multimodal benchmark
OmniBench Leaderboard
OmniBench is a multimodal benchmark with 1,142 question-answer pairs across 8 task categories that evaluates large language models on visual, acoustic, and textual inputs simultaneously.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
OmniBench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score56.13% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
OmniBench Highlights
The leading models and scores on this benchmark.
The Top AI Models for OmniBench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis omnibench AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ACAlibaba Cloud / Qwen Team
- Score
- 56.13%
- Price
- $0.10 input / $0.40 output per 1M tokens
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures OmniBench, not total model capability
Selection summary
Best AI Models for OmniBench
Qwen2.5-Omni-7B currently leads OmniBench with 56.13%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is OmniBench?
What OmniBench measures and how its scores work.
OmniBench is a multimodal benchmark covering tasks from basic perception to complex inference, with questions requiring integrated understanding of visual, acoustic, and textual inputs.
It measures large language models' ability to recognize, interpret, and reason across visual, acoustic, and textual inputs using Score, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- OmniBench
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about OmniBench.
Which model scores highest on OmniBench?
Qwen2.5-Omni-7B is currently ranked first with 56.13%.
What are the top three models on OmniBench?
The current leaders are Qwen2.5-Omni-7B (56.13%).
Which OmniBench model has the lowest official input price?
Qwen2.5-Omni-7B has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.
Which models are fastest among OmniBench results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.