healthcare benchmark
HealthBench Hard Leaderboard
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 17, 2026
Models9
Model coverage9
MetricScore
EvidenceC
HealthBench Hard Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelME | Score42.8% | Percentile100.0% | Participants9 | EvidenceC | Evaluated |
| Rank02 | ModelOP | Score33.1% | Percentile87.5% | Participants9 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score32.7% | Percentile75.0% | Participants9 | EvidenceC | Evaluated |
| Rank04 | ModelOP | Score32.0% | Percentile62.5% | Participants9 | EvidenceC | Evaluated |
| Rank05 | ModelOP | Score30.0% | Percentile50.0% | Participants9 | EvidenceC | Evaluated |
| Rank06 | ModelOP | Score25.9% | Percentile37.5% | Participants9 | EvidenceC | Evaluated |
| Rank07 | ModelOP | Score22.9% | Percentile25.0% | Participants9 | EvidenceC | Evaluated |
| Rank08 | ModelOP | Score10.8% | Percentile12.5% | Participants9 | EvidenceC | Evaluated |
| Rank09 | ModelOP | Score1.6% | Percentile0.0% | Participants9 | EvidenceC | Evaluated |
HealthBench Hard Highlights
The leading models and scores on this benchmark.
HealthBench Hard Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for HealthBench Hard
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis healthbench hard 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.
- 01MEMuse SparkMeta
- Score
- 42.8%
Strengths
- Ranks #1 of 9 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures HealthBench Hard, not total model capability
- 02OPGPT-5.6 SolOpenAI
- Score
- 33.1%
- Price
- $5.0 input / $30 output per 1M tokens
- Speed
- Up to 27 tok/s via OpenAI
Strengths
- Ranks #2 of 9 compared models
- 88th percentile on this benchmark
- C evidence result
Considerations
- This result measures HealthBench Hard, not total model capability
- 03OPGPT-5.6 TerraOpenAI
- Score
- 32.7%
- Price
- $2.0 input / $12 output per 1M tokens
- Speed
- Up to 35 tok/s via OpenAI
Strengths
- Ranks #3 of 9 compared models
- 75th percentile on this benchmark
- C evidence result
Considerations
- This result measures HealthBench Hard, not total model capability
- 04OPGPT-5.6 LunaOpenAI
- Score
- 32.0%
- Price
- $0.20 input / $1.2 output per 1M tokens
- Speed
- Up to 49 tok/s via OpenAI
Strengths
- Ranks #4 of 9 compared models
- 63th percentile on this benchmark
- C evidence result
Considerations
- This result measures HealthBench Hard, not total model capability
- 05OPGPT OSS 120BOpenAI
- Score
- 30.0%
- Speed
- Up to 500 tok/s via Groq
Strengths
- Ranks #5 of 9 compared models
- 50th percentile on this benchmark
- C evidence result
Considerations
- This result measures HealthBench Hard, not total model capability
Selection summary
Best AI Models for HealthBench Hard
Muse Spark currently leads HealthBench Hard with 42.8%. 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 Hard?
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.
- Family
- HealthBench Hard
- Modality
- text
- Primary category
- healthcare
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- healthbench-hard|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about HealthBench Hard.
Which model scores highest on HealthBench Hard?
Muse Spark is currently ranked first with 42.8%.
What does HealthBench Hard measure?
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
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.