Qwen3 235B A22B 2507 Instruct
AlibabaQwenOpen WeightApache 2.0 · Uso Comercial
Descripción
Qwen3-235B-A22B-Instruct-2507 is the updated instruct version of Qwen3-235B-A22B featuring significant improvements in general capabilities including instruction following, logical reasoning, text comprehension, mathematics, science, coding and tool usage. It provides substantial gains in long-tail knowledge coverage across multiple languages and markedly better alignment with user preferences in subjective and open-ended tasks.
Fecha de lanzamiento
2025-07-21
Parámetros
235.0B
Longitud del contexto
262K
Modalidades
text
Radar de capacidades
37
general
49
coding
76
reasoning
49
science
60
agents
0
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Capacidad agéntica | 53 | 52.0 | LS |
| Ranking de codificación | 292 | 40.0 | AA |
| Ranking general | 280 | 46.0 | AA |
| Ciencia | 232 | 52.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
BFCL-v3
70.9%Aut.
Biology
GPQANYU + Cohere + Anthropic (2023)
77.5%Aut.
Chemistry
SuperGPQA
62.6%Aut.
Code
Aider-Polyglot
57.3%Aut.
Communication
WritingBench
85.2%Aut.
Multi-IF
77.5%Aut.
Tau2 Retail
71.3%Aut.
Tau2 Airline
44.0%Aut.
Creativity
Creative Writing v3
87.5%Aut.
Arena-Hard v2
79.2%Aut.
Factuality
SimpleQA
54.3%Aut.
Finance
MMLU-Pro
83.0%Aut.
MMLU-ProX
79.4%Aut.
General
MMLU-Redux
93.1%Aut.
IFEvalGoogle Research (2023)
88.7%Aut.
MultiPL-E
87.9%Aut.
CSimpleQA
84.3%Aut.
Include
79.5%Aut.
LiveBench 20241125
75.4%Aut.
LiveCodeBench v6
51.8%Aut.
Math
AIME 2025
70.3%Aut.
HMMT25
55.4%Aut.
PolyMATH
50.2%Aut.
Reasoning
ZebraLogic
95.0%Aut.
ARC-AGI
41.8%Aut.
Índices de evaluación AA
(Artificial Analysis)Math Index(Artificial Analysis)71.7
Intelligence Index(Artificial Analysis)18.4
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))1.0
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.8
Gpqa(NYU + Cohere + Anthropic (2023))0.8
Aime(MAA (Mathematical Association of America))0.7
Aime 25(MAA (Mathematical Association of America))0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.5
Ifbench(Google Research (2023))0.5
Scicode(UIUC + Argonne National Lab (2024))0.4
Tau2(Sierra + U Toronto + Vector Institute (2025))0.3
Lcr(Artificial Analysis)0.3
Terminalbench Hard(Stanford × Laude Institute (2026))0.2
Hle(Center for AI Safety + Scale AI (2025))0.1
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Legal80
Structured Output80
Instruction Following80
Language80
Finance80
Healthcare80
Biology80
Creativity80
Writing80
Math70
Physics70
Reasoning70
General70
Agents70
Chemistry70
Communication70
Code60
Economics60
Tool Calling60
Multimodal50
Spatial Reasoning50
Factuality50
Vision50
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
7 proveedores
Más barato: CortecsMás caro: GreenPT
ProveedorEntradaSalida
1CortecsMás barato
$0.069
$0.455
2LLM Gateway
$0.09
$0.58
3Venice AI
$0.15
$0.75
4302.AI
$0.29
$1.143
5AlibabaPRINCIPAL
$0.7
$2.8
6Scaleway
$0.75
$2.25
7GreenPT
$1.026
$3.078
Comparar precios entre diferentes proveedores de API para este modelo.