OmniDocBench 1.5
OmniDocBench 1.5 - document understanding and parsing benchmark.
Category
Document Understanding
Score type
percent
Scale
100%
higher is better
Models tested
16
What is OmniDocBench 1.5?
OmniDocBench 1.5 is a benchmark for reading and parsing real documents. The official description says: "OmniDocBench 1.5 - document understanding and parsing benchmark". Below we describe in simple words what benchmarks of this type generally examine.
What does it test?
OmniDocBench 1.5 measures reading and parsing real documents. In detail, it checks:
- extracting structured text from scans, PDFs and photos
- keeping tables, headings and reading order intact
- answering comprehension questions about the document content
- handling noisy layouts, handwriting and multi-page documents
How to read the score
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.
Official methodology note: OmniDocBench 1.5 - document understanding and parsing benchmark.
Frequently asked questions
What is the OmniDocBench 1.5 benchmark?
OmniDocBench 1.5 is a benchmark for reading and parsing real documents. The official description says: 'OmniDocBench 1.5 - document understanding and parsing benchmark'. Below we describe in simple words what benchmarks of this type generally examine.
What does OmniDocBench 1.5 test?
OmniDocBench 1.5 mainly measures reading and parsing real documents. Concretely, it checks: extracting structured text from scans, PDFs and photos; keeping tables, headings and reading order intact; answering comprehension questions about the document content.
How is the OmniDocBench 1.5 score calculated?
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.
Where do I get OmniDocBench 1.5 data and scores?
The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/omnidocbench-1-5/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Benchmark dataset
The question/task data itself — download and evaluate locally
Benchmark metadata (JSON)
This page's benchmark record from the Open LLM Radar API
All model scores (JSON download)
Full score table as JSON; paginate with limit/offset params
Open LLM Radar API docs
Swagger UI to explore and reuse all radar API endpoints
Model scores 16 models tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
MiniMax-M3
MiniMaxAI
|
91.6%
|
11.06.2026 | MiniMax-M3 model card benchmark table | Unverified |
| 2 |
Qwen3.8-27B
Qwen Team (Alibaba Cloud)
|
91.1%
|
18.08.2026 | Report | Verified |
| 3 |
Qwen3.6-35B-A3B
Qwen Team (Alibaba Cloud)
|
89.9%
|
16.04.2026 | Qwen Team (official model card) | Verified |
| 4 |
Qwen3.5-122B-A10B
Qwen Team (Alibaba Cloud)
|
89.8%
|
01.02.2026 | Report | Verified |
| 5 |
Qwen3.6-27B
Qwen Team (Alibaba Cloud)
|
89.4%
|
18.08.2026 | Report | Unverified |
| 6 |
Qwen3.5-35B-A3B
Qwen Team (Alibaba Cloud)
|
89.3%
|
16.04.2026 | Qwen Team (official model card - comparison) | Unverified |
| 7 |
Qwen3.5-27B
Qwen Team (Alibaba Cloud)
|
88.9%
|
16.04.2026 | Qwen Team (official model card - comparison) | Unverified |
| 8 |
Qwen3.5-4B
Qwen
|
86.2%
|
01.02.2026 | Report | Verified |
| 9 |
Qwen3-235B-A22B
Qwen Team (Alibaba Cloud)
|
84.5%
|
01.02.2026 | Report | Unverified |
| 10 |
Gemma4-31B-it
Google
|
80.1%
|
16.04.2026 | Qwen Team (official model card - comparison) | Unverified |
| 11 |
Muse-Glimmer-30B
Meta Superintelligence Lab
|
75.8%
|
01.08.2026 | Meta Superintelligence Lab (official model card) | Verified |
| 12 |
Gemma4-26B-A4B
Google
|
74.4%
|
16.04.2026 | Qwen Team (official model card - comparison) | Unverified |
| 13 |
Gemma3-27B
Google
|
0.365%
|
02.07.2026 | Report | Unverified |
| 14 |
Gemma4-E2B
Google
|
0.29%
|
02.07.2026 | Report | Verified |
| 15 |
Gemma4-E4B
Google
|
0.181%
|
02.07.2026 | Report | Verified |
| 16 |
Gemma4-12B
Google
|
0.164%
|
02.07.2026 | Report | Verified |