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multimodal benchmark

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.

Updated Aug 7, 2026

Published models11
Registry coverage11
MetricScore
EvidenceB

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DocVQAtest leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

11 rows
Columns

Show columns

1ACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen Team97.1%100.0%11CAug 7, 2026
2ACQwen3 VL 32B InstructAlibaba Cloud / Qwen Team96.9%90.0%11CAug 7, 2026
3ACQwen2-VL-72B-InstructAlibaba Cloud / Qwen Team96.5%80.0%11CAug 7, 2026
4ACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen Team96.5%70.0%11CAug 7, 2026
5ACQwen3 VL 32B ThinkingAlibaba Cloud / Qwen Team96.1%60.0%11CAug 7, 2026
6ACQwen3 VL 8B InstructAlibaba Cloud / Qwen Team96.1%50.0%11CAug 7, 2026
7ACQwen3 VL 4B InstructAlibaba Cloud / Qwen Team95.3%40.0%11CAug 7, 2026
8ACQwen3 VL 8B ThinkingAlibaba Cloud / Qwen Team95.3%30.0%11CAug 7, 2026
9ACQwen3 VL 30B A3B InstructAlibaba Cloud / Qwen Team95.0%20.0%11CAug 7, 2026
10ACQwen3 VL 30B A3B ThinkingAlibaba Cloud / Qwen Team95.0%10.0%11CAug 7, 2026
11ACQwen3 VL 4B ThinkingAlibaba Cloud / Qwen Team94.2%0.0%11CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

DocVQAtest

DocVQAtest highlights

The top published results on this benchmark's own scale.

Rank #1Qwen3 VL 235B A22B Instruct97.1%Rank #2Qwen3 VL 32B Instruct96.9%Rank #3Qwen2-VL-72B-Instruct96.5%Rank #4Qwen3 VL 235B A22B Thinking96.5%

What is DocVQAtest?

Definition and scoring fields from the benchmark registry.

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.

Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.

Family
DocVQAtest
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
No
Evaluation key
docvqatest|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

FAQ

Common questions about DocVQAtest.

Which model scores highest on DocVQAtest?

Qwen3 VL 235B A22B Instruct is currently ranked first with 97.1%.

What does DocVQAtest measure?

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.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

11 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

Rankings

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