multimodal benchmark
DocVQAtest is a Visual Question Answering benchmark based on 12,000+ document images and 50,000 questions.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score97.10% | Percentile100.00% | Participants11 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score96.90% | Percentile90.00% | Participants11 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score96.50% | Percentile80.00% | Participants11 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score96.50% | Percentile70.00% | Participants11 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score96.10% | Percentile60.00% | Participants11 | EvidenceC | Evaluated |
| Rank06 | ModelAC | Score96.10% | Percentile50.00% | Participants11 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score95.30% | Percentile40.00% | Participants11 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score95.30% | Percentile30.00% | Participants11 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score95.00% | Percentile20.00% | Participants11 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score95.00% | Percentile10.00% | Participants11 | EvidenceC | Evaluated |
| Rank11 | ModelAC | Score94.20% | Percentile0.00% | Participants11 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What DocVQAtest measures and how its scores work.
DocVQAtest is a multimodal benchmark for answering questions about document images, including letters, memos, notes, and reports from the UCSF Industry Documents Library.
It measures performance in understanding document structure and content to answer questions, reported as Score in ratio units.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about DocVQAtest.
Qwen3 VL 235B A22B Instruct is currently ranked first with 97.10%.
The current leaders are Qwen3 VL 235B A22B Instruct (97.10%), Qwen3 VL 32B Instruct (96.90%), and Qwen2-VL-72B-Instruct (96.50%).
No matched official input price is currently available.
The fastest matched records are Qwen3 VL 4B Thinking (8.77 tok/s via DeepInfra).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures performance in understanding document structure and content to answer questions, reported as Score in ratio units.
Yes. Higher values rank better for this benchmark.
11 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis docvqatest AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Qwen3 VL 235B A22B Instruct currently leads DocVQAtest with 97.10%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.