Qwen2.5 Instruct 72B
AlibabaQwenOpen WeightQwen · Uso Comercial
Descripción
Qwen2.5-72B-Instruct is an instruction-tuned 72 billion parameter language model, part of the Qwen2.5 series. It is designed to follow instructions, generate long texts (over 8K tokens), understand structured data (e.g., tables), and generate structured outputs, especially JSON. The model supports multilingual capabilities across over 29 languages.
Fecha de lanzamiento
2024-09-19
Parámetros
72.7B
Longitud del contexto
131K
Modalidades
text
Radar de capacidades
26
general
28
coding
29
reasoning
35
science
29
agents
0
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 506 | 19.0 | AA |
| Ranking general | 418 | 33.0 | AA |
| Ciencia | 510 | 25.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Chat
MT-Bench
0.94 / 100Aut.
IFEvalGoogle Research (2023)
84.1%Aut.
General
AlignBench
81.6%Aut.
Arena Hard
81.2%Aut.
MultiPL-E
75.1%Aut.
Language
MMLU-Redux
86.8%Aut.
MMLU-Pro
71.1%Aut.
Math
GSM8k
95.8%Aut.
MATH
83.1%Aut.
LiveBench
52.3%Aut.
Reasoning
MBPP
0.88 / 100Aut.
HumanEvalOpenAI (2021)
86.6%Aut.
LiveCodeBench
55.5%Aut.
GPQANYU + Cohere + Anthropic (2023)
49.0%Aut.
Índices de evaluación AA
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))85.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))72.0
Gpqa(NYU + Cohere + Anthropic (2023))49.1
Ifbench(Google Research (2023))36.9
Tau2(Sierra + U Toronto + Vector Institute (2025))34.5
Livecodebench(UC Berkeley + MIT + Cornell (2024))27.6
Aime(MAA (Mathematical Association of America))16.0
Aime 25(MAA (Mathematical Association of America))14.0
Math Index(Artificial Analysis)14.0
Intelligence Index(Artificial Analysis)7.7
Terminalbench Hard(Stanford × Laude Institute (2026))4.5
Hle(Center for AI Safety + Scale AI (2025))3.6
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Chat90
Roleplay90
Communication90
Creativity90
Instruction Following80
Language80
Math80
Reasoning80
Structured Output80
General80
Writing80
Legal70
Finance70
Healthcare70
Code70
Physics50
Biology50
Chemistry50
Precios
Precio de entrada$0.475 / 1M tokens
Precio de salida$0.495 / 1M tokens
Precio mixto (3:1)$0.48 / 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: DeepInfraMás caro: Alibaba (China)
ProveedorEntradaSalida
1DeepInfraMás barato
$0
$0
2AlibabaPRINCIPAL
$0.475
$0.495
3Alibaba (China)
$0.574
$1.721
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