Qwen2.5-Omni-7B
Alibaba Cloud / Qwen TeamQwenOpen WeightApache 2.0 · Uso Comercial
Descripción
Qwen2.5-Omni is the flagship end-to-end multimodal model in the Qwen series. It processes diverse inputs including text, images, audio, and video, delivering real-time streaming responses through text generation and natural speech synthesis using a novel Thinker-Talker architecture.
Fecha de lanzamiento
2025-03-27
Parámetros
7.0B
Longitud del contexto
33K
Modalidades
audio, image, text, video
Radar de capacidades
60
general
80
coding
60
reasoning
26
scienceest.
66
agents
80
multimodal
Science se estima a partir de las puntuaciones científicas de LLM Stats o del razonamiento cuando no hay benchmarks científicos dedicados.
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking multimodal | 144 | 22.0 | LS |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Audio
VocalSound
93.9%Aut.
GiantSteps Tempo
88.0%Aut.
MMAU Music
69.2%Aut.
MMAU Sound
67.9%Aut.
MMAU
65.6%Aut.
MMAU Speech
59.8%Aut.
CoVoST2 en-zh
0.41 / 100Aut.
MusicCaps
32.8%Aut.
Common Voice 15
0.08 / 100Aut.
Chat
VoiceBench Avg
74.1%Aut.
MM-MT-Bench
0.06 / 100Aut.
General
MultiPL-E
65.8%Aut.
NMOS
0.05 / 100Aut.
Healthcare
CRPErelation
76.5%Aut.
Language
FLEURS
95.9%Aut.
MMLU-Redux
71.0%Aut.
MMLU-Pro
47.0%Aut.
Math
GSM8k
88.7%Aut.
MATH
71.5%Aut.
MathVista
67.9%Aut.
LiveBench
29.6%Aut.
MathVision
25.0%Aut.
Multimodal
MMMU
59.2%Aut.
Meld
57.0%Aut.
OmniBench
56.1%Aut.
OmniBench Music
52.8%Aut.
Reasoning
ChartQAMasry et al. (2022)
85.3%Aut.
HumanEvalOpenAI (2021)
78.7%Aut.
MBPP
0.73 / 100Aut.
GPQANYU + Cohere + Anthropic (2023)
30.8%Aut.
Vision
DocVQADocVQA (2020)
95.2%Aut.
TextVQA
84.4%Aut.
AI2D
83.2%Aut.
MMBench-V1.1
81.8%Aut.
VideoMME w sub.
72.4%Aut.
RealWorldQA
70.3%Aut.
MVBench
70.3%Aut.
EgoSchema
68.6%Aut.
PointGrounding
66.5%Aut.
MMStar
64.0%Aut.
MME-RealWorld
61.6%Aut.
MuirBench
59.2%Aut.
OCRBench_V2
57.8%Aut.
ODinW
42.4%Aut.
MMMU-Pro
36.6%Aut.
Índices de evaluación AA
(Artificial Analysis)No hay datos de evaluación AA disponibles
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Speech To Text90
Image To Text80
Code80
Language70
Long Context70
Reasoning70
Safety70
Spatial Reasoning70
Audio70
Video70
Vision70
Math60
Multimodal60
General60
Legal50
Finance50
Healthcare50
Chat40
Communication40
Physics30
Biology30
Chemistry30
Precios
Precio de entrada$0.1 / 1M tokens
Precio de salida$0.4 / 1M tokens
Precio mixto (3:1)$0.175 / 1M tokens
Velocidad
No hay datos de velocidad disponibles
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
3 proveedores
Más barato: Alibaba (China)Más caro: Alibaba
ProveedorEntradaSalida
1Alibaba (China)Más barato
$0.087
$0.345
2Alibaba Cloud / Qwen TeamPRINCIPAL
$0.1
$0.4
3Alibaba
$0.1
$0.4
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