multimodal benchmark
InfoVQAtest Leaderboard
InfoVQA test set with infographic images requiring joint reasoning over document layout, textual content, graphical elements, and data visualizations with elementary reasoning and arithmetic skills
Updated Aug 17, 2026
Models12
Model coverage12
MetricScore
EvidenceB
InfoVQAtest Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMA | Score92.6% | Percentile100.0% | Participants12 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score89.5% | Percentile90.9% | Participants12 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score89.2% | Percentile81.8% | Participants12 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score89.2% | Percentile72.7% | Participants12 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score87.0% | Percentile63.6% | Participants12 | EvidenceC | Evaluated |
| Rank06 | ModelAC | Score86.0% | Percentile54.5% | Participants12 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score86.0% | Percentile45.5% | Participants12 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score84.5% | Percentile36.4% | Participants12 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score83.1% | Percentile27.3% | Participants12 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score83.0% | Percentile18.2% | Participants12 | EvidenceC | Evaluated |
| Rank11 | ModelAC | Score82.0% | Percentile9.1% | Participants12 | EvidenceC | Evaluated |
| Rank12 | ModelAC | Score80.3% | Percentile0.0% | Participants12 | EvidenceC | Evaluated |
InfoVQAtest Highlights
The leading models and scores on this benchmark.
InfoVQAtest Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for InfoVQAtest
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis infovqatest AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MAKimi K2.5Moonshot AI
- Score
- 92.6%
- Price
- $0.60 input / $3.0 output per 1M tokens
Strengths
- Ranks #1 of 12 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures InfoVQAtest, not total model capability
- 02ACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen Team
- Score
- 89.5%
Strengths
- Ranks #2 of 12 compared models
- 91th percentile on this benchmark
- C evidence result
Considerations
- This result measures InfoVQAtest, not total model capability
- 03ACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen Team
- Score
- 89.2%
Strengths
- Ranks #3 of 12 compared models
- 82th percentile on this benchmark
- C evidence result
Considerations
- This result measures InfoVQAtest, not total model capability
- 04ACQwen3 VL 32B ThinkingAlibaba Cloud / Qwen Team
- Score
- 89.2%
Strengths
- Ranks #4 of 12 compared models
- 73th percentile on this benchmark
- C evidence result
Considerations
- This result measures InfoVQAtest, not total model capability
- 05ACQwen3 VL 32B InstructAlibaba Cloud / Qwen Team
- Score
- 87.0%
Strengths
- Ranks #5 of 12 compared models
- 64th percentile on this benchmark
- C evidence result
Considerations
- This result measures InfoVQAtest, not total model capability
Selection summary
Best AI Models for InfoVQAtest
Kimi K2.5 currently leads InfoVQAtest with 92.6%. 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.
What is InfoVQAtest?
What InfoVQAtest measures and how its scores work.
InfoVQA test set with 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
- InfoVQAtest
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- infovqatest|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about InfoVQAtest.
Which model scores highest on InfoVQAtest?
Kimi K2.5 is currently ranked first with 92.6%.
What does InfoVQAtest measure?
InfoVQA test set with 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?
12 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.