Benchmark
OmniBench
multimodal
reasoning
multimodal
A novel multimodal benchmark designed to evaluate large language models' ability to recognize, interpret, and reason across visual, acoustic, and textual inputs simultaneously. Comprises 1,142 question-answer pairs covering 8 task categories from basic perception to complex inference, with a unique constraint that accurate responses require integrated understanding of all three modalities.
语言EN
满分1
参评模型1
模型排名
| 名次 | 模型 | 机构 | 分数 | 来源 |
|---|---|---|---|---|
| 1 | Qwen2.5-Omni-7B | Alibaba Cloud / Qwen Team | 56.1 | 来源 ↗ |