multimodal benchmark
OmniDocBench 1.5 Leaderboard
OmniDocBench 1.5 is a multimodal benchmark for evaluating large language models on document understanding tasks across diverse document types.
Updated Sep 5, 2026
Models18
Model coverage18
MetricScore
EvidenceB
OmniDocBench 1.5 Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score91.60% | Percentile100.00% | Participants18 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score91.40% | Percentile94.12% | Participants18 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score91.20% | Percentile88.24% | Participants18 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score91.10% | Percentile82.35% | Participants18 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score89.90% | Percentile76.47% | Participants18 | EvidenceC | Evaluated |
| Rank06 | ModelAC | Score89.80% | Percentile70.59% | Participants18 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score89.30% | Percentile64.71% | Participants18 | EvidenceC | Evaluated |
| Rank08 | ModelOP | Score89.10% | Percentile58.82% | Participants18 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score88.90% | Percentile52.94% | Participants18 | EvidenceC | Evaluated |
| Rank10 | ModelMA | Score88.80% | Percentile47.06% | Participants18 | EvidenceC | Evaluated |
| Rank11 | ModelOP | Score87.50% | Percentile41.18% | Participants18 | EvidenceC | Evaluated |
| Rank12 | ModelOP | Score87.37% | Percentile35.29% | Participants18 | EvidenceC | Evaluated |
| Rank13 | ModelOP | Score75.81% | Percentile29.41% | Participants18 | EvidenceC | Evaluated |
| Rank14 | ModelME | Score75.80% | Percentile23.53% | Participants18 | EvidenceC | Evaluated |
| Rank15 | ModelGO | Score31.90% | Percentile17.65% | Participants18 | EvidenceC | Evaluated |
| Rank16 | ModelGO | Score16.40% | Percentile11.76% | Participants18 | EvidenceC | Evaluated |
| Rank17 | ModelGO | Score12.10% | Percentile5.88% | Participants18 | EvidenceC | Evaluated |
| Rank18 | ModelGO | Score11.50% | Percentile0.00% | Participants18 | EvidenceC | Evaluated |
OmniDocBench 1.5 Highlights
The leading models and scores on this benchmark.
OmniDocBench 1.5 Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for OmniDocBench 1.5
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is OmniDocBench 1.5?
What OmniDocBench 1.5 measures and how its scores work.
OmniDocBench 1.5 is a benchmark for evaluating multimodal large language models on document understanding tasks.
It measures performance on OCR, document parsing, information extraction, and visual question answering; lower Overall Edit Distance scores are better.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- OmniDocBench 1.5
- 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 OmniDocBench 1.5.
Which model scores highest on OmniDocBench 1.5?
MiniMax M3 is currently ranked first with 91.60%.
What are the top three models on OmniDocBench 1.5?
The current leaders are MiniMax M3 (91.60%), Qwen3.7-Plus (91.40%), and Qwen3.6 Plus (91.20%).
Which OmniDocBench 1.5 model has the lowest official input price?
GPT-5.4 nano has the lowest matched official input price at $0.20 input / $1.3 output per 1M tokens.
Which models are fastest among OmniDocBench 1.5 results?
The fastest matched records are GPT-5.5 Instant (206.89 tok/s via OpenAI), Gemini 3 Flash (124.32 tok/s via Google), and GPT-5.4 nano (118.31 tok/s via OpenAI).
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.