image to text benchmark
VQA-Rad Leaderboard
VQA-Rad is a medical visual question answering dataset with 3,515 clinically generated questions and answers about 315 radiology images from MedPix.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
VQA-Rad Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score49.90% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
VQA-Rad Highlights
The leading models and scores on this benchmark.
The Top AI Models for VQA-Rad
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis vqa-rad AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01GOGoogle
- Score
- 49.90%
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures VQA-Rad, not total model capability
Selection summary
Best AI Models for VQA-Rad
MedGemma 4B IT currently leads VQA-Rad with 49.90%. 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 VQA-Rad?
What VQA-Rad measures and how its scores work.
VQA-RAD (Visual Question Answering in Radiology) is a manually constructed dataset containing questions created by clinical trainees about head, chest, and abdominal radiology scans.
It reports a Score in ratio units for medical visual question answering.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- VQA-Rad
- 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 VQA-Rad.
Which model scores highest on VQA-Rad?
MedGemma 4B IT is currently ranked first with 49.90%.
What are the top three models on VQA-Rad?
The current leaders are MedGemma 4B IT (49.90%).
Which VQA-Rad model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among VQA-Rad 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.