DocVQA
Models answer 50,000 questions about 12,000 scanned document images by reading their text and layout. Scoring is ANLS, a string similarity to reference answers.
Test answers stay on the evaluation server, and top models now pass the 94.36 human score in the paper.
In the authors’ words
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
- Level
- Everyday Most adults, without training
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Short answer A number, word or short string matched to a key.
Seed1.5-VL leads with 96.9% among models released by Sep 2026
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
The newest model with a score here came out in Sep 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- Claude Sonnet 5.5
- and 16 more
- 96.9
Seed1.5-VL
- 96.5
Qwen3-VL-235B-A22B
- 96.4
Qwen2.5-VL-72B
- 95.9
Command A Vision
- 95.6
Nemotron 3 Nano Omni 30B-A3B
- 95.6
DeepSeek V4.1 Flash
- 95.5
ERNIE 5.0
- 95.3
Mistral Medium 3
- 95.2 Claude 3.5 Sonnet
- 95.2
Qwen2.5-Omni-7B
- 94.9
InternVL3.5-241B-A28B
- 94.9
Mistral Small 3.2
- 94.4
Llama 4 Maverick
- 94.4
Nemotron Nano 12B v2 VL
- 94.2 Claude 3.5 Sonnet (October 2024)
- 94.1
Mistral Small 3.1
- 93.6 Grok-2
- 93.6
ERNIE-4.5-VL-28B-A3B-Thinking
- 93.2
Phi-4-multimodal
- 93.1
Gemini 1.5 Pro
- 92.8 GPT-4o
- 92.1
North Micro Vision Instruct
- 91.8
LongCat-Flash-Omni
- 91.2
Llama-3.1-Nemotron-Nano-VL-8B-V1
- 91.1 LFM2.5-VL-3B
- 90.9
Gemini 1.0 Ultra
- 89.5 Claude 3 Sonnet
- 89.3 Claude 3 Opus
- 88.8 Claude 3 Haiku
- 87.1
Gemma 3 12B
- 86.6
Gemma 3 27B
- 86.5
Gemini 1.5 Pro
- 75.8
Gemma 3 4B
- 1
Seed1.5-VL 96.9%
- 2
Qwen3-VL-235B-A22B 96.5%
- 3
Qwen2.5-VL-72B 96.4%
- 4
Command A Vision 95.9%
- 5
Nemotron 3 Nano Omni 30B-A3B 95.6%
- 6
DeepSeek V4.1 Flash 95.6%
- 7
ERNIE 5.0 95.5%
- 8
Mistral Medium 3 95.3%
- 9 Claude 3.5 Sonnet 95.2%
- 10
Qwen2.5-Omni-7B 95.2%
- 11
InternVL3.5-241B-A28B 94.9%
- 12
Mistral Small 3.2 94.9%
- 13
Llama 4 Maverick 94.4%
- 14
Nemotron Nano 12B v2 VL 94.4%
- 15 Claude 3.5 Sonnet (October 2024) 94.2%
- 16
Mistral Small 3.1 94.1%
- 17 Grok-2 Aug 2024 93.6%
- 18
ERNIE-4.5-VL-28B-A3B-Thinking 93.6%
- 19
Phi-4-multimodal 93.2%
- 20
Gemini 1.5 Pro May 2024 93.1%
- 21 GPT-4o May 2024 92.8%
- 22
North Micro Vision Instruct 92.1%
- 23
LongCat-Flash-Omni 91.8%
- 24
Llama-3.1-Nemotron-Nano-VL-8B-V1 91.2%
- 25 LFM2.5-VL-3B 91.1%
- 26
Gemini 1.0 Ultra 90.9%
- 27 Claude 3 Sonnet 89.5%
- 28 Claude 3 Opus 89.3%
- 29 Claude 3 Haiku 88.8%
- 30
Gemma 3 12B 87.1%
- 31
Gemma 3 27B 86.6%
- 32
Gemini 1.5 Pro Feb 2024 86.5%
- 33
Gemma 3 4B 75.8%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 96.9% | May 2025 | Model card | |
| 2 | | 96.5% | Sep 2025 | Model card | |
| 3 | | 96.4% | Jan 2025 | Model card | |
| 4 | | 95.9% | Jul 2025 | Model card | |
| 5 | | 95.6% | Apr 2026 | Model card | |
| 6 | | 95.6% | Sep 2026 | Model card | |
| 7 | | 95.5% | Feb 2026 | Model card | |
| 8 | | 95.3% | May 2025 | Model card | |
| 9 | Claude 3.5 Sonnet | 95.2% | Jun 2024 | Model card | |
| 10 | | 95.2% | Mar 2025 | Model card | |
| 11 | | 94.9% | Aug 2025 | Model card | |
| 12 | | 94.9% | Jun 2025 | Model card | |
| 13 | | 94.4% | Apr 2025 | Model card | |
| 14 | | 94.4% | Oct 2025 | Model card | |
| 15 | Claude 3.5 Sonnet (October 2024) | 94.2% | Oct 2024 | Model card | |
| 16 | | 94.1% | Mar 2025 | Model card | |
| 17 | Grok-2 Aug 2024 | 93.6% | Aug 2024 | Model card | |
| 18 | | 93.6% | Nov 2025 | Model card | |
| 19 | | 93.2% | Feb 2025 | Model card | |
| 20 | | 93.1% | May 2024 | Model card | |
| 21 | GPT-4o May 2024 | 92.8% | May 2024 | Model card | |
| 22 | | 92.1% | Aug 2026 | Model card | |
| 23 | | 91.8% | Oct 2025 | Model card | |
| 24 | | 91.2% | Jun 2025 | Model card | |
| 25 | LFM2.5-VL-3B | 91.1% | Aug 2026 | Model card | |
| 26 | | 90.9% | Dec 2023 | Model card | |
| 27 | Claude 3 Sonnet | 89.5% | Mar 2024 | Model card | |
| 28 | Claude 3 Opus | 89.3% | Mar 2024 | Model card | |
| 29 | Claude 3 Haiku | 88.8% | Mar 2024 | Model card | |
| 30 | | 87.1% | Mar 2025 | Model card | |
| 31 | | 86.6% | Mar 2025 | Model card | |
| 32 | | 86.5% | Feb 2024 | Model card | |
| 33 | | 75.8% | Mar 2025 | Model card |
6 models have held number one since 2023
Lab claims count from the day the card came out, independent runs from the model’s release.
The best score passed 85% in Dec 2023
All the scores we have, one dot each, so a model tested at several settings appears more than once.
3 labs put it in a launch post in the last six months
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 10 Sep 2026 | 95.6 | DocVQA (LLM-Judge) | |
| 12 Aug 2026 | LFM2.5-VL-3B | 91.1 | DocVQA (val) |
| 12 Aug 2026 | 92.1 | DocVQA VAL | |
| 6 Feb 2026 | 95.5 | DocVQA (val) | |
| 11 Nov 2025 | 93.6 | DocVQA (val) | |
| 31 Oct 2025 | 91.8 | DocVQA | |
| 28 Oct 2025 | 94.4 | DocVQA (val) | |
| 23 Sep 2025 | 96.5 | DocVQA_TEST | |
| 31 Jul 2025 | 95.9 | DocVQA | |
| 20 Jun 2025 | 94.9 | DocVQA | |
| 3 Jun 2025 | 91.2 | DocVQA val | |
| 12 May 2025 | 96.9 | DocVQA | |
| 7 May 2025 | 95.3 | DocVQA 0-shot | |
| 5 Apr 2025 | 94.4 | DocVQA (test), anls | |
| 5 Apr 2025 | 94.4 | DocVQA (test), anls | |
| 27 Mar 2025 | 95.2 | DocVQAtest | |
| 17 Mar 2025 | 94.1 | DocVQA | |
| 16 Mar 2025 | DocVQA | ||
| 12 Mar 2025 | 86.6 | DocVQA (IT); PT DocVQA (val) = 85.6 | |
| 26 Feb 2025 | 93.2 | DocVQA | |
| 28 Jan 2025 | 96.4 | DocVQA_VAL | |
| 22 Oct 2024 | Claude 3.5 Sonnet (October 2024) | 94.2 | DocVQA (test, ANLS score) |
| 13 Aug 2024 | Grok-2 | 93.6 | DocVQA |
| 20 Jun 2024 | Claude 3.5 Sonnet | 95.2 | DocVQA (test, ANLS score) |
| 14 May 2024 | 93.1 | DocVQA (test), 0-shot (ANLS, with Cloud OCR annotations) | |
| 13 May 2024 | GPT-4o | 92.8 | DocVQA (%) (test) |
| 4 Mar 2024 | Claude 3 Opus | 89.3 | DocVQA (test, ANLS score) |
| 15 Feb 2024 | 86.5 | DocVQA (test), 0-shot (ANLS) | |
| 6 Dec 2023 | 90.9 | DocVQA (test) | |
| 14 Mar 2023 | GPT-4 | 88.4 | DocVQA ANLS score (test) 0-shot (pixel-only) |
20 system cards report it, from 10 labs
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 27 Apr 2026 | | 95.6 | DocVQA (Test), reasoning on, 93.3 reasoning off (Table 7) | Capabilities |
| 4 Feb 2026 | | 95.5 | DocVQAval (Table 3) | Capabilities |
| 26 Nov 2025 | | 96.5 | DocVQA test (Table 2) | Capabilities |
| 6 Nov 2025 | | 93.2 | DocVQA (Test), reasoning on (Table 3). Reasoning off 94.7 | Capabilities |
| 31 Oct 2025 | | 91.8 | DocVQA (Table 5) | Capabilities |
| 25 Aug 2025 | | 94.9 | DocVQA (test) (Table 4) | Capabilities |
| 11 May 2025 | | 96.9 | DocVQA, thinking (Table 6). Non-thinking 96.7 | Capabilities |
| 5 Apr 2025 | | 94.4 | DocVQA (test), 0-shot, anls, instruction tuned (Instruction tuned models table) | Capabilities |
| 5 Apr 2025 | | 94.4 | DocVQA (test), 0-shot, anls, instruction tuned (Instruction tuned models table) | Capabilities |
| 26 Mar 2025 | | 95.2 | DocVQA test (Table 5) | Capabilities |
| 25 Mar 2025 | | 75.8 | DocVQA, IT, P&S applied (Table 16) | Capabilities |
| 25 Mar 2025 | | 86.6 | DocVQA, IT, P&S applied (Table 16) | Capabilities |
| 25 Mar 2025 | | 87.1 | DocVQA, IT, P&S applied (Table 16) | Capabilities |
| 3 Mar 2025 | | 93.2 | DocVQA (test) (Table 1). Speech-prompt ShareGPT4o DocVQA 87.3 (Table 2) | Capabilities |
| 19 Feb 2025 | | 96.4 | DocVQA test (Table 5) | Capabilities |
| 22 Oct 2024 | Claude 3.5 Sonnet (October 2024) model card | 94.2 | DocVQA (test, ANLS score), 0-shot (Table 5) | Capabilities |
| 20 Jun 2024 | Claude 3.5 Sonnet model card | 95.2 | DocVQA (test, ANLS score), 0-shot (Table 2) | Capabilities |
| 4 Mar 2024 | Claude 3 Sonnet model card | 89.5 | DocVQA (test, ANLS score), 0-shot (Table 3) | Capabilities |
| 4 Mar 2024 | Claude 3 Opus model card | 89.3 | DocVQA (test, ANLS score), 0-shot (Table 3) | Capabilities |
| 4 Mar 2024 | Claude 3 Haiku model card | 88.8 | DocVQA (test, ANLS score), 0-shot (Table 3) | Capabilities |
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