Qwen3 235B A22B (Non-reasoning)
AlibabaQwenOpen WeightApache 2.0 · Uso Comercial
Descripción
Qwen3 235B A22B is a large language model developed by Alibaba, featuring a Mixture-of-Experts (MoE) architecture with 235 billion total parameters and 22 billion activated parameters. It achieves competitive results in benchmark evaluations of coding, math, general capabilities, and more, compared to other top-tier models.
Fecha de lanzamiento
2025-04-28
Parámetros
235.0B
Longitud del contexto
131K
Modalidades
text
Radar de capacidades
29
general
33
coding
40
reasoning
39
science
70
agents
0
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 460 | 15.0 | AA |
| Ranking general | 363 | 35.0 | AA |
| Ciencia | 352 | 39.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
47.5%Aut.
Chemistry
SuperGPQA
44.1%Aut.
Code
EvalPlus
0.78 / 100Aut.
LiveCodeBench
70.7%Aut.
Aider
61.8%Aut.
Creativity
Arena Hard
95.6%Aut.
Finance
MMLU
87.8%Aut.
MMLU-Pro
68.2%Aut.
General
MMLU-Redux
87.4%Aut.
MMMLU
86.7%Aut.
MBPP
0.81 / 100Aut.
LiveBench
77.1%Aut.
Include
73.5%Aut.
MultiLF
71.9%Aut.
BFCL
70.8%Aut.
MultiPL-E
65.9%Aut.
Language
BBH
88.9%Aut.
Math
GSM8k
94.4%Aut.
AIME 2024
85.7%Aut.
MGSM
83.5%Aut.
AIME 2025
81.5%Aut.
MATH
71.8%Aut.
Reasoning
CRUX-O
0.79 / 100Aut.
Índices de evaluación AA
(Artificial Analysis)Math Index(Artificial Analysis)23.7
Intelligence Index(Artificial Analysis)10.8
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.8
Gpqa(NYU + Cohere + Anthropic (2023))0.6
Ifbench(Google Research (2023))0.4
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.3
Aime(MAA (Mathematical Association of America))0.3
Scicode(UIUC + Argonne National Lab (2024))0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))0.3
Aime 25(MAA (Mathematical Association of America))0.2
Terminalbench Hard(Stanford × Laude Institute (2026))0.1
Hle(Center for AI Safety + Scale AI (2025))0.0
Lcr(Artificial Analysis)0.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Creativity100
Writing100
Math80
Reasoning80
Language80
General80
Legal70
Finance70
Healthcare70
Code70
Tool Calling70
Physics50
Biology50
Chemistry50
Economics40
Precios
Precio de entrada$0.7 / 1M tokens
Precio de salida$2.8 / 1M tokens
Precio mixto (3:1)$1.225 / 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
3 proveedores
Más barato: Alibaba (China)Más caro: Alibaba
ProveedorEntradaSalida
1Alibaba (China)Más barato
$0.287
$1.147
2302.AI
$0.29
$2.86
3AlibabaPRINCIPAL
$0.7
$2.8
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