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multimodal benchmark

InfoVQAtest Leaderboard

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

Models12
Model coverage12
MetricScore
EvidenceB

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InfoVQAtest Ranking

Higher score ranks better on this benchmark.

12 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMAKimi K2.5Moonshot AIScore92.60%Percentile100.00%Participants12EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen TeamScore89.50%Percentile90.91%Participants12EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen TeamScore89.20%Percentile81.82%Participants12EvidenceCEvaluatedSep 8, 2026
Rank04ModelACQwen3 VL 32B ThinkingAlibaba Cloud / Qwen TeamScore89.20%Percentile72.73%Participants12EvidenceCEvaluatedSep 8, 2026
Rank05ModelACQwen3 VL 32B InstructAlibaba Cloud / Qwen TeamScore87.00%Percentile63.64%Participants12EvidenceCEvaluatedSep 8, 2026
Rank06ModelACQwen3 VL 30B A3B ThinkingAlibaba Cloud / Qwen TeamScore86.00%Percentile54.55%Participants12EvidenceCEvaluatedSep 8, 2026
Rank07ModelACQwen3 VL 8B ThinkingAlibaba Cloud / Qwen TeamScore86.00%Percentile45.45%Participants12EvidenceCEvaluatedSep 8, 2026
Rank08ModelACQwen2-VL-72B-InstructAlibaba Cloud / Qwen TeamScore84.50%Percentile36.36%Participants12EvidenceCEvaluatedSep 8, 2026
Rank09ModelACQwen3 VL 8B InstructAlibaba Cloud / Qwen TeamScore83.10%Percentile27.27%Participants12EvidenceCEvaluatedSep 8, 2026
Rank10ModelACQwen3 VL 4B ThinkingAlibaba Cloud / Qwen TeamScore83.00%Percentile18.18%Participants12EvidenceCEvaluatedSep 8, 2026
Rank11ModelACQwen3 VL 30B A3B InstructAlibaba Cloud / Qwen TeamScore82.00%Percentile9.09%Participants12EvidenceCEvaluatedSep 8, 2026
Rank12ModelACQwen3 VL 4B InstructAlibaba Cloud / Qwen TeamScore80.30%Percentile0.00%Participants12EvidenceCEvaluatedSep 8, 2026

InfoVQAtest Highlights

The leading models and scores on this benchmark.

InfoVQAtest Score Distribution

A closer view of the leading scores on this benchmark.

InfoVQAtest

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.

What is InfoVQAtest?

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.

Family
InfoVQAtest
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

LLM Stats. 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 92.60%.

What are the top three models on InfoVQAtest?

The current leaders are Kimi K2.5 (92.60%), Qwen3 VL 235B A22B Thinking (89.50%), and Qwen3 VL 235B A22B Instruct (89.20%).

Which InfoVQAtest model has the lowest official input price?

No matched official input price is currently available.

Which models are fastest among InfoVQAtest results?

The fastest matched records are Qwen3 VL 4B Thinking (8.77 tok/s via DeepInfra).

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does InfoVQAtest measure?

It reports a Score metric as a ratio for performance on the test set.

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?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1Kimi K2.592.60%
Rank #2Qwen3 VL 235B A22B Thinking89.50%
Rank #3Qwen3 VL 235B A22B Instruct89.20%
Rank #4Qwen3 VL 32B Thinking89.20%

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.

  1. 01
    MA
    Kimi K2.5Moonshot AI
    Score
    92.60%

    Strengths

    • Ranks #1 of 12 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures InfoVQAtest, not total model capability
  2. 02
    AC
    Qwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen Team
    Score
    89.50%

    Strengths

    • Ranks #2 of 12 compared models
    • 91th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures InfoVQAtest, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    89.20%

    Strengths

    • Ranks #3 of 12 compared models
    • 82th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures InfoVQAtest, not total model capability
  4. 04
    AC
    Alibaba Cloud / Qwen Team
    Score
    89.20%

    Strengths

    • Ranks #4 of 12 compared models
    • 73th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures InfoVQAtest, not total model capability
  5. 05
    AC
    Alibaba Cloud / Qwen Team
    Score
    87.00%

    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 92.60%. 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.

Qwen3 VL 235B A22B Instruct
Qwen3 VL 32B Thinking
Qwen3 VL 32B Instruct
Benchmark rank #1Kimi K2.592.60%
Benchmark rank #2Qwen3 VL 235B A22B Thinking89.50%
Benchmark rank #3Qwen3 VL 235B A22B Instruct89.20%