Qwen2.5-Omni Technical Report

Benchmark Model Rank Results
audio-visual-question-answering-on-omnibenchQwen2.5-Omni-7B#2Accuracy: 56.13
visual-question-answering-vqa-on-textvqa-valQwen2.5-Omni-7B#8Accuracy: 84.4
visual-question-answering-on-docvqa-testQwen2.5-Omni-7B#9ANLS: 0.952
zero-shot-video-question-answer-on-egoschema-fullsetQwen2.5-Omni#10Accuracy: 68.6
code-generation-on-multipl-eQwen2.5-Omni-7B#12Accuracy: 65.8
visual-question-answering-on-mm-vetQwen2.5-Omni-7B#17GPT-4 score: 66.8
vision-language-understanding-on-mmbench-v1-1Qwen2.5-Omni-7B#18Accuracy: 81.8
video-question-answering-on-video-mme-with-subtitlesQwen2.5-Omni-7B (w/ subtitles)#21Accuracy: 72.4
math-word-problem-solving-on-mathQwen2.5-Omni-7B#29Accuracy: 71.5
video-question-answering-on-mvbenchQwen2.5-Omni-7B#31Avg.: 70.3
multi-task-language-understanding-on-mmlu-reduxQwen2.5-Omni-7B#32Accuracy: 71.0
chart-question-answering-on-chartqaQwen2.5-Omni-7B#451:1 Accuracy: 85.3
code-generation-on-mbppQwen2.5-Omni-7B#48Accuracy: 73.2
visual-question-answering-vqa-on-realworldqaQwen2.5-Omni-7B#52Accuracy: 70.3
multimodal-reasoning-on-mmmuQwen2.5-Omni-7B#64Accuracy: 59.2
code-generation-on-humanevalQwen2.5-Omni-7B#65Pass@1: 78.7
vision-language-understanding-on-mmstarQwen2.5-Omni-7B#68Accuracy: 64.0
multimodal-reasoning-on-mathvistaQwen2.5-Omni-7B#74Accuracy: 67.9
arithmetic-reasoning-on-gsm8kQwen2.5-Omni-7B#88Accuracy: 88.7
multi-task-language-understanding-on-mmlu-proQwen2.5-Omni-7B#121Accuracy: 47.0
audio-understanding-reasoning-on-mmauQwen2.5-Omni (8.2B)–Accuracy (Avg, Test-mini): 71.50