Qwen2.5-Omni-7B
Alibaba Cloud / Qwen TeamQwen開源權重Apache 2.0 · 商用許可
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.
發布日期
2025-03-27
參數規模
7.0B
上下文長度
33K
支援模態
audio, image, text, video
能力雷達圖
60
general
80
coding
60
reasoning
26
science估算
66
agents
80
multimodal
缺少專門科學評測時，Science 由 LLM Stats 科學得分或推理能力估算。
排行榜排名
| 領域 | #排名 | 分數 | 來源 |
|---|---|---|---|
| 多模態榜 | 83 | 25.0 | LS |
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Audio
VocalSound
93.9%自報
GiantSteps Tempo
88.0%自報
MMAU Music
69.2%自報
MMAU Sound
67.9%自報
MMAU
65.6%自報
MMAU Speech
59.8%自報
OmniBench Music
52.8%自報
CoVoST2 en-zh
0.41 / 100自報
MusicCaps
32.8%自報
Common Voice 15
0.08 / 100自報
Biology
GPQANYU + Cohere + Anthropic (2023)
30.8%自報
Code
HumanEvalOpenAI (2021)
78.7%自報
Communication
VoiceBench Avg
74.1%自報
MM-MT-Bench
0.06 / 100自報
Creativity
Meld
57.0%自報
Finance
MMLU-Pro
47.0%自報
General
MBPP
0.73 / 100自報
MMLU-Redux
71.0%自報
MultiPL-E
65.8%自報
MMStar
64.0%自報
MME-RealWorld
61.6%自報
MMMU
59.2%自報
MMMU-Pro
36.6%自報
LiveBench
29.6%自報
NMOS
0.05 / 100自報
Grounding
PointGrounding
66.5%自報
Healthcare
CRPErelation
76.5%自報
Image To Text
DocVQADocVQA (2020)
95.2%自報
TextVQA
84.4%自報
OCRBench_V2
57.8%自報
Language
FLEURS
95.9%自報
Long Context
EgoSchema
68.6%自報
Math
GSM8k
88.7%自報
MATH
71.5%自報
MathVista
67.9%自報
MathVision
25.0%自報
Multimodal
ChartQAMasry et al. (2022)
85.3%自報
AI2D
83.2%自報
MMBench-V1.1
81.8%自報
VideoMME w sub.
72.4%自報
MVBench
70.3%自報
MuirBench
59.2%自報
OmniBench
56.1%自報
Spatial Reasoning
RealWorldQA
70.3%自報
Vision
ODinW
42.4%自報
AA 評測指數
(Artificial Analysis)暫無 AA 評測資料
LLM Stats 分類評分
(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
定價
輸入價格$0.1 / 1M tokens
輸出價格$0.4 / 1M tokens
混合價格(3:1)$0.175 / 1M tokens
速度
暫無速度資料
供應商價格排行
供應商價格排行
3 個供應商
最便宜: Alibaba (China)最貴: Alibaba
供應商輸入輸出
1Alibaba (China)最便宜
$0.087
$0.345
2Alibaba Cloud / Qwen Team主要
$0.1
$0.4
3Alibaba
$0.1
$0.4
比較該模型在不同 API 供應商之間的定價。