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multimodal benchmark

WorldVQA Leaderboard

WorldVQA is a multimodal benchmark for evaluating atomic vision-centric world knowledge.

Updated Sep 5, 2026

Models5
Model coverage5
MetricScore
EvidenceB

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WorldVQA Ranking

Higher score ranks better on this benchmark.

5 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.7-PlusAlibaba Cloud / Qwen TeamScore61.10%Percentile100.00%Participants5EvidenceCEvaluatedSep 8, 2026
Rank02ModelBYSeed 2.1 ProByteDanceScore53.00%Percentile75.00%Participants5EvidenceCEvaluatedSep 8, 2026
Rank03ModelMAKimi K3Moonshot AIScore51.00%Percentile50.00%Participants5EvidenceCEvaluatedSep 8, 2026
Rank04ModelBYSeed 2.1 TurboByteDanceScore48.60%Percentile25.00%Participants5EvidenceCEvaluatedSep 8, 2026
Rank05ModelMAKimi K2.5Moonshot AIScore46.30%Percentile0.00%Participants5EvidenceCEvaluatedSep 8, 2026

WorldVQA Highlights

The leading models and scores on this benchmark.

WorldVQA Score Distribution

A closer view of the leading scores on this benchmark.

WorldVQA

The Top AI Models for WorldVQA

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is WorldVQA?

What WorldVQA measures and how its scores work.

WorldVQA is a benchmark that evaluates models' understanding and reasoning about visual elements representing real-world knowledge.

It measures Score as a ratio.

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

Family
WorldVQA
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 WorldVQA.

Which model scores highest on WorldVQA?

Qwen3.7-Plus is currently ranked first with 61.10%.

What are the top three models on WorldVQA?

The current leaders are Qwen3.7-Plus (61.10%), Seed 2.1 Pro (53.00%), and Kimi K3 (51.00%).

Which WorldVQA model has the lowest official input price?

Qwen3.7-Plus has the lowest matched official input price at $0.50 input / $3.0 output per 1M tokens.

Which models are fastest among WorldVQA results?

No matched runtime record is currently available.

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 WorldVQA measure?

It measures Score as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

5 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 #1Qwen3.7-Plus61.10%
Rank #2Seed 2.1 Pro53.00%
Rank #3Kimi K351.00%
Rank #4Seed 2.1 Turbo48.60%

Ranking basisThis worldvqa 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
    AC
    Qwen3.7-PlusAlibaba Cloud / Qwen Team
    Score
    61.10%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #1 of 5 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures WorldVQA, not total model capability
  2. 02
    BY
    Seed 2.1 ProByteDance
    Score
    53.00%

    Strengths

    • Ranks #2 of 5 compared models
    • 75th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures WorldVQA, not total model capability
  3. 03
    MA
    Moonshot AI
    Score
    51.00%
    Price
    $3.0 input / $15 output per 1M tokens

    Strengths

    • Ranks #3 of 5 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures WorldVQA, not total model capability
  4. 04
    BY
    ByteDance
    Score
    48.60%

    Strengths

    • Ranks #4 of 5 compared models
    • 25th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures WorldVQA, not total model capability
  5. 05
    MA
    Moonshot AI
    Score
    46.30%

    Strengths

    • Ranks #5 of 5 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures WorldVQA, not total model capability

Selection summary

Best AI Models for WorldVQA

Qwen3.7-Plus currently leads WorldVQA with 61.10%. 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.

Kimi K3
Seed 2.1 Turbo
Kimi K2.5
Benchmark rank #1Qwen3.7-Plus61.10% · $0.50 input / $3.0 output per 1M tokens
Benchmark rank #2Seed 2.1 Pro53.00%
Benchmark rank #3Kimi K351.00% · $3.0 input / $15 output per 1M tokens