multimodal benchmark
InfoVQAtest is a multimodal benchmark based on infographic images that require joint reasoning over document layout, textual content, graphical elements, data visualizations, elementary reasoning, and arithmetic skills.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMA | Score92.60% | Percentile100.00% | Participants12 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score89.50% | Percentile90.91% | Participants12 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score89.20% | Percentile81.82% | Participants12 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score89.20% | Percentile72.73% | Participants12 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score87.00% | Percentile63.64% | Participants12 | EvidenceC | Evaluated |
| Rank06 | ModelAC | Score86.00% | Percentile54.55% | Participants12 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score86.00% | Percentile45.45% | Participants12 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score84.50% | Percentile36.36% | Participants12 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score83.10% | Percentile27.27% | Participants12 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score83.00% | Percentile18.18% | Participants12 | EvidenceC | Evaluated |
| Rank11 | ModelAC | Score82.00% | Percentile9.09% | Participants12 | EvidenceC | Evaluated |
| Rank12 | ModelAC | Score80.30% | Percentile0.00% | Participants12 | 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 InfoVQAtest measures and how its scores work.
InfoVQAtest is the InfoVQA test set for multimodal evaluation using infographic images.
It reports a Score metric as a ratio for performance on the test set.
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 InfoVQAtest.
Kimi K2.5 is currently ranked first with 92.60%.
The current leaders are Kimi K2.5 (92.60%), Qwen3 VL 235B A22B Thinking (89.50%), and Qwen3 VL 235B A22B Instruct (89.20%).
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 reports a Score metric as a ratio for performance on the test set.
Yes. Higher values rank better for this benchmark.
12 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis infovqatest 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
Kimi K2.5 currently leads InfoVQAtest with 92.60%. 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.