OmniBench

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.

Released

Unknown

Readiness

Paper only

Primary field

General AI

Benchmark Radar records only publicly supported details and links back to primary sources for verification.