Models › Qwen3 family

Qwen3-VL-8B-Thinking

Qwen Apache 2.0 out 12 months ago

8.77B parameters, images and text in, text out, 256K tokens of context. 1 provider serves it.

Verified 2026-10-25 Rank #188 in LLMs · score 89.7 method v1 Sources 4 Downloads 30d 107.6k · #312 of 619 tracked

Can I run it?5.3GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24
Do people use it?107.6kdownloads, 30 days#312 of 619 we track · top 50%+2 likes, downloads −1% this week231 likesHugging Face2026-10-24

Worth reading

Picked by rule from 19 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

19 best of 19 tracked

The 3 picks above, plus these 16. 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 8B - Intelligence, Performance & Price Analysisartificialanalysis.ai · undated
  10. ArticleQwen3-VL-8B-Thinking - QwenCloudqwencloud.com · undated
  11. ArticleQwen3 VL 8B Instruct vs Qwen3 VL 8B Thinking: Benchmarks, Pricing & Which Is Better in 2026llm-stats.com · undated
  12. ArticleQwen3-VL-8B-Thinking — Open God Modeopengodmode.ai · undated
  13. ArticleQwen3 VL Thinking (8B) Benchmarks, Pricing & Specs — Vector Wirevectorwire.ai · undated
  14. ArticleQwen3-VL Vision Models — Guide, Benchmarks & Setupqwen-ai.com · undated
  15. ArticleQwen: Qwen3 VL 8B Thinking Review | Pricing, Benchmarks & Capabilities (2026) | Design for Onlinedesignforonline.com · 2026-02-25
  16. ArticleQwen3-VL-8B Instruct vs Thinking: Which to Use (2026)codersera.com · 2025-10-17

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; 33 quantized builds for local use; a big base for builders (116 fine-tunes, adapters and merges).

  • As a service1Featherless
  • On own hardware33quantized builds
  • Built on11679 fine-tunes · 33 adapters · 4 merges
  • In apps12Hugging Face Spaces

Top Spaces running it: nvidia/Cosmos3-Action-Viewer ♥ 46 · Slait/Caption_Qwen-vl ♥ 2 · nvidia/Cosmos3-Action-Viewer-Prerelease ♥ 1

Will it fit?

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

Fits a 16 GB card at INT4

About 5.3 GB at INT4, 11 GB at FP8, 21 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 5.3 GB of weights (estimate; KV cache and activations extra)INT45.3 GBFP8: about 11 GB of weights (estimate; KV cache and activations extra)FP811 GBBF16: about 21 GB of weights (estimate; KV cache and activations extra)BF1621 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 5.3 GB of weights (estimate; KV cache and activations extra)INT45.3 GBFP8: about 11 GB of weights (estimate; KV cache and activations extra)FP811 GBBF16: about 21 GB of weights (estimate; KV cache and activations extra)BF1621 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 (2025-10-11), amber triangles are 4 dated articles (each links to it), grey ticks are repo commits.

MayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2025-11-26: 1 repo commit2025-10-15: 2 repo commits2025-10-14: 1 repo commit2025-10-13: 1 repo commit2025-10-11: 2 repo commitsQwen3.5 122B and 35B models offer Sonnet 4.5 performance on local computers · 2026-02-28Qwen3: Think deeper, act faster · 2025-04-28Qwen3-VL · 2025-09-23GPT-OSS vs. Qwen3 and a detailed look how things evolved since GPT-2 · 2025-08-10Weights 2025-10-11 · 2025-10-11Weights 2025-10-11now · 1 provider
MayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2025-11-26: 1 repo commit2025-10-15: 2 repo commits2025-10-14: 1 repo commit2025-10-13: 1 repo commit2025-10-11: 2 repo commitsQwen3.5 122B and 35B models offer Sonnet 4.5 performance on local computers · 2026-02-28Qwen3: Think deeper, act faster · 2025-04-28Qwen3-VL · 2025-09-23GPT-OSS vs. Qwen3 and a detailed look how things evolved since GPT-2 · 2025-08-10Weights 2025-10-11 · 2025-10-11Weights 2025-10-11now · 1 provider

What people built on it

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

149 derivatives on the Hub, most of them fine-tunes

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

33 quantized (Hugging Face model tree)79 fine-tunes (Hugging Face model tree)4 merges (Hugging Face model tree)33 adapters (Hugging Face model tree)33 quantized79 fine-tunes4 merges33 adapters
33 quantized (Hugging Face model tree)79 fine-tunes (Hugging Face model tree)4 merges (Hugging Face model tree)33 adapters (Hugging Face model tree)33 quantized79 fine-tunes4 merges33 adapters

All variants →

Reference

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

Use-case evidence

8 use cases

Facts

21 fields

Listed in LLMs

Facts

Pipeline tagimage-text-to-text
Librarytransformers
ArchitecturesQwen3VLForConditionalGeneration
Model typeqwen3_vl
Dtypebfloat16
Params by dtypeBF16: 8,767,123,696
Size bandM
MoEno
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 · Qwen3VLForConditionalGeneration · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · Qwen3VLForConditionalGeneration · 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-8B-Thinking: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)21 GB · Single GPU (<24 GB)
FP8 (1 byte/param)11 GB · Single GPU (<24 GB)
INT4 (0.5 bytes/param)5.3 GB · Single GPU (<24 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.

All variants

40 variants

Lineage

Original model Family: Qwen/Qwen3 149 derivatives on the Hub

quantized: 33finetune: 79adapter: 33merge: 4

Top variants (40 shown, ranked by downloads)

Relation
Quant
Size
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
Qwen/Qwen3-VL-8B-Thinking-FP8 quantized -FP8 8.77B M apache-2.0 Qwen 40 342.6k
unsloth/Qwen3-VL-8B-Thinking-GGUF quantized GGUF — — apache-2.0 unsloth 27 177.5k
unsloth/Qwen3-VL-8B-Thinking-1M-GGUF quantized GGUF — — apache-2.0 unsloth 19 101.2k
cyankiwi/Qwen3-VL-8B-Thinking-AWQ-8bit quantized AWQ 3.77B M apache-2.0 cyankiwi 4 74.4k
Qwen/Qwen3-VL-8B-Thinking-GGUF quantized GGUF — — apache-2.0 Qwen 35 58.3k
tiny-random/qwen3-vl finetune — 4.51M S — tiny-random 1 34.9k
cyankiwi/Qwen3-VL-8B-Thinking-AWQ-4bit quantized AWQ 2.91B M apache-2.0 cyankiwi 2 24.5k
unsloth/Qwen3-VL-8B-Thinking-unsloth-bnb-4bit quantized -bnb 8.77B M apache-2.0 unsloth 5 23.3k
bartowski/Qwen_Qwen3-VL-8B-Thinking-GGUF quantized GGUF — — — bartowski 6 22.4k
NexaAI/Qwen3-VL-8B-Thinking-GGUF quantized GGUF — — — NexaAI 12 20.6k
huihui-ai/Huihui-Qwen3-VL-8B-Thinking-abliterated finetune — 8.77B M apache-2.0 huihui-ai 36 18.3k
Hcompany/Holo2-8B finetune — 8.77B M apache-2.0 Hcompany 30 16.3k
lmstudio-community/Qwen3-VL-8B-Thinking-GGUF quantized GGUF — — apache-2.0 lmstudio-community 3 16.9k
unsloth/Qwen3-VL-8B-Thinking finetune — 8.77B M apache-2.0 unsloth 2 12.5k
mradermacher/Qwen3-VL-8B-Thinking-i1-GGUF quantized GGUF — — apache-2.0 mradermacher 1 9.3k
janhq/Jan-v2-VL-high finetune — 8.77B M apache-2.0 janhq 90 4.3k
Mungert/Jan-v2-VL-high-GGUF quantized GGUF — — apache-2.0 Mungert 0 8.2k
janhq/Jan-v2-VL-low finetune — 8.77B M apache-2.0 janhq 16 6.1k
lmstudio-community/Qwen3-VL-8B-Thinking-MLX-4bit quantized MLX — — apache-2.0 lmstudio-community 0 6.9k
unsloth/Qwen3-VL-8B-Thinking-bnb-4bit quantized -bnb 8.77B M apache-2.0 unsloth 3 6.6k
ricoh-ai/Qwen-3-VL-Ricoh-8B-20260227 finetune — 8.77B M apache-2.0 ricoh-ai 21 3.8k
redponike/Qwen3-VL-8B-Thinking-GGUF quantized GGUF — — apache-2.0 redponike 0 4.4k
prithivMLmods/Qwen3-VL-8B-Thinking-abliterated-v1 finetune — 8.77B M apache-2.0 prithivMLmods 7 3.6k
coder3101/Qwen3-VL-8B-Thinking-heretic finetune — 8.77B M apache-2.0 coder3101 2 3.5k
mradermacher/Qwen3-VL-8B-Thinking-GGUF quantized GGUF — — apache-2.0 mradermacher 0 3.4k
zeromodels/qwen3-vl-8b-thinking finetune — — — apache-2.0 zeromodels 0 3.2k
lmstudio-community/Qwen3-VL-8B-Thinking-MLX-8bit quantized MLX — — apache-2.0 lmstudio-community 0 3.1k
nvidia/EGM-8B finetune — 8.77B M apache-2.0 nvidia 12 2.4k
janhq/Jan-v2-VL-med finetune — 8.77B M apache-2.0 janhq 14 1.6k
DevQuasar/Qwen.Qwen3-VL-8B-Thinking-GGUF quantized GGUF — — — DevQuasar 1 2.2k
cybermotaz/qwen3-vl-8b-thinking-nvfp4-w4a16 quantized nvfp4 5.29B M apache-2.0 cybermotaz 2 2k
taobao-mnn/Qwen3-VL-8B-Thinking-MNN quantized — — — apache-2.0 taobao-mnn 1 2k
John1604/Qwen3-VL-8B-Thinking-gguf quantized gguf — — apache-2.0 John1604 0 2k
nvidia/EGM-8B-SFT finetune — 770K S apache-2.0 nvidia 5 1.6k
lmstudio-community/Qwen3-VL-8B-Thinking-MLX-6bit quantized MLX — — apache-2.0 lmstudio-community 0 1.6k
yujiepan/qwen3-vl-tiny-random finetune — 4.51M S — yujiepan 0 1.6k
lmstudio-community/Qwen3-VL-8B-Thinking-MLX-5bit quantized MLX — — apache-2.0 lmstudio-community 0 1.4k
OpenWebRL/OpenWebRL-8B-SFT finetune — 8.77B M apache-2.0 OpenWebRL 0 1.4k
LeadFootThrottleCock/Qwen3-VL-8B-Thinking-heretic-GGUF quantized GGUF — — apache-2.0 LeadFootThrottleCock 0 1.4k
SL-AI/GRaPE-2-Flash_GGUF quantized GGUF — — apache-2.0 SL-AI 0 1.3k

Repository changelog

7 commits

Repository changelog 7 commits

DateCommitSHA
2025-11-26 Adding `transformers` as the library name (#4) 92f3c4b
2025-10-15 Fix: move inputs to model device in inference example to avoid "same device" error (#3) 41ea130
2025-10-15 Update README.md dfca9c6
2025-10-14 Update README.md 38c5774
2025-10-13 Update README.md 9a40b5c
2025-10-11 Upload folder using huggingface_hub a2fcb1a
2025-10-11 initial commit 1345713

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for Qwen3-VL-8B-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-8B-Thinking — — — — — — — live 2026-10-25

Articles and coverage

19 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.

Official2

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

Analysis8

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
artificialanalysis.aiauthorityabout the Qwen3 family
qwencloud.com
llm-stats.com
opengodmode.ai
vectorwire.aiabout the Qwen3 family
All coverage tracked for this model (19) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
Qwen3 VL 8B Thinking - API Pricing & Benchmarks | OpenRouteropenrouter.ai—2026-10-07exa
Qwen3 VL 8B - Intelligence, Performance & Price Analysisartificialanalysis.ai—2026-10-07exa
Qwen3-VL-8B-Thinking - QwenCloudqwencloud.com—2026-10-07exa
Qwen3 VL 8B Instruct vs Qwen3 VL 8B Thinking: Benchmarks, Pricing & Which Is Better in 2026llm-stats.com—2026-10-07exa
Qwen3-VL-8B-Thinking — Open God Modeopengodmode.ai—2026-10-07exa
Qwen3 VL Thinking (8B) Benchmarks, Pricing & Specs — Vector Wirevectorwire.ai—2026-10-07exa
Qwen3-VL Vision Models — Guide, Benchmarks & Setupqwen-ai.com—2026-10-07exa
Qwen3.5 122B and 35B models offer Sonnet 4.5 performance on local computersventurebeat.com2026-02-282026-10-07hn
Qwen: Qwen3 VL 8B 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
Qwen3-VL-8B Instruct vs Thinking: Which to Use (2026)codersera.com2025-10-172026-10-07exa
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

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

  • Qwen3.5-9B · 9.65B
    same task (image-text-to-text), more providers, permissive license
  • Qwen2.5-VL-7B-Instruct · 8.29B
    same size band (M), same task (image-text-to-text), fewer providers, permissive license
  • UI-TARS-1.5-7B · 8.29B
    same size band (M), same task (image-text-to-text), permissive license

Sources

4 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:36 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:04 UTC · Last verified 2026-10-25

Follow Qwen3-VL-8B-Thinking

Watch this model

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