multimodal benchmark
OmniDocBench
OmniDocBench evaluates multimodal models on document understanding tasks such as OCR, layout parsing, and structured document comprehension.
Updated Aug 11, 2026
Models2
Model coverage2
MetricScore
EvidenceB
OmniDocBench Ranking
Higher score ranks better on this benchmark.
| 01 | MA | 91.1% | 100.0% | 2 | C | |
| 02 | XI | 87.2% | 0.0% | 2 | C |
OmniDocBench Score Distribution
A closer view of the leading scores on this benchmark.
OmniDocBench Highlights
The leading models and scores on this benchmark.
What is OmniDocBench?
What OmniDocBench measures and how its scores work.
OmniDocBench evaluates multimodal models on document understanding tasks such as OCR, layout parsing, and structured document comprehension.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- OmniDocBench
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- omnidocbench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about OmniDocBench.
Which model scores highest on OmniDocBench?
Kimi K3 is currently ranked first with 91.1%.
What does OmniDocBench measure?
OmniDocBench evaluates multimodal models on document understanding tasks such as OCR, layout parsing, and structured document comprehension.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.