healthcare benchmark
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 7, 2026
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | AC | 60.2% | 100.0% | 9 | C | |
| 2 | MA | 58.0% | 87.5% | 9 | C | |
| 3 | OP | 57.6% | 75.0% | 9 | C | |
| 4 | OP | 57.0% | 62.5% | 9 | C | |
| 5 | OP | 57.0% | 50.0% | 9 | C | |
| 6 | OP | 55.8% | 37.5% | 9 | C | |
| 7 | OP | 54.1% | 25.0% | 9 | C | |
| 8 | OP | 51.4% | 12.5% | 9 | C | |
| 9 | OP | 42.5% | 0.0% | 9 | C |
Top published rows on the benchmark's original scale.
The top published results on this benchmark's own scale.
Definition and scoring fields from the benchmark registry.
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. The current registry marks this benchmark as not independently verified with evidence level B.
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
Common questions about HealthBench.
Qwen3.8 Max is currently ranked first with 60.2%.
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
Yes. Higher values rank better for this benchmark.
9 unique published model results are currently shown.
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.