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HealthBench Hard

Progress Over Time

Interactive timeline showing model performance evolution on HealthBench Hard

State-of-the-art frontier
Open
Proprietary

HealthBench Hard Leaderboard

10 models
ContextCostLicense
1
21.1M$5.00 / $30.00
31.1M$2.00 / $12.00
41.1M$0.20 / $1.20
5117B131K$0.04 / $0.17
6128K$1.75 / $14.00
7400K$5.00 / $30.00
8
ByteDance
ByteDance
256K$0.10 / $0.40
921B131K$0.03 / $0.14
10
OpenAI
OpenAI
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About this benchmark

What is HealthBench Hard?

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

HealthBench Hard is a text benchmark evaluating models on healthcare tasks. LLM Stats tracks 10 models on this benchmark, scored on a 0–1 scale. The current average is 0.2, with the leader at 0.4.

Compare leaders on the best AI for healthcare leaderboards.

Current leaders

Muse Spark from Meta currently leads the HealthBench Hard leaderboard with a score of 0.428 across 10 evaluated AI models.

1Muse SparkMeta42.8%
2GPT-5.6 SolOpenAI33.1%
3GPT-5.6 TerraOpenAI32.7%
OSSGPT OSS 120B#5 open-weight30.0%

FAQ

Common questions about the HealthBench Hard benchmark and leaderboard.

What is the HealthBench Hard 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

What is the HealthBench Hard leaderboard?

The HealthBench Hard leaderboard ranks 10 AI models based on their performance on this benchmark. Currently, Muse Spark by Meta leads with a score of 0.428. The average score across all models is 0.247.

What is the highest HealthBench Hard score?

The highest HealthBench Hard score is 0.428, achieved by Muse Spark from Meta.

How many models are evaluated on HealthBench Hard?

10 models have been evaluated on the HealthBench Hard benchmark, with 0 verified results and 10 self-reported results.

Where can I find the HealthBench Hard paper?

The HealthBench Hard paper is available at https://arxiv.org/abs/2505.08775. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does HealthBench Hard cover?

HealthBench Hard is categorized under healthcare. The benchmark evaluates text models.

What is the best open-source model on HealthBench Hard?

GPT OSS 120B by OpenAI is the top-ranked open-source model on HealthBench Hard, with a score of 0.300 (rank #5).

How is HealthBench Hard scored?

HealthBench Hard is scored using mean_score, reported on a 0–1 scale. Lower is better only when explicitly noted; on this leaderboard, higher scores indicate better performance.

How recent are the HealthBench Hard leaderboard results?

The HealthBench Hard leaderboard was last updated in September 2026 and currently includes 10 evaluated models.