OfficeQA Pro v2
Newer v2 of OfficeQA Pro; PDF corpus as page images only; online answer retrieval scores zero.
Category
Document Understanding
Score type
percent
Scale
100%
higher is better
Models tested
3
What is OfficeQA Pro v2?
OfficeQA Pro v2 is a benchmark for reading and parsing real documents. The official description says: "Newer v2 of OfficeQA Pro; PDF corpus as page images only; online answer retrieval scores zero". Below we describe in simple words what benchmarks of this type generally examine.
What does it test?
OfficeQA Pro v2 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: Newer v2 of OfficeQA Pro; PDF corpus as page images only; online answer retrieval scores zero.
Frequently asked questions
What is the OfficeQA Pro v2 benchmark?
OfficeQA Pro v2 is a benchmark for reading and parsing real documents. The official description says: 'Newer v2 of OfficeQA Pro; PDF corpus as page images only; online answer retrieval scores zero'. Below we describe in simple words what benchmarks of this type generally examine.
What does OfficeQA Pro v2 test?
OfficeQA Pro v2 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 OfficeQA Pro v2 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 OfficeQA Pro v2 data and scores?
The official source is https://huggingface.co/moonshotai/Kimi-K3.1-Pro. 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/officeqa-pro-v2/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.
Official benchmark page / paper
The benchmark maintainer's website, paper or leaderboard
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 3 models tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
Kimi K3.1 Pro
Moonshot AI
|
64.4%
|
07.11.2026 | Report | Verified |
| 2 |
DeepSeek-V4.1-Flash-1017
DeepSeek
|
40.4%
|
07.11.2026 | Kimi K3.1 Pro model card comparison column (max effort) https://huggingface.co/moonshotai/Kimi-K3.1-Pro | Unverified |
| 3 |
GLM-5.3
Zhipu AI
|
31.1%
|
07.11.2026 | Kimi K3.1 Pro model card comparison column (max effort) https://huggingface.co/moonshotai/Kimi-K3.1-Pro | Unverified |