image to text benchmark
VQAv2 (test) Leaderboard
VQAv2 (test) is a visual question answering benchmark based on VQA v2.0, containing 1,105,904 questions across 204,721 COCO images.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
VQAv2 (test) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelME | Score75.20% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
VQAv2 (test) Highlights
The leading models and scores on this benchmark.
The Top AI Models for VQAv2 (test)
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis vqav2 (test) AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MEMeta
- Score
- 75.20%
- Speed
- Up to 108.00 tok/s via DeepInfra
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures VQAv2 (test), not total model capability
Selection summary
Best AI Models for VQAv2 (test)
Llama 3.2 11B Instruct currently leads VQAv2 (test) with 75.20%. 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 VQAv2 (test)?
What VQAv2 (test) measures and how its scores work.
VQAv2 (test) is a balanced visual question answering dataset with complementary image pairs where the same question yields different answers.
It measures visual question answering involving visual understanding, language, and commonsense knowledge.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- VQAv2 (test)
- 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 (test).
Which model scores highest on VQAv2 (test)?
Llama 3.2 11B Instruct is currently ranked first with 75.20%.
What are the top three models on VQAv2 (test)?
The current leaders are Llama 3.2 11B Instruct (75.20%).
Which VQAv2 (test) model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among VQAv2 (test) results?
The fastest matched records are Llama 3.2 11B Instruct (108.00 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.