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Qwen3 30B A3B 2507 (Reasoning)

AlibabaQwenOpen WeightApache 2.0 · Commercial OK

Description

Qwen3-30B-A3B is a smaller Mixture-of-Experts (MoE) model from the Qwen3 series by Alibaba, with 30.5 billion total parameters and 3.3 billion activated parameters. Features hybrid thinking/non-thinking modes, support for 119 languages, and enhanced agent capabilities. It aims to outperform previous models like QwQ-32B while using significantly fewer activated parameters.

Release Date
2025-07-30
Parameters
30.5B
Context Length
131K
Modalities
text

Capability Radar

31
general
35
coding
73
reasoning
45
science
70
agents
0
multimodal

Rankings

Domain#RankScoreSource
Code Ranking381
37.0
AA
General Ranking352
39.0
AA
Science336
43.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Chat

Multi-IF72.2%SR

General

Arena Hard91.0%SR
BFCL69.1%SR

Math

AIME 202480.4%SR
LiveBench74.3%SR
AIME 202570.9%SR

Reasoning

GPQANYU + Cohere + Anthropic (2023)65.8%SR
LiveCodeBench62.6%SR

AA Evaluation Indices

(Artificial Analysis)
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
97.6
Aime(MAA (Mathematical Association of America))
90.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
80.5
Gpqa(NYU + Cohere + Anthropic (2023))
70.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))
70.7
Lcr(Artificial Analysis)
61.3
Aime 25(MAA (Mathematical Association of America))
56.3
Math Index(Artificial Analysis)
56.3
Ifbench(Google Research (2023))
50.7
Scicode(UIUC + Argonne National Lab (2024))
33.0
Tau2(Sierra + U Toronto + Vector Institute (2025))
28.1
Coding Index(Artificial Analysis)
12.1
Hle(Center for AI Safety + Scale AI (2025))
10.3
Intelligence Index(Artificial Analysis)
9.8
Tau Banking
5.4
Terminalbench Hard(Stanford × Laude Institute (2026))
5.3
Terminalbench V2 1
1.5
Terminalbench V4 0
0.0

LLM Stats Category Scores

(LLM Stats (zeroeval))
Creativity
90
Writing
90
Chat
80
Math
80
Instruction Following
70
Language
70
Physics
70
Reasoning
70
Structured Output
70
General
70
Biology
70
Chemistry
70
Communication
70
Tool Calling
70
Code
60

Pricing

Input Price$0.2 / 1M tokens
Output Price$2.4 / 1M tokens
Blended Price (3:1)$0.75 / 1M tokens

Speed

Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s

Provider Price Ranking

Provider Price Ranking

4 providers

Cheapest: NovitaMost Expensive: Alibaba
ProviderInputOutput
1NovitaCheapest
$0
$0
2DeepInfra
$0
$0
3Fireworks
$0
$0
4AlibabaPRIMARY
$0.2
$2.4

Compare pricing across different API providers for this model.

External Sources

LLM StatsArtificial Analysis