multimodal benchmark
MIMIC CXR Leaderboard
MIMIC-CXR is a large publicly available dataset of chest radiographs with free-text radiology reports. Contains 377,110 images corresponding to 227,835 radiographic studies from 65,379 patients at Beth Israel Deaconess Medical Center. The dataset is de-identified and widely used for medical imaging research, automated report generation, and medical AI development.
Updated Aug 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
MIMIC CXR Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score88.9% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
MIMIC CXR Highlights
The leading models and scores on this benchmark.
The Top AI Models for MIMIC CXR
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis mimic cxr 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.
- 01GOMedGemma 4B ITGoogle
- Score
- 88.9%
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures MIMIC CXR, not total model capability
Selection summary
Best AI Models for MIMIC CXR
MedGemma 4B IT currently leads MIMIC CXR with 88.9%. 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 MIMIC CXR?
What MIMIC CXR measures and how its scores work.
MIMIC-CXR is a large publicly available dataset of chest radiographs with free-text radiology reports. Contains 377,110 images corresponding to 227,835 radiographic studies from 65,379 patients at Beth Israel Deaconess Medical Center. The dataset is de-identified and widely used for medical imaging research, automated report generation, and medical AI development.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MIMIC CXR
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- mimic-cxr|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MIMIC CXR.
Which model scores highest on MIMIC CXR?
MedGemma 4B IT is currently ranked first with 88.9%.
What does MIMIC CXR measure?
MIMIC-CXR is a large publicly available dataset of chest radiographs with free-text radiology reports. Contains 377,110 images corresponding to 227,835 radiographic studies from 65,379 patients at Beth Israel Deaconess Medical Center. The dataset is de-identified and widely used for medical imaging research, automated report generation, and medical AI development.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 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.