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Qwen3 30B A3B 2507 (Reasoning)

AlibabaQwenOpen WeightApache 2.0 · Uso Comercial

Descripción

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.

Fecha de lanzamiento
2025-07-30
Parámetros
30.5B
Longitud del contexto
131K
Modalidades
text

Radar de capacidades

34
general
35
coding
73
reasoning
46
science
70
agents
0
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Ranking de codificación301
37.0
AA
Ranking general297
43.0
AA
Ciencia265
48.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)65.8%Aut.

Code

LiveCodeBench62.6%Aut.

Communication

Multi-IF72.2%Aut.

Creativity

Arena Hard91.0%Aut.

General

LiveBench74.3%Aut.
BFCL69.1%Aut.

Math

AIME 202480.4%Aut.
AIME 202570.9%Aut.

Índices de evaluación AA

(Artificial Analysis)
Math Index(Artificial Analysis)
56.3
Intelligence Index(Artificial Analysis)
14.6
Coding Index(Artificial Analysis)
12.1
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
1.0
Aime(MAA (Mathematical Association of America))
0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.7
Lcr(Artificial Analysis)
0.6
Aime 25(MAA (Mathematical Association of America))
0.6
Ifbench(Google Research (2023))
0.5
Scicode(UIUC + Argonne National Lab (2024))
0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.3
Hle(Center for AI Safety + Scale AI (2025))
0.1
Tau Banking
0.1
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1
Terminalbench V2 1
0.0

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Creativity
90
Writing
90
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

Precios

Precio de entrada$0.2 / 1M tokens
Precio de salida$2.4 / 1M tokens
Precio mixto (3:1)$0.75 / 1M tokens

Velocidad

Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

4 proveedores

Más barato: DeepInfraMás caro: Alibaba
ProveedorEntradaSalida
1DeepInfraMás barato
$0
$0
2Novita
$0
$0
3Fireworks
$0
$0
4AlibabaPRINCIPAL
$0.2
$2.4

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas

LLM StatsArtificial Analysis