healthcare benchmark
HealthBench
An open-source benchmark for measuring performance and safety of large language models in healthcare, consisting of 5,000 multi-turn conversations evaluated by 262 physicians using 48,562 unique rubric criteria across health contexts and behavioral dimensions
Updated Aug 11, 2026
Models9
Model coverage9
MetricScore
EvidenceB
HealthBench Ranking
Higher score ranks better on this benchmark.
| 01 | AC | 60.2% | 100.0% | 9 | C | |
| 02 | MA | 58.0% | 87.5% | 9 | C | |
| 03 | OP | 57.6% | 75.0% | 9 | C | |
| 04 | OP | 57.0% | 62.5% | 9 | C | |
| 05 | OP | 57.0% | 50.0% | 9 | C | |
| 06 | OP | 55.8% | 37.5% | 9 | C | |
| 07 | OP | 54.1% | 25.0% | 9 | C | |
| 08 | OP | 51.4% | 12.5% | 9 | C | |
| 09 | OP | 42.5% | 0.0% | 9 | C |
HealthBench Score Distribution
A closer view of the leading scores on this benchmark.
HealthBench Highlights
The leading models and scores on this benchmark.
What is HealthBench?
What HealthBench measures and how its scores work.
An open-source benchmark for measuring performance and safety of large language models in healthcare, consisting of 5,000 multi-turn conversations evaluated by 262 physicians using 48,562 unique rubric criteria across health contexts and behavioral dimensions
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- HealthBench
- Modality
- text
- Primary category
- healthcare
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- healthbench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about HealthBench.
Which model scores highest on HealthBench?
Qwen3.8 Max is currently ranked first with 60.2%.
What does HealthBench measure?
An open-source benchmark for measuring performance and safety of large language models in healthcare, consisting of 5,000 multi-turn conversations evaluated by 262 physicians using 48,562 unique rubric criteria across health contexts and behavioral dimensions
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
9 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.