Qwen2.5-Omni-7B
Alibaba Cloud / Qwen TeamQwen开源权重Apache 2.0 · 商用许可
描述
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.
发布日期
2025-03-27
参数规模
7.0B
上下文长度
33K
支持模态
audio, image, text, video
能力雷达图
60
general
80
coding
60
reasoning
26
science估算
66
agents
80
multimodal
缺少专门科学评测时，Science 由 LLM Stats 科学得分或推理能力估算。
排行榜排名
| 领域 | #排名 | 分数 | 来源 |
|---|---|---|---|
| 多模态榜 | 83 | 25.0 | LS |
基准测试分数 (LLM Stats)
(LLM Stats (zeroeval))Audio
VocalSound
93.9%自报
GiantSteps Tempo
88.0%自报
MMAU Music
69.2%自报
MMAU Sound
67.9%自报
MMAU
65.6%自报
MMAU Speech
59.8%自报
OmniBench Music
52.8%自报
CoVoST2 en-zh
0.41 / 100自报
MusicCaps
32.8%自报
Common Voice 15
0.08 / 100自报
Biology
GPQANYU + Cohere + Anthropic (2023)
30.8%自报
Code
HumanEvalOpenAI (2021)
78.7%自报
Communication
VoiceBench Avg
74.1%自报
MM-MT-Bench
0.06 / 100自报
Creativity
Meld
57.0%自报
Finance
MMLU-Pro
47.0%自报
General
MBPP
0.73 / 100自报
MMLU-Redux
71.0%自报
MultiPL-E
65.8%自报
MMStar
64.0%自报
MME-RealWorld
61.6%自报
MMMU
59.2%自报
MMMU-Pro
36.6%自报
LiveBench
29.6%自报
NMOS
0.05 / 100自报
Grounding
PointGrounding
66.5%自报
Healthcare
CRPErelation
76.5%自报
Image To Text
DocVQADocVQA (2020)
95.2%自报
TextVQA
84.4%自报
OCRBench_V2
57.8%自报
Language
FLEURS
95.9%自报
Long Context
EgoSchema
68.6%自报
Math
GSM8k
88.7%自报
MATH
71.5%自报
MathVista
67.9%自报
MathVision
25.0%自报
Multimodal
ChartQAMasry et al. (2022)
85.3%自报
AI2D
83.2%自报
MMBench-V1.1
81.8%自报
VideoMME w sub.
72.4%自报
MVBench
70.3%自报
MuirBench
59.2%自报
OmniBench
56.1%自报
Spatial Reasoning
RealWorldQA
70.3%自报
Vision
ODinW
42.4%自报
AA 评测指数
(Artificial Analysis)暂无 AA 评测数据
LLM Stats 分类评分
(LLM Stats (zeroeval))Speech To Text100
Image To Text80
Code80
Long Context70
Spatial Reasoning70
Language70
Audio70
Video70
Vision70
Math60
Multimodal60
Reasoning60
General60
Legal50
Finance50
Healthcare50
Physics30
Biology30
Chemistry30
Communication10
定价
输入价格$0.1 / 1M tokens
输出价格$0.4 / 1M tokens
混合价格(3:1)$0.175 / 1M tokens
速度
暂无速度数据
供应商价格排行
供应商价格排行
3 个供应商
最便宜: Alibaba (China)最贵: Alibaba
供应商输入输出
1Alibaba (China)最便宜
$0.087
$0.345
2Alibaba Cloud / Qwen Team主要
$0.1
$0.4
3Alibaba
$0.1
$0.4
比较该模型在不同 API 供应商之间的定价。