image to text benchmark
VQAv2 (val) Leaderboard
VQAv2 (val) is a balanced Visual Question Answering dataset of open-ended questions about images requiring vision, language, and commonsense knowledge.
Updated Sep 5, 2026
Models3
Model coverage3
MetricScore
EvidenceB
VQAv2 (val) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score71.60% | Percentile100.00% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelGO | Score71.00% | Percentile50.00% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelGO | Score62.40% | Percentile0.00% | Participants3 | EvidenceC | Evaluated |
VQAv2 (val) Highlights
The leading models and scores on this benchmark.
VQAv2 (val) Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for VQAv2 (val)
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is VQAv2 (val)?
What VQAv2 (val) measures and how its scores work.
VQAv2 (val) is a Visual Question Answering dataset containing open-ended questions about images and complementary images associated with different answers.
It measures performance on answering open-ended questions about images using visual content, language, and commonsense knowledge, reported as a Score ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- VQAv2 (val)
- Modality
- multimodal
- Primary category
- image to text
- 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 VQAv2 (val).
Which model scores highest on VQAv2 (val)?
Gemma 3 12B is currently ranked first with 71.60%.
What are the top three models on VQAv2 (val)?
The current leaders are Gemma 3 12B (71.60%), Gemma 3 27B (71.00%), and Gemma 3 4B (62.40%).
Which VQAv2 (val) model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among VQAv2 (val) results?
The fastest matched records are Gemma 3 12B (33.00 tok/s via DeepInfra), Gemma 3 27B (33.00 tok/s via DeepInfra), and Gemma 3 4B (33.00 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.