healthcare benchmark
HealthBench Consensus Leaderboard
HealthBench Consensus is a HealthBench subset focused on questions with especially high agreement among physician-created rubric criteria.
Updated Sep 5, 2026
Models4
Model coverage4
MetricScore
EvidenceB
HealthBench Consensus Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score95.50% | Percentile100.00% | Participants4 | EvidenceC | Evaluated |
| Rank02 | ModelOP | Score95.10% | Percentile66.67% | Participants4 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score95.10% | Percentile33.33% | Participants4 | EvidenceC | Evaluated |
| Rank04 | ModelOP | Score94.70% | Percentile0.00% | Participants4 | EvidenceC | Evaluated |
HealthBench Consensus Highlights
The leading models and scores on this benchmark.
HealthBench Consensus Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for HealthBench Consensus
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is HealthBench Consensus?
What HealthBench Consensus measures and how its scores work.
HealthBench Consensus is a healthcare benchmark subset covering consensus-evaluable conversations.
It measures healthcare performance and safety.
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
- No
- Evaluation key
- overall
LLM Stats. 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 95.50%.
What are the top three models on HealthBench Consensus?
The current leaders are GPT-5.6 Sol (95.50%), GPT-5.6 Luna (95.10%), and GPT-5.6 Terra (95.10%).
Which HealthBench Consensus model has the lowest official input price?
GPT-5.6 Luna has the lowest matched official input price at $0.20 input / $1.2 output per 1M tokens.
Which models are fastest among HealthBench Consensus results?
The fastest matched records are GPT-5.5 Instant (206.89 tok/s via OpenAI), GPT-5.6 Terra (99.35 tok/s via OpenAI), and GPT-5.6 Luna (41.87 tok/s via OpenAI).
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.