DocVQAtest
DocVQA is a Visual Question Answering benchmark on document images containing 50,000 questions defined on 12,000+ document images. The benchmark focuses on understanding document structure and content to answer questions about various document types including letters, memos, notes, and reports from the UCSF Industry Documents Library.
Qwen3 VL 235B A22B Instruct from Alibaba Cloud / Qwen Team currently leads the DocVQAtest leaderboard with a score of 0.971 across 11 evaluated AI models.
What DocVQAtest measures
DocVQAtest is a multimodal benchmark that evaluates large language models on multimodal and vision tasks. LLM Stats tracks 11 models on this benchmark, with a maximum possible score of 1. Current average across reported models is 1.0, with the leader reaching 1.0.
Compare leaders on the best AI for multimodal and best AI for vision leaderboards.
Publication
- Paper
- DocVQA: A Dataset for VQA on Document Images
- Authors
- Minesh Mathew, Dimosthenis Karatzas, C. V. Jawahar
- Published
- arXiv
- 2007.00398
Abstract
We present a new dataset for Visual Question Answering (VQA) on document images called DocVQA. The dataset consists of 50,000 questions defined on 12,000+ document images. Detailed analysis of the dataset in comparison with similar datasets for VQA and reading comprehension is presented. We report several baseline results by adopting existing VQA and reading comprehension models. Although the existing models perform reasonably well on certain types of questions, there is large performance gap compared to human performance (94.36% accuracy). The models need to improve specifically on questions where understanding structure of the document is crucial. The dataset, code and leaderboard are available at docvqa.org
Qwen3 VL 235B A22B Instruct leads with 97.1%, followed by Qwen3 VL 32B Instruct at 96.9% and Qwen2-VL-72B-Instruct at 96.5%.
Progress Over Time
Interactive timeline showing model performance evolution on DocVQAtest
DocVQAtest Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Alibaba Cloud / Qwen Team | 236B | 262K | $0.30 / $1.50 | ||
| 2 | Alibaba Cloud / Qwen Team | 33B | — | — | ||
| 3 | Alibaba Cloud / Qwen Team | 73B | — | — | ||
| 3 | Alibaba Cloud / Qwen Team | 236B | — | — | ||
| 5 | Alibaba Cloud / Qwen Team | 33B | — | — | ||
| 5 | Alibaba Cloud / Qwen Team | 9B | 262K | $0.08 / $0.50 | ||
| 7 | Alibaba Cloud / Qwen Team | 4B | 262K | $0.10 / $0.60 | ||
| 7 | Alibaba Cloud / Qwen Team | 9B | 262K | $0.18 / $2.09 | ||
| 9 | Alibaba Cloud / Qwen Team | 31B | — | — | ||
| 9 | Alibaba Cloud / Qwen Team | 31B | — | — | ||
| 11 | Alibaba Cloud / Qwen Team | 4B | 262K | $0.10 / $1.00 |
FAQ
Common questions about DocVQAtest.
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