArticleQwen3-Coder: Agentic coding in the worldqwenlm.github.io · 2025-07-22 · official
  6. ArticleQwen3-Nextqwen.ai · 2025-09-12 · official
  7. ArticleQwen3-VLqwen.ai · 2025-09-23 · 434 HN pts · official
  8. CodeQwen3-Omni: Native Omni AI model for text, image and videogithub.com · 2025-09-22
  9. ArticleQwen3-VL: Sharper Vision, Deeper Thought, Broader Actionalibabacloud.com · undated · official
  10. ArticleQwen3-VL-235B-A22B | Awesome Agentsawesomeagents.ai · 2026-07-22
  11. ArticleShow HN: Easily Run Qwen-3 VL on HPC-AI.comhpc-ai.com · 2025-09-29 · 8 HN pts
  12. ArticleQwen3-VL-235B-A22B-Thinking - QwenCloudqwencloud.com · undated
  13. ArticleQwen3-VL-235B-A22B-Thinking · Model card | CodeSOTAcodesota.com · undated
  14. ArticleQwen3 VL 235B A22B Thinkingvercel.com · undated
  15. ArticleQwen: Qwen3 VL 235B A22B Thinking Review | Pricing, Benchmarks & Capabilities (2026) | Design for Onlinedesignforonline.com · 2026-02-25

Where to run it

Live hosted endpoints, cheapest first, USD per million tokens. Ties break on output price, then provider name.

#Cheapest live rowIn /1MOut /1MContextQuantSeen
1 Featherless — — — — Oct 25

All 1 provider →

Where it's used

Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.

Served by 1 API provider; 15 quantized builds for local use.

  • As a service1Featherless
  • On own hardware15quantized builds
  • Built on43 fine-tunes · 0 adapters · 1 merges
  • In apps68Hugging Face Spaces

Top Spaces running it: hadadxyz/ai ♥ 819 · umint/ai ♥ 258 · nvidia/Cosmos3-Action-Viewer ♥ 46 · zakaria-ch49/Medical-Question-Answering-with-Retrieval-Augmented-Generation_RAG ♥ 2

Will it fit?

Weights only, an estimate: leave room for the KV cache. Method

Fits two 80 GB GPUs at INT4; too big for one

About 141 GB at INT4, 283 GB at FP8, 566 GB at BF16: weights only, so leave room for the KV cache. Every expert must be resident, so total parameters count.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 141 GB of weights (estimate; KV cache and activations extra)INT4141 GBFP8: about 283 GB of weights (estimate; KV cache and activations extra)FP8283 GBBF16: about 566 GB of weights (estimate; KV cache and activations extra)BF16566 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 141 GB of weights (estimate; KV cache and activations extra)INT4141 GBFP8: about 283 GB of weights (estimate; KV cache and activations extra)FP8283 GBBF16: about 566 GB of weights (estimate; KV cache and activations extra)BF16566 GB

Estimate params × bytes per param × 1.2 · how we estimate

The story so far

Weights, every dated article, and repo commits on one rail.

Most coverage came in the first two weeks

Teal is the weights (2025-09-22), amber triangles are 6 dated articles (each links to it), grey ticks are repo commits.

What people built on it

19 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

19 derivatives on the Hub, most of them quantized

From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.

15 quantized (Hugging Face model tree)3 fine-tunes (Hugging Face model tree)1 merge (Hugging Face model tree)15 quantized3 fine-tunes1 merge
15 quantized (Hugging Face model tree)3 fine-tunes (Hugging Face model tree)1 merge (Hugging Face model tree)15 quantized3 fine-tunes1 merge

All variants →

Reference

Everything else, folded: the full tables, every source.

Use-case evidence

7 use cases

What it is good at 7 use cases

Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.

Facts

23 fields

Listed in LLMs · MoE

Facts

Pipeline tagimage-text-to-text
Librarytransformers
ArchitecturesQwen3VLMoeForConditionalGeneration
Model typeqwen3_vl_moe
Dtypebfloat16
Params by dtypeBF16: 235,670,022,896
Size bandXXL
MoEyes
Experts128
Experts per token8
Context length262,144 (config.json max_position_embeddings)
PapersarXiv:2505.09388, arXiv:2502.13923, arXiv:2409.12191, arXiv:2308.12966
LicenseApache 2.0 (apache-2.0)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · Qwen3VLMoeForConditionalGeneration · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · Qwen3VLMoeForConditionalGeneration · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed

vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Hardware fit

3 estimates

Hardware fit ESTIMATE

Weights-only memory for Qwen3-VL-235B-A22B-Thinking: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)566 GB · Multi-GPU node (<640 GB)
FP8 (1 byte/param)283 GB · Multi-GPU node (<640 GB)
INT4 (0.5 bytes/param)141 GB · Multi-GPU node (<640 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra. MoE: all experts must be resident, so total parameters count.

All variants

19 variants

Lineage

Original model Family: Qwen/Qwen3 19 derivatives on the Hub

quantized: 15finetune: 3merge: 1

Top variants (19 shown, ranked by downloads)

Relation
Quant
Size
19 rows
Variant Relation Quant Params Band License Author Likes Downloads
Qwen/Qwen3-VL-235B-A22B-Thinking-FP8 quantized -FP8 236B XXL apache-2.0 Qwen 35 195.3k
unsloth/Qwen3-VL-235B-A22B-Thinking-GGUF quantized GGUF — — apache-2.0 unsloth 43 89k
Qwen/Qwen3-VL-235B-A22B-Thinking-GGUF quantized GGUF — — apache-2.0 Qwen 8 35.9k
QuantTrio/Qwen3-VL-235B-A22B-Thinking-AWQ quantized AWQ 236B XXL apache-2.0 QuantTrio 8 29k
unsloth/Qwen3-VL-235B-A22B-Thinking-1M-GGUF quantized GGUF — — apache-2.0 unsloth 2 27.5k
lmstudio-community/Qwen3-VL-235B-A22B-Thinking-GGUF quantized GGUF — — apache-2.0 lmstudio-community 0 11.5k
DevQuasar/Qwen.Qwen3-VL-235B-A22B-Thinking-GGUF quantized GGUF — — — DevQuasar 0 5.2k
QuantTrio/Qwen3-VL-235B-A22B-Thinking-FP8 quantized -FP8 236B XXL apache-2.0 QuantTrio 0 4.1k
GadflyII/Qwen3-VL-235B-A22B-Thinking-NVFP4 quantized NVFP4 133B XXL apache-2.0 GadflyII 0 3.2k
noctrex/Qwen3-VL-235B-A22B-Thinking-1M-MXFP4_MOE-GGUF quantized GGUF — — — noctrex 3 2.9k
Hcompany/Holo2-235B-A22B finetune — 236B XXL cc-by-nc-4.0 Hcompany 34 865
GaleneAI/Qwen3-VL-235B-A22B-Thinking-NVFP4 quantized NVFP4 133B XXL apache-2.0 GaleneAI 1 1k
zenlm/zen-designer-235b-a22b-thinking finetune — 236B XXL apache-2.0 zenlm 2 895
mradermacher/Qwen3-VL-235B-A22B-Thinking-i1-GGUF quantized GGUF — — apache-2.0 mradermacher 2 762
unsloth/Qwen3-VL-235B-A22B-Thinking finetune — 236B XXL apache-2.0 unsloth 8 457
mradermacher/Qwen3-VL-235B-A22B-Thinking-GGUF quantized GGUF — — apache-2.0 mradermacher 0 572
shivak/Qwen3-VL-235B-A22B-Thinking-W4A16 quantized -W4A16 32.9B L apache-2.0 shivak 0 391
turboderp/Qwen3-VL-235B-A22B-Thinking-exl3 quantized exl3 — — apache-2.0 turboderp 1 217
Abigail45/Smol-DeepSWE merge — — — apache-2.0 Abigail45 1 0

Repository changelog

15 commits

Repository changelog 15 commits

DateCommitSHA
2025-11-26 Adding `transformers` as the library name (#14) 6664aff
2025-10-04 Update README.md d3b3ca4
2025-09-23 Update README.md c6a4947
2025-09-23 Update README.md 6e2d066
2025-09-23 Update README.md df855a8
2025-09-23 Update generation_config.json 6c55e1d
2025-09-23 Update README.md 644e941
2025-09-23 Update README.md de1485a
2025-09-23 Add files using upload-large-folder tool 460ea5f
2025-09-23 Add files using upload-large-folder tool 62ac206
2025-09-23 Add files using upload-large-folder tool 4a698c0
2025-09-23 Add files using upload-large-folder tool 55dc971
2025-09-23 Add files using upload-large-folder tool 65bf4de
2025-09-23 Add files using upload-large-folder tool 992342a
2025-09-22 initial commit 05f5d44

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for Qwen3-VL-235B-A22B-Thinking, sorted by input price (USD per million tokens). Each row names its observer and date; prices change daily, so check the source before quoting.

ProviderModel refContextQuant$/M in$/M outtok/sTTFTToolsStatusObserved
Featherless
hf
Qwen/Qwen3-VL-235B-A22B-Thinking — — — — — — — live 2026-10-25

Articles and coverage

18 pieces

Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency. Summaries are generated from a stored copy of the article text; every sentence cites a span of that text, and nothing is shown that failed the citation check.

Official3

qwenlm.github.io2025-04-28officialauthorityHN front pageabout the Qwen3 familyHN 869 pts · 388 comments2,139 words
Qwen3 introduces Hybrid Thinking Modes, allowing users to toggle between step-by-step reasoning and rapid responses via computational budget control. The open-weight MoE model Qwen3-235B-A22B achieves performance similar to dense models while using only 10% of the active parameters. Pre-training utilized approximately 36 trillion tokens across 119 languages, with deployment supported by SGLang and vLLM.written, reviewed, cited
  • Qwen3-8B and Qwen3-14B models do not use tied embeddings, unlike smaller variants.
  • The pre-training pipeline includes a final stage extending context length to 32K tokens.
qwen.ai2025-09-23officialauthorityHN front pageabout the Qwen3 familyHN 434 pts · 160 comments5,127 words
alibabacloud.comofficialabout the Qwen3 family

Analysis7

venturebeat.com2026-02-28HN front pageabout the Qwen3 familyHN 461 pts · 272 comments
magazine.sebastianraschka.com2025-08-10authorityHN front pageabout the Qwen3 familyHN 490 pts · 97 comments5,195 words
OpenAI released gpt-oss-120b and gpt-oss-20b, their first open-weight models since GPT-2 in 2019. The 20B model can run on a consumer GPU with up to 16 GB of RAM, and the 120B model can run on a single H100 with 80 GB of RAM or newer hardware. The models utilize MXFP4 optimization to fit onto single GPUs.written, reviewed, cited
  • A 2025 research paper confirms Dropout results in worse downstream performance in single-epoch regimes.
openrouter.aiauthority
awesomeagents.ai2026-07-22about the Qwen3 family
hpc-ai.com2025-09-29about the Qwen3 familyHN 8 pts · 3 comments
qwencloud.com
codesota.com
All coverage tracked for this model (18) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
Qwen: Qwen3 VL 235B A22B Thinking – Benchmarks | OpenRouteropenrouter.ai—2026-10-07exa
Qwen3-VL: Sharper Vision, Deeper Thought, Broader Actionalibabacloud.com official—2026-10-07exa
Qwen3-VL-235B-A22B-Thinking - QwenCloudqwencloud.com—2026-10-07exa
Qwen3-VL-235B-A22B-Thinking · Model card | CodeSOTAcodesota.com—2026-10-07exa
Qwen3 VL 235B A22B Thinkingvercel.com—2026-10-07exa
Qwen3-VL-235B-A22B | Awesome Agentsawesomeagents.ai2026-07-222026-10-07exa
Qwen3.5 122B and 35B models offer Sonnet 4.5 performance on local computersventurebeat.com2026-02-282026-10-07hn
Qwen: Qwen3 VL 235B A22B Thinking Review | Pricing, Benchmarks & Capabilities (2026) | Design for Onlinedesignforonline.com2026-02-252026-10-07exa
Qwen3-Coder-Nextqwen.ai official2026-02-032026-10-07hn
Qwen3-Max-Thinkingqwen.ai official2026-01-262026-10-07hn
Qwen3-TTS family is now open sourced: Voice design, clone, and generationqwen.ai official2026-01-222026-10-07hn
Show HN: Easily Run Qwen-3 VL on HPC-AI.comhpc-ai.com2025-09-292026-10-07hn
Qwen3-VLqwen.ai official2025-09-232026-10-07hn
Qwen3-Omni: Native Omni AI model for text, image and videogithub.com2025-09-222026-10-07hn
Qwen3-Nextqwen.ai official2025-09-122026-10-07hn
GPT-OSS vs. Qwen3 and a detailed look how things evolved since GPT-2magazine.sebastianraschka.com2025-08-102026-10-07hn
Qwen3-Coder: Agentic coding in the worldqwenlm.github.io official2025-07-222026-10-07hn
Qwen3: Think deeper, act fasterqwenlm.github.io official2025-04-282026-10-07hn, exa

Papers

4 papers

Papers 4

arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).

Similar models

3 models

Similar models

  • GLM-5.3-Flash · 321B
    same size band (XXL), also MoE, same task (image-text-to-text), more providers, permissive license
  • MiniMax-M3.1-Flash · 220B
    same size band (XXL), also MoE, same task (image-text-to-text), fewer providers
  • Inkling-Small · 266B
    same size band (XXL), also MoE, same task (image-text-to-text), fewer providers, permissive license

Sources

4 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:35 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:01 UTC · Last verified 2026-10-25

Follow Qwen3-VL-235B-A22B-Thinking

Watch this model

Email alerts are not open yet; the feeds above are the same data. See feeds for the item schema.