healthcare benchmark
HealthBench Leaderboard
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 17, 2026
Models9
Model coverage9
MetricScore
EvidenceB
HealthBench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score60.2% | Percentile100.0% | Participants9 | EvidenceC | Evaluated |
| Rank02 | ModelMA | Score58.0% | Percentile87.5% | Participants9 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score57.6% | Percentile75.0% | Participants9 | EvidenceC | Evaluated |
| Rank04 | ModelOP | Score57.0% | Percentile62.5% | Participants9 | EvidenceC | Evaluated |
| Rank05 | ModelOP | Score57.0% | Percentile50.0% | Participants9 | EvidenceC | Evaluated |
| Rank06 | ModelOP | Score55.8% | Percentile37.5% | Participants9 | EvidenceC | Evaluated |
| Rank07 | ModelOP | Score54.1% | Percentile25.0% | Participants9 | EvidenceC | Evaluated |
| Rank08 | ModelOP | Score51.4% | Percentile12.5% | Participants9 | EvidenceC | Evaluated |
| Rank09 | ModelOP | Score42.5% | Percentile0.0% | Participants9 | EvidenceC | Evaluated |
HealthBench Highlights
The leading models and scores on this benchmark.
HealthBench Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for HealthBench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis healthbench AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ACQwen3.8 MaxAlibaba Cloud / Qwen Team
- Score
- 60.2%
- Price
- $2.0 input / $6.0 output per 1M tokens
Strengths
- Ranks #1 of 9 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures HealthBench, not total model capability
- 02MAKimi K2-Thinking-0905Moonshot AI
- Score
- 58.0%
- Price
- $0.60 input / $2.5 output per 1M tokens
Strengths
- Ranks #2 of 9 compared models
- 88th percentile on this benchmark
- C evidence result
Considerations
- This result measures HealthBench, not total model capability
- 03OPGPT OSS 120BOpenAI
- Score
- 57.6%
- Speed
- Up to 500 tok/s via Groq
Strengths
- Ranks #3 of 9 compared models
- 75th percentile on this benchmark
- C evidence result
Considerations
- This result measures HealthBench, not total model capability
- 04OPGPT-5.6 SolOpenAI
- Score
- 57.0%
- Price
- $5.0 input / $30 output per 1M tokens
- Speed
- Up to 27 tok/s via OpenAI
Strengths
- Ranks #4 of 9 compared models
- 63th percentile on this benchmark
- C evidence result
Considerations
- This result measures HealthBench, not total model capability
- 05OPGPT-5.6 TerraOpenAI
- Score
- 57.0%
- Price
- $2.0 input / $12 output per 1M tokens
- Speed
- Up to 35 tok/s via OpenAI
Strengths
- Ranks #5 of 9 compared models
- 50th percentile on this benchmark
- C evidence result
Considerations
- This result measures HealthBench, not total model capability
Selection summary
Best AI Models for HealthBench
Qwen3.8 Max currently leads HealthBench with 60.2%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
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.