AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

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

Evaluation context and evidence

Source
LLM Stats
Publisher
Not recorded
Benchmark release
Not recorded
Collected
2026-08-17
Modality
text

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Original sources

Reported results 9

Shown in source observation order, not ranked. Dates retain the precision provided by the source.

ModelValueUnitProtocolReported date and basisSource
Muse Spark0.428Not recordedNot recorded2026-04-08 · model_announcementLLM Stats
GPT-5.6 Sol0.331Not recordedNot recorded2026-07-09 · model_announcementLLM Stats
GPT-5.6 Terra0.327Not recordedNot recorded2026-07-09 · model_announcementLLM Stats
GPT-5.6 Luna0.32Not recordedNot recorded2026-07-09 · model_announcementLLM Stats
GPT OSS 120B0.3Not recordedNot recorded2025-08-05 · model_announcementLLM Stats
GPT-5.3 Chat0.259Not recordedNot recorded2026-03-04 · model_announcementLLM Stats
GPT-5.5 Instant0.229Not recordedNot recorded2026-05-05 · model_announcementLLM Stats
GPT OSS 20B0.108Not recordedNot recorded2025-08-05 · model_announcementLLM Stats
GPT-50.016Not recordedNot recorded2025-08-07 · model_announcementLLM Stats