The LLM benchmark aggregator.

Qwen3 30B A3B Thinking

Alibaba · 31B · A3B · open weights

Strongest in Core abilities (#85 of 204, on 1 of its 3 boards), weakest in Agents (#266 of 267). Above par in 2 of 4 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and GPT-6 Astra and ahead of GPT-4.1 and Kimi K2.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Core abilities50.7−16.7#85/2041/3

General intelligence51.1−19#86/2041/3

Agents36.9−31.2#266/2672/5

Knowledge work32.9−40.7#167/1772/2

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for Qwen3 30B A3B Thinking, left for the other.

Ministral 3 3Bwon 4 · lost 0

K2 Horizon 0.9Bwon 3 · lost 1

Gemma 3 27B Itwon 3 · lost 1

UI-TARS 1.5 7Bwon 2 · lost 1

Gemma 3 4B Itwon 2 · lost 1

Command Awon 2 · lost 1

Qwen2.5 Vl 72B Instructwon 2 · lost 1

Nemotron 3 Superwon 2 · lost 1

Mistral Smallwon 2 · lost 1

Gemini 2.5 Flash Litewon 2 · lost 1

Mistral Mediumwon 2 · lost 1

Kimi K2won 2 · lost 1

GPT-4.1won 2 · lost 1

Qwen3.6 27Bwon 2 · lost 2

Grok 4.3won 2 · lost 2

Gemini 3.5 Flash Litewon 2 · lost 2

GPT-5.4 Miniwon 2 · lost 2

GPT-5.4 Nanowon 2 · lost 2

Kimi K2.7 Codewon 2 · lost 2

Nemotron 3 Ultra 550B A55Bwon 2 · lost 2

Qwen3.6 Pluswon 2 · lost 2

Ministral 3 8Bwon 2 · lost 2

Kimi K2.6won 2 · lost 2

Grok Build 0.1won 2 · lost 2

Ministral 3 14Bwon 2 · lost 2

Celeris 1won 2 · lost 2

GPT-4o Miniwon 2 · lost 2

Mistral Small 4won 2 · lost 2

Qwen3 Coder Nextwon 2 · lost 2

Granite 4.2 3Bwon 2 · lost 2

North Mini Codewon 2 · lost 2

GPT-4.1 Nanowon 2 · lost 2

Mistral Medium 3.5won 2 · lost 2

Granite 4.2 8Bwon 2 · lost 2

Trinity Largewon 2 · lost 2

MiniMax M3won 2 · lost 2

MiniCPM5 2Bwon 2 · lost 2

Mercury 2.5won 2 · lost 2

Mistral Large 3won 2 · lost 2

Nemotron 3.5 Lightningwon 2 · lost 2

Command A+won 2 · lost 2

Llama 4 Scout Instructwon 2 · lost 2

GPT OSS 20Bwon 2 · lost 2

GPT-5.6 Lunawon 2 · lost 2

K2 Horizon 3.7Bwon 2 · lost 2

Qwen3.5 122B A10Bwon 2 · lost 2

Ring 2.6.1Twon 2 · lost 2

Claude Haiku 4.5won 2 · lost 2

Muse Glimmerwon 2 · lost 2

Qwen3.6 35B A3Bwon 2 · lost 2

LongCat 2.0won 2 · lost 2

Inklingwon 2 · lost 2

GPT OSS 120Bwon 2 · lost 2

GLM-5.2won 2 · lost 2

Claude Sonnet 4.6won 2 · lost 2

GLM-4.6won 2 · lost 2

K2 Horizon 7Bwon 2 · lost 2

Muse Spark 1.1won 2 · lost 2

GPT-4.1 Miniwon 2 · lost 2

Qwen3 32Bwon 2 · lost 2

Qwen3 14Bwon 2 · lost 2

Ling 3.0 Flash Finwon 2 · lost 2

Nemotron 3 Ultrawon 2 · lost 2

Ling 3.0 Flash VLwon 2 · lost 2

K2 Horizon MoVA 36B A4Bwon 2 · lost 2

Qwen3.7 Pluswon 2 · lost 2

Hy3won 2 · lost 2

DeepSeek V3.2won 2 · lost 2

DeepSeek V3won 2 · lost 2

Apodex 1.1won 2 · lost 2

Mimo V2.5 Prowon 2 · lost 2

GPT-5.5 Instantwon 2 · lost 2

Gemini 3.6 Flashwon 2 · lost 2

Granite 4.2 30Bwon 1 · lost 2

Gemma 4 12Bwon 1 · lost 2

Qwen3.5 9Bwon 1 · lost 2

GPT-6 Lunawon 1 · lost 3

GLM-5.3 Flashwon 1 · lost 3

Claude Sonnet 5won 1 · lost 3

DeepSeek V4 Flashwon 1 · lost 3

Llama 4 Maverick Instructwon 1 · lost 3

Qwen3.7 Maxwon 1 · lost 3

Gemini 3.5 Flashwon 1 · lost 3

Gemini 2.5 Flashwon 0 · lost 3

Claude Opus 4.5won 0 · lost 3

GPT-5.2won 0 · lost 3

GPT-5 Nanowon 0 · lost 3

O4 Miniwon 0 · lost 3

O3won 0 · lost 3

Qwen3 235B A22B Instructwon 0 · lost 3

Grok 4won 0 · lost 3

Gemini 3 Prowon 0 · lost 3

DeepSeek V3.1 Terminuswon 0 · lost 4

Claude Sonnet 4.5won 0 · lost 4

K2 Horizon 375B A23Bwon 0 · lost 4

Qwen3.8 27Bwon 0 · lost 4

Qwen3.5 397B A17Bwon 0 · lost 4

GLM-5.3won 0 · lost 4

Gemma 4 31Bwon 0 · lost 4

Claude Opus 4.8won 0 · lost 4

Qwen3.8 Flash Nextwon 0 · lost 4

Qwen3 Next 80B A3B Thinkingwon 0 · lost 4

Gemini 3.1 Flash Litewon 0 · lost 4

DeepSeek V4 Prowon 0 · lost 4

Muse Spark 1.2won 0 · lost 4

Claude Opus 4.7won 0 · lost 4

GPT-5.6 Terrawon 0 · lost 4

Claude Opus 5won 0 · lost 4

DeepSeek R1won 0 · lost 4

DeepSeek V4 Flash Visionwon 0 · lost 4

Gemini 2.5 Prowon 0 · lost 4

GPT-5 Miniwon 0 · lost 4

Qwen3.8 2.4T A95Bwon 0 · lost 4

Gemini 3.8 Flashwon 0 · lost 4

GPT-5.4won 0 · lost 4

GPT-5won 0 · lost 4

Claude Sonnet 4won 0 · lost 4

Grok 4.5won 0 · lost 4

Gemini 3.7 Flashwon 0 · lost 4

Grok 4.6won 0 · lost 4

Step 5won 0 · lost 4

DeepSeek V4.1 Flashwon 0 · lost 4

Grok 4.7won 0 · lost 4

Mimo V2.6 Prowon 0 · lost 4

Qwen3.8 Maxwon 0 · lost 4

Kimi K2.5won 0 · lost 4

Gemini 3.1 Prowon 0 · lost 4

Kimi K3won 0 · lost 4

GPT-6 Solwon 0 · lost 4

GPT-5.6 Solwon 0 · lost 4

Claude Opus 5.5won 0 · lost 4

Muse Spark 1.3won 0 · lost 4

GPT-5.5won 0 · lost 4

Claude Fable 5.1won 0 · lost 4

GPT-6 Astrawon 0 · lost 4

Claude Fable 5won 0 · lost 4

§ 3 · Sources

Where the numbers come from

3 publications, 3 figures. Every one links to the page it was read from.

GDPval-AA ↗1 measureread 2026-09-27

GDPval-AA 54

AA-Briefcase ↗1 measureread 2026-09-27

AA-Briefcase 8

Kagi LLM Benchmark ↗1 measureread 2026-09-27

Kagi LLM Benchmark 54.9%

Badge

[![PublicAI Index](https://publicai.io/model-index/badge?model=qwen3-30b-a3b-thinking)](https://publicai.io/model-index/m/qwen3-30b-a3b-thinking)