multimodal benchmark
SimpleVQA Leaderboard
SimpleVQA is a visual question answering benchmark focused on simple queries.
Updated Aug 17, 2026
Models14
Model coverage14
MetricScore
EvidenceB
SimpleVQA Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score0.817 points | Percentile100.0% | Participants14 | EvidenceC | Evaluated |
| Rank02 | ModelZA | Score0.782 points | Percentile92.3% | Participants14 | EvidenceC | Evaluated |
| Rank03 | ModelBY | Score0.745 points | Percentile84.6% | Participants14 | EvidenceC | Evaluated |
| Rank04 | ModelME | Score0.713 points | Percentile76.9% | Participants14 | EvidenceC | Evaluated |
| Rank05 | ModelMA | Score0.712 points | Percentile69.2% | Participants14 | EvidenceC | Evaluated |
| Rank06 | ModelBY | Score0.711 points | Percentile61.5% | Participants14 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score0.673 points | Percentile53.9% | Participants14 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score0.617 points | Percentile46.1% | Participants14 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score0.613 points | Percentile38.5% | Participants14 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score0.589 points | Percentile30.8% | Participants14 | EvidenceC | Evaluated |
| Rank11 | ModelAC | Score0.583 points | Percentile23.1% | Participants14 | EvidenceC | Evaluated |
| Rank12 | ModelAC | Score0.561 points | Percentile15.4% | Participants14 | EvidenceC | Evaluated |
| Rank13 | ModelAC | Score0.56 points | Percentile7.7% | Participants14 | EvidenceC | Evaluated |
| Rank14 | ModelLA | Score0.354 points | Percentile0.0% | Participants14 | EvidenceC | Evaluated |
SimpleVQA Highlights
The leading models and scores on this benchmark.
SimpleVQA Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for SimpleVQA
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis simplevqa 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.
- 01ACQwen3.7-PlusAlibaba Cloud / Qwen Team
- Score
- 0.817 points
- Price
- $0.50 input / $3.0 output per 1M tokens
Strengths
- Ranks #1 of 14 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures SimpleVQA, not total model capability
- 02ZAGLM-5V-TurboZhipu AI
- Score
- 0.782 points
- Price
- $5.0 input / $22 output per 1M tokens
Strengths
- Ranks #2 of 14 compared models
- 92th percentile on this benchmark
- C evidence result
Considerations
- This result measures SimpleVQA, not total model capability
- 03BYSeed 2.1 ProByteDance
- Score
- 0.745 points
Strengths
- Ranks #3 of 14 compared models
- 85th percentile on this benchmark
- C evidence result
Considerations
- This result measures SimpleVQA, not total model capability
- 04MEMuse SparkMeta
- Score
- 0.713 points
Strengths
- Ranks #4 of 14 compared models
- 77th percentile on this benchmark
- C evidence result
Considerations
- This result measures SimpleVQA, not total model capability
- 05MAKimi K2.5Moonshot AI
- Score
- 0.712 points
- Price
- $0.60 input / $3.0 output per 1M tokens
Strengths
- Ranks #5 of 14 compared models
- 69th percentile on this benchmark
- C evidence result
Considerations
- This result measures SimpleVQA, not total model capability
Selection summary
Best AI Models for SimpleVQA
Qwen3.7-Plus currently leads SimpleVQA with 0.817 points. 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 SimpleVQA?
What SimpleVQA measures and how its scores work.
SimpleVQA is a visual question answering benchmark focused on simple queries.
Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.
- Family
- SimpleVQA
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- simplevqa|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about SimpleVQA.
Which model scores highest on SimpleVQA?
Qwen3.7-Plus is currently ranked first with 0.817 points.
What does SimpleVQA measure?
SimpleVQA is a visual question answering benchmark focused on simple queries.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
14 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.