Qwen3-30B-A3B

30.5B parameters, 3B active (8 of 128 experts per token), text in, text out, 40K tokens of context. 1 provider serves it from $0.12 per million input tokens.

Verified 2026-10-25 Rank #76 in LLMs · score 103.5 method v1 Sources 4 Downloads 30d 1M · #108 of 619 tracked

Changed this week: 2 new quantized builds on the Hub (155 in all).2026-10-24 · 1 new quantized build on the Hub (154 in all).2026-10-24

Can I run it?18GB at INT4Estimatefits a 24 GB cardmethodCommunity: Qwen3-30B-A3B Deep Dive: How 128 Experts Achieve Frontier Performance at 10% Active Parameters | Pavel Nasovich's Blog →

What does it cost?$0.12/1M incheapest of 1DeepInfrafp82026-10-25

Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24

Do people use it?1Mdownloads, 30 days#108 of 619 we track · top 17%+7 likes, downloads −16% this week973 likesHugging Face2026-10-24

Worth reading

Picked by rule from 28 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

Latest · 8 months ago

Qwen3.5 122B and 35B models offer Sonnet 4.5 performance on local computers

venturebeat.com 2026-02-28 461 HN pts · 272 comments about the Qwen3 family family

25 best of 28 tracked

The 3 picks above, plus these 22. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

ArticleQwen3-Coder-Nextqwen.ai · 2026-02-03 · official
ArticleQwen3-Max-Thinkingqwen.ai · 2026-01-26 · official
ArticleQwen3-TTS family is now open sourced: Voice design, clone, and generationqwen.ai · 2026-01-22 · official
ArticleQwen3: Think deeper, act fasterqwenlm.github.io · 2025-04-28 · 869 HN pts · official
ArticleQwen3-Coder: Agentic coding in the worldqwenlm.github.io · 2025-07-22 · official
ArticleQwen3-Nextqwen.ai · 2025-09-12 · official
ArticleQwen3-VLqwen.ai · 2025-09-23 · official
CodeQwen3-Omni: Native Omni AI model for text, image and videogithub.com · 2025-09-22
CodeQwen3 30B A3B Hits 13 token/s on 4xRaspberry Pi 5github.com · 2025-09-06 · 347 HN pts
ArticleA 30B Qwen model walks into a Raspberry Pi and runs in real timebyteshape.com · 2026-01-06 · 363 HN pts
ArticleQwen3 30B A3B 2507 (Reasoning) vs Qwen3 32B (Non-reasoning): Model Comparison | Artificial Analysisartificialanalysis.ai · undated
DiscussionQwen3-30B-A3Btwitter.com · 2025-07-29 · 12 HN pts
ArticleQwen3-30B-A3B: Which Version Should You Run Now? | LaoZhang AI Blogblog.laozhang.ai · 2026-05-22
DiscussionQwen3-30B-A3B-2507 and Qwen3-235B-A22B-2507 now support up to 1M token contexttwitter.com · 2025-08-08 · 5 HN pts
ArticleQwen3-30B-A3B-Thinking-2507 Reasoning Model In-Depth Review | AI Coding Tools Docsaicodingtools.blog · undated
ArticleQwen3-30B-A3B: Efficient Multimodal MoEapi.emergentmind.com · undated
ArticleQwen3-30B-A3B · Docs · Nextbitnextbit256.com · undated
DiscussionRunning Qwen3-30B-A3B on ARM CPU of Single-Board Computerold.reddit.com · 2025-04-30
ArticleLocal AI agent in 44 lines of code powered by Qwen3 30B A3B Instructrentry.co · 2025-08-15
ArticleSwitching to Qwen3-30B-A3B-Instruct-2507 Significantly Improves Local Agenthexeditreality.com · 2025-07-31
DiscussionQwen3-30B-A3B-Thinking-2507twitter.com · 2025-07-30
VideoOpencode with Nemotron-3-Nano vs. Qwen3-Coder-30B-A3B vs. GPT-OSS-20B-mxfp4 [video]youtube.com · 2025-12-17

Show all 22

Where to run it

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

#	Cheapest live row	In /1M	Out /1M	Context	Quant	Seen
1	DeepInfra	$0.12	$0.50	40K	fp8	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; heavily run locally (155 quantized builds); a big base for builders (154 fine-tunes, adapters and merges).

As a service1DeepInfra
On own hardware155quantized builds
Built on15479 fine-tunes · 66 adapters · 9 merges
In apps100+Hugging Face Spaces

Top Spaces running it: Qwen/Qwen3-Demo ♥ 868 · pliny-the-prompter/obliteratus ♥ 621 · ISEEKYAN/megatron_memory_estimator ♥ 35 · aiqtech/LLM-Token-Visual ♥ 24

Will it fit?

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

Fits a 64 GB Mac (unified memory) at INT4

About 18 GB at INT4, 37 GB at FP8, 73 GB at BF16: weights only, so leave room for the KV cache. Every expert must be resident, so total parameters count.

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

The story so far

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

9 dated articles and 19 repo commits so far

Teal is the weights (2025-04-27), amber triangles are 9 dated articles (each links to it), grey ticks are repo commits.

What people built on it

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

309 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.

GGUF MaziyarPanahi/Qwen3-30B-A3B-GGUF for llama.cpp, Ollama, LM Studio 3.4M downloads MLX lmstudio-community/Qwen3-30B-A3B-MLX-4bit for Apple silicon 373.7k downloads GPTQ Qwen/Qwen3-30B-A3B-GPTQ-Int4 for vLLM, SGLang 3.3M downloads

All variants →

Reference

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

Use-case evidence

5 use cases

What it is good at 5 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

24 fields

Listed in LLMs · MoE

Facts

Qwen3-30B-A3B has 30.5B parameters (3B active per token). (safetensors metadata, observed 2026-10-24)
Qwen3-30B-A3B is a mixture-of-experts model with 128 experts, routing 8 per token. (config.json, observed 2026-10-24)
Context length is 40,960 tokens (40K). (config.json max_position_embeddings, observed 2026-10-24)
License: Apache 2.0 (friction: none). Permissive; patent grant. (license file, observed 2026-10-24)
Created 2025-04-27, last modified 2025-07-26. (HF API, observed 2026-10-24)

Pipeline tag	text-generation
Library	transformers
Architectures	Qwen3MoeForCausalLM
Model type	qwen3_moe
Dtype	bfloat16
Params by dtype	BF16: 30,532,122,624
Size band	L
MoE	yes
Experts	128
Experts per token	8
Context length	40,960 (config.json max_position_embeddings)
Papers	arXiv:2309.00071, arXiv:2505.09388
License	Apache 2.0 (apache-2.0)
Hub snapshot	2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · Qwen3MoeForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · Qwen3MoeForCausalLM · 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 Qwen3-30B-A3B: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)	73 GB · Single high-end GPU (<80 GB)
FP8 (1 byte/param)	37 GB · Single high-end GPU (<80 GB)
INT4 (0.5 bytes/param)	18 GB · Single GPU (<24 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

40 variants

Lineage

Fine-tuned from Qwen/Qwen3-30B-A3B-Base (same organization) Family: Qwen/Qwen3 309 derivatives on the Hub

Base model: Qwen/Qwen3-30B-A3B-Base

quantized: 155finetune: 79merge: 9adapter: 66

Top variants (40 shown, ranked by downloads)

Variant	Relation	Quant	Params	Band	License	Author	Likes	Downloads
MaziyarPanahi/Qwen3-30B-A3B-GGUF	quantized	GGUF	—	—	—	MaziyarPanahi	6	3.4M
Qwen/Qwen3-30B-A3B-GPTQ-Int4	quantized	GPTQ	30.5B	L	apache-2.0	Qwen	64	3.3M
Qwen/Qwen3-30B-A3B-FP8	quantized	-FP8	30.5B	L	apache-2.0	Qwen	95	2.7M
unsloth/Qwen3-30B-A3B-GGUF	quantized	GGUF	—	—	apache-2.0	unsloth	292	2.4M
mlabonne/Qwen3-30B-A3B-abliterated	finetune	—	30.5B	L	apache-2.0	mlabonne	45	1.7M
ELVISIO/Qwen3-30B-A3B-AWQ	quantized	AWQ	30.5B	L	apache-2.0	ELVISIO	4	1.2M
Qwen/Qwen3-30B-A3B-GGUF	quantized	GGUF	—	—	apache-2.0	Qwen	85	847.8k
nvidia/Qwen3-30B-A3B-NVFP4	quantized	NVFP4	15.6B	L	apache-2.0	nvidia	41	846.7k
lmstudio-community/Qwen3-30B-A3B-MLX-4bit	quantized	MLX	30.5B	L	apache-2.0	lmstudio-community	26	373.7k
nytopop/Qwen3-30B-A3B.w8a8	quantized	—	30.6B	L	apache-2.0	nytopop	2	361.7k
lmstudio-community/Qwen3-30B-A3B-MLX-8bit	quantized	MLX	30.5B	L	apache-2.0	lmstudio-community	9	356.7k
mlx-community/Qwen3-30B-A3B-4bit	quantized	-4bit	30.5B	L	apache-2.0	mlx-community	16	297.9k
bartowski/Qwen_Qwen3-30B-A3B-GGUF	quantized	GGUF	—	—	apache-2.0	bartowski	60	263.3k
BCCard/Qwen3-30B-A3B-FP8-Dynamic	quantized	-FP8	30.6B	L	apache-2.0	BCCard	0	250.4k
unsloth/Qwen3-30B-A3B-bnb-4bit	quantized	-bnb	31.5B	L	—	unsloth	22	243.7k
QuixiAI/Qwen3-30B-A3B-AWQ	quantized	AWQ	30.5B	L	apache-2.0	QuixiAI	13	243.6k
RedHatAI/Qwen3-30B-A3B-NVFP4	quantized	NVFP4	17.5B	L	apache-2.0	RedHatAI	3	222.2k
RedHatAI/Qwen3-30B-A3B-FP8-dynamic	quantized	-FP8	30.6B	L	apache-2.0	RedHatAI	3	207.1k
lmstudio-community/Qwen3-30B-A3B-GGUF	quantized	GGUF	—	—	apache-2.0	lmstudio-community	26	193.1k
DavidAU/Qwen3-128k-30B-A3B-NEO-MAX-Imatrix-gguf	quantized	Imatrix	—	—	apache-2.0	DavidAU	38	153.8k
unsloth/Qwen3-30B-A3B-128K-GGUF	quantized	GGUF	—	—	apache-2.0	unsloth	60	142.7k
RedHatAI/Qwen3-30B-A3B-quantized.w4a16	quantized	-quant	30.5B	L	apache-2.0	RedHatAI	7	129.8k
RedHatAI/Qwen3-30B-A3B-FP8-block	quantized	-FP8	30.5B	L	apache-2.0	RedHatAI	0	121.1k
mlx-community/Qwen3-30B-A3B-8bit	quantized	-8bit	30.5B	L	apache-2.0	mlx-community	8	100.7k
unsloth/Qwen3-30B-A3B	finetune	—	30.5B	L	—	unsloth	20	86.3k
inference-optimization/Qwen3-1.6B-A0.9B	finetune	—	1.57B	S	mit	inference-optimization	4	48.8k
AliEdalati97/Qwen3-30B-A3B-MXFP8	quantized	—	31.5B	L	apache-2.0	AliEdalati97	0	43.5k
huihui-ai/Qwen3-30B-A3B-abliterated	finetune	—	30.5B	L	apache-2.0	huihui-ai	68	16.5k
mlx-community/Qwen3-30B-A3B-4bit-DWQ	quantized	-4bit	30.5B	L	apache-2.0	mlx-community	30	15.6k
Ewere/Qwen3-30B-A3B-abliterated-erotic	finetune	—	30.5B	L	apache-2.0	Ewere	61	12.5k
Lucy-in-the-Sky/Qwen3-30B-A3B-Q4_K_M-GGUF	quantized	GGUF	—	—	apache-2.0	Lucy-in-the-Sky	1	13.8k
JunHowie/Qwen3-30B-A3B-GPTQ-Int8	quantized	GPTQ	8.42B	M	apache-2.0	JunHowie	0	12.4k
nm-testing/Qwen3-30B-A3B-FP8-block	quantized	-FP8	3.34B	M	apache-2.0	nm-testing	0	12.4k
btbtyler09/Qwen3-30B-A3B-gptq-8bit	quantized	gptq	30.5B	L	apache-2.0	btbtyler09	3	11.9k
kalomaze/Qwen3-16B-A3B	finetune	—	16.0B	L	apache-2.0	kalomaze	89	7.5k
ggml-org/Qwen3-30B-A3B-GGUF	quantized	GGUF	—	—	apache-2.0	ggml-org	6	10.9k
nytopop/Qwen3-30B-A3B.w4a16	quantized	—	30.8B	L	apache-2.0	nytopop	8	10.1k
eaddario/Qwen3-30B-A3B-GGUF	quantized	GGUF	—	—	apache-2.0	eaddario	4	9.8k
6block/Qwen3-30B-A3B-GGUF	quantized	GGUF	—	—	apache-2.0	6block	0	9.6k
charlesthefool/Qwen3-30B-A3B-Q4_K_M-GGUF	quantized	GGUF	—	—	apache-2.0	charlesthefool	0	9.2k

Repository changelog

19 commits

changed in the last 7 daysOther: 2026-10-24, 2026-10-24all changes

Repository changelog 19 commits

Date	Commit	SHA
2025-07-26	Create LICENSE	ad44e77
2025-05-21	Update README.md	ae659fe
2025-05-19	update tokenizer_config.json	f0abbbe
2025-04-30	Update README.md (#11)	4c44647
2025-04-29	Update README.md	8428b10
2025-04-28	Update README.md	67b0e0c
2025-04-28	Update README.md	ecaea67
2025-04-28	Update README.md	ea8afce
2025-04-28	Delete special_tokens_map.json	876f22d
2025-04-28	Delete added_tokens.json	5f4c806
2025-04-28	Update README.md	b09a08b
2025-04-28	Update README.md	e187836
2025-04-28	Update config.json	d47d535
2025-04-28	Update README.md	bb90a70
2025-04-28	Update README.md	2a8783f
2025-04-28	Update README.md	0894131
2025-04-28	Update README.md	7e42a81
2025-04-28	Upload folder using huggingface_hub	fd4bf3b
2025-04-27	initial commit	5f85ebf

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for Qwen3-30B-A3B, sorted by input price (USD per million tokens). Each row names its observer and date; prices change daily, so check the source before quoting. Cheapest observed input price: $0.12/M.

Provider	Model ref	Context	Quant	$/M in	$/M out	tok/s	TTFT	Tools	Status	Observed
DeepInfra hf, deepinfra, openrouter	Qwen/Qwen3-30B-A3B	40K	fp8	$0.12	$0.50	133.5	230 ms	yes	live	2026-10-25

Articles and coverage

28 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.

Official1

Qwen3: Think deeper, act faster

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.

Analysis7

Qwen3.5 122B and 35B models offer Sonnet 4.5 performance on local computers

venturebeat.com2026-02-28HN front pageabout the Qwen3 familyHN 461 pts · 272 comments

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

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.

Qwen3 30B A3B Hits 13 token/s on 4xRaspberry Pi 5

github.com2025-09-06authorityHN front pageHN 347 pts · 161 comments

A 30B Qwen model walks into a Raspberry Pi and runs in real time

byteshape.com2026-01-06HN front pageHN 363 pts · 135 comments3,728 words

Qwen3 30B A3B 2507 (Reasoning) vs Qwen3 32B (Non-reasoning): Model Comparison | Artificial Analysis

artificialanalysis.aiauthority

Qwen3-30B-A3B | Awesome Agents

awesomeagents.ai2026-07-29

Qwen3-30B-A3B: Which Version Should You Run Now? | LaoZhang AI Blog

blog.laozhang.ai2026-05-22

Community2

Qwen3-30B-A3B

twitter.com2025-07-29HN 12 pts · 2 comments

Qwen3-30B-A3B-2507 and Qwen3-235B-A22B-2507 now support up to 1M token context

twitter.com2025-08-08HN 5 pts · 0 comments

All coverage tracked for this model (28) — append-only, nothing is ever removed

Title	Source	Published	First seen	Signals
Qwen3 30B A3B 2507 (Reasoning) vs Qwen3 32B (Non-reasoning): Model Comparison \| Artificial Analysis	artificialanalysis.ai	—	2026-10-07	exa
Qwen3-30B-A3B-Thinking-2507 Reasoning Model In-Depth Review \| AI Coding Tools Docs	aicodingtools.blog	—	2026-10-07	exa
Qwen3-30B-A3B: Efficient Multimodal MoE	api.emergentmind.com	—	2026-10-07	exa
Qwen3-30B-A3B · Docs · Nextbit	nextbit256.com	—	2026-10-07	exa
Qwen3-30B-A3B \| Awesome Agents	awesomeagents.ai	2026-07-29	2026-10-07	exa
Qwen3-30B-A3B: Which Version Should You Run Now? \| LaoZhang AI Blog	blog.laozhang.ai	2026-05-22	2026-10-07	exa
Qwen3.5 122B and 35B models offer Sonnet 4.5 performance on local computers	venturebeat.com	2026-02-28	2026-10-07	hn
Qwen3-Coder-Next	qwen.ai official	2026-02-03	2026-10-07	hn
Qwen3-Max-Thinking	qwen.ai official	2026-01-26	2026-10-07	hn
Qwen3-TTS family is now open sourced: Voice design, clone, and generation	qwen.ai official	2026-01-22	2026-10-07	hn
A 30B Qwen model walks into a Raspberry Pi and runs in real time	byteshape.com	2026-01-06	2026-10-07	hn
Opencode with Nemotron-3-Nano vs. Qwen3-Coder-30B-A3B vs. GPT-OSS-20B-mxfp4 [video]	youtube.com	2025-12-17	2026-10-07	hn
Qwen3-VL	qwen.ai official	2025-09-23	2026-10-07	hn
Qwen3-Omni: Native Omni AI model for text, image and video	github.com	2025-09-22	2026-10-07	hn
Qwen3-Next	qwen.ai official	2025-09-12	2026-10-07	hn
Qwen3 30B A3B Hits 13 token/s on 4xRaspberry Pi 5	github.com	2025-09-06	2026-10-07	hn
Local AI agent in 44 lines of code powered by Qwen3 30B A3B Instruct	rentry.co	2025-08-15	2026-10-07	hn
GPT-OSS vs. Qwen3 and a detailed look how things evolved since GPT-2	magazine.sebastianraschka.com	2025-08-10	2026-10-07	hn
Qwen3-30B-A3B-2507 and Qwen3-235B-A22B-2507 now support up to 1M token context	twitter.com	2025-08-08	2026-10-07	hn
Qwen3-30B-A3B Deep Dive: How 128 Experts Achieve Frontier Performance at 10% Active Parameters \| Pavel Nasovich's Blog	forcewake.me	2025-08-07	2026-10-07	exa
Qwen3-30B: The first AI model that is good enough for local deployment \| Alex Dong’s Blog	alexdong.com	2025-08-01	2026-10-07	exa
Switching to Qwen3-30B-A3B-Instruct-2507 Significantly Improves Local Agent	hexeditreality.com	2025-07-31	2026-10-07	hn
Qwen3-30B-A3B-Thinking-2507	twitter.com	2025-07-30	2026-10-07	hn
Qwen3-30B-A3B	twitter.com	2025-07-29	2026-10-07	hn
Qwen3-Coder: Agentic coding in the world	qwenlm.github.io official	2025-07-22	2026-10-07	hn
Running Qwen3-30B-A3B on ARM CPU of Single-Board Computer	old.reddit.com	2025-04-30	2026-10-07	hn
Qwen 3 30B-A3B Architecture Explained	pythonalchemist.com	2025-04-29	2026-10-07	exa
Qwen3: Think deeper, act faster	qwenlm.github.io official	2025-04-28	2026-10-07	hn

Papers

2 papers

Papers 2

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).

Qwen3 Technical Report this model

An Yang, Anfeng Li, Baosong Yang +57 · 2025-05-14 · PDF · HF paper page (349 upvotes)
YaRN: Efficient Context Window Extension of Large Language Models cited in card

Bowen Peng, Jeffrey Quesnelle, Honglu Fan +1 · 2023-08-31 · PDF · HF paper page (88 upvotes)

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Sources

4 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:33 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:00 UTC · Last verified 2026-10-25

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