healthcare benchmark
HealthBench Consensus
HealthBench Consensus is a HealthBench subset focused on questions where physician-created rubric criteria have especially high agreement, measuring healthcare performance and safety on consensus-evaluable conversations.
Updated Aug 11, 2026
Models4
Model coverage4
MetricScore
EvidenceB
HealthBench Consensus Ranking
Higher score ranks better on this benchmark.
| 01 | OP | 95.5% | 100.0% | 4 | C | |
| 02 | OP | 95.1% | 66.7% | 4 | C | |
| 03 | OP | 95.1% | 33.3% | 4 | C | |
| 04 | OP | 94.7% | 0.0% | 4 | C |
HealthBench Consensus Score Distribution
A closer view of the leading scores on this benchmark.
HealthBench Consensus Highlights
The leading models and scores on this benchmark.
What is HealthBench Consensus?
What HealthBench Consensus measures and how its scores work.
HealthBench Consensus is a HealthBench subset focused on questions where physician-created rubric criteria have especially high agreement, measuring healthcare performance and safety on consensus-evaluable conversations.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- HealthBench Consensus
- Modality
- text
- Primary category
- healthcare
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- healthbench-consensus|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about HealthBench Consensus.
Which model scores highest on HealthBench Consensus?
GPT-5.6 Sol is currently ranked first with 95.5%.
What does HealthBench Consensus measure?
HealthBench Consensus is a HealthBench subset focused on questions where physician-created rubric criteria have especially high agreement, measuring healthcare performance and safety on consensus-evaluable conversations.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
4 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.