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healthcare benchmark

CheXpert CXR Leaderboard

CheXpert is a large dataset of 224,316 chest radiographs from 65,240 patients for automated chest X-ray interpretation. The dataset includes uncertainty labels for 14 medical observations extracted from radiology reports. It serves as a benchmark for developing and evaluating automated chest radiograph interpretation models.

Updated Aug 17, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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CheXpert CXR Ranking

Higher score ranks better on this benchmark.

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Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelGOMedGemma 4B ITGoogleScore48.1%Percentile100.0%Participants1EvidenceCEvaluatedAug 17, 2026

CheXpert CXR Highlights

The leading models and scores on this benchmark.

Rank #1MedGemma 4B IT48.1%

The Top AI Models for CheXpert CXR

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis chexpert 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.

  1. 01
    GO
    MedGemma 4B ITGoogle
    Score
    48.1%

    Strengths

    • Ranks #1 of 1 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures CheXpert CXR, not total model capability

Selection summary

Best AI Models for CheXpert CXR

MedGemma 4B IT currently leads CheXpert CXR with 48.1%. 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.

Benchmark rank #1MedGemma 4B IT48.1%

What is CheXpert CXR?

What CheXpert CXR measures and how its scores work.

CheXpert is a large dataset of 224,316 chest radiographs from 65,240 patients for automated chest X-ray interpretation. The dataset includes uncertainty labels for 14 medical observations extracted from radiology reports. It serves as a benchmark for developing and evaluating automated chest radiograph interpretation models.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
CheXpert CXR
Modality
image
Primary category
healthcare
Score direction
higher
LLMBoard eligible
No
Evaluation key
chexpert-cxr|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about CheXpert CXR.

Which model scores highest on CheXpert CXR?

MedGemma 4B IT is currently ranked first with 48.1%.

What does CheXpert CXR measure?

CheXpert is a large dataset of 224,316 chest radiographs from 65,240 patients for automated chest X-ray interpretation. The dataset includes uncertainty labels for 14 medical observations extracted from radiology reports. It serves as a benchmark for developing and evaluating automated chest radiograph interpretation models.

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.