multimodal benchmark
OmniDocBench 1.5 is a comprehensive benchmark for evaluating multimodal large language models on document understanding tasks, including OCR, document parsing, information extraction, and visual question answering across diverse document types. Lower Overall Edit Distance scores are better.
Updated Aug 7, 2026
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | MI | 91.6% | 100.0% | 16 | C | |
| 2 | AC | 91.4% | 93.3% | 16 | C | |
| 3 | AC | 91.2% | 86.7% | 16 | C | |
| 4 | AC | 89.9% | 80.0% | 16 | C | |
| 5 | AC | 89.8% | 73.3% | 16 | C | |
| 6 | AC | 89.3% | 66.7% | 16 | C | |
| 7 | OP | 89.1% | 60.0% | 16 | C | |
| 8 | AC | 88.9% | 53.3% | 16 | C | |
| 9 | MA | 88.8% | 46.7% | 16 | C | |
| 10 | OP | 87.5% | 40.0% | 16 | C | |
| 11 | OP | 87.4% | 33.3% | 16 | C | |
| 12 | OP | 75.8% | 26.7% | 16 | C | |
| 13 | GO | 31.9% | 20.0% | 16 | C | |
| 14 | GO | 16.4% | 13.3% | 16 | C | |
| 15 | GO | 12.1% | 6.7% | 16 | C | |
| 16 | GO | 11.5% | 0.0% | 16 | C |
Top published rows on the benchmark's original scale.
The top published results on this benchmark's own scale.
Definition and scoring fields from the benchmark registry.
OmniDocBench 1.5 is a comprehensive benchmark for evaluating multimodal large language models on document understanding tasks, including OCR, document parsing, information extraction, and visual question answering across diverse document types. Lower Overall Edit Distance scores are better.
Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
Common questions about OmniDocBench 1.5.
MiniMax M3 is currently ranked first with 91.6%.
OmniDocBench 1.5 is a comprehensive benchmark for evaluating multimodal large language models on document understanding tasks, including OCR, document parsing, information extraction, and visual question answering across diverse document types. Lower Overall Edit Distance scores are better.
Yes. Higher values rank better for this benchmark.
16 unique published model results are currently shown.
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.