llmboard.ai
Benchmarks
CompareRankings
llmboard.ai
Benchmarks
CompareRankings
HomeBenchmarksmultimodalInfoVQA

multimodal benchmark

InfoVQA

InfoVQA dataset with 30,000 questions and 5,000 infographic images requiring joint reasoning over document layout, textual content, graphical elements, and data visualizations with elementary reasoning and arithmetic skills

Updated Aug 11, 2026

Models9
Model coverage9
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

InfoVQA Ranking

Higher score ranks better on this benchmark.

9 rows
Columns

Show columns

1ACQwen2.5 VL 32B InstructAlibaba Cloud / Qwen Team83.4%100.0%9CAug 11, 2026
2ACQwen2.5 VL 7B InstructAlibaba Cloud / Qwen Team82.6%87.5%9CAug 11, 2026
3DEDeepSeek VL2DeepSeek78.1%75.0%9CAug 11, 2026
4DEDeepSeek VL2 SmallDeepSeek75.8%62.5%9CAug 11, 2026
5MIPhi-4-multimodal-instructMicrosoft72.7%50.0%9CAug 11, 2026
6GOGemma 3 27BGoogle70.6%37.5%9CAug 11, 2026
7DEDeepSeek VL2 TinyDeepSeek66.1%25.0%9CAug 11, 2026
8GOGemma 3 12BGoogle64.9%12.5%9CAug 11, 2026
9GOGemma 3 4BGoogle50.0%0.0%9CAug 11, 2026

InfoVQA Score Distribution

A closer view of the leading scores on this benchmark.

InfoVQA

InfoVQA Highlights

The leading models and scores on this benchmark.

Rank #1Qwen2.5 VL 32B Instruct83.4%Rank #2Qwen2.5 VL 7B Instruct82.6%Rank #3DeepSeek VL278.1%Rank #4DeepSeek VL2 Small75.8%

What is InfoVQA?

What InfoVQA measures and how its scores work.

InfoVQA dataset with 30,000 questions and 5,000 infographic images requiring joint reasoning over document layout, textual content, graphical elements, and data visualizations with elementary reasoning and arithmetic skills

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
InfoVQA
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
infovqa|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about InfoVQA.

Which model scores highest on InfoVQA?

Qwen2.5 VL 32B Instruct is currently ranked first with 83.4%.

What does InfoVQA measure?

InfoVQA dataset with 30,000 questions and 5,000 infographic images requiring joint reasoning over document layout, textual content, graphical elements, and data visualizations with elementary reasoning and arithmetic skills

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

9 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.

Rankings

OverallCodingText ArenaPricing

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

All VendorsOpenAIAnthropicGoogle
llmboard.aiCopyright 2026 llmboard.ai