healthcare benchmark
A challenging variation of HealthBench that evaluates large language models' performance and safety in healthcare through 5,000 multi-turn conversations with particularly rigorous evaluation criteria validated by 262 physicians from 60 countries
Updated Aug 11, 2026
Higher score ranks better on this benchmark.
| 01 | ME | 42.8% | 100.0% | 9 | C | |
| 02 | OP | 33.1% | 87.5% | 9 | C | |
| 03 | OP | 32.7% | 75.0% | 9 | C | |
| 04 | OP | 32.0% | 62.5% | 9 | C | |
| 05 | OP | 30.0% | 50.0% | 9 | C | |
| 06 | OP | 25.9% | 37.5% | 9 | C | |
| 07 | OP | 22.9% | 25.0% | 9 | C | |
| 08 | OP | 10.8% | 12.5% | 9 | C | |
| 09 | OP | 1.6% | 0.0% | 9 | C |
A closer view of the leading scores on this benchmark.
The leading models and scores on this benchmark.
What HealthBench Hard measures and how its scores work.
A challenging variation of HealthBench that evaluates large language models' performance and safety in healthcare through 5,000 multi-turn conversations with particularly rigorous evaluation criteria validated by 262 physicians from 60 countries
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of C.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about HealthBench Hard.
Muse Spark is currently ranked first with 42.8%.
A challenging variation of HealthBench that evaluates large language models' performance and safety in healthcare through 5,000 multi-turn conversations with particularly rigorous evaluation criteria validated by 262 physicians from 60 countries
Yes. Higher values rank better for this benchmark.
9 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.