EQUITRIAGE: leaderboard
Emergency department triage assigns patients an acuity score that determines treatment priority, and clinical evidence documents persistent gender disparities in human acuity assessment. As hospitals pilot large language models (LLMs) as triage decision support, a critical question is whether these models reproduce or mitigate known biases. We present EQUITRIAGE, a fairness audit of LLM-based ESI
Metric: Exact% (self-reported). Source: benchmarklist.com. Saturation forecast: Around April 2027. 5 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 3 Flash | 44.3 | #99 |
| 2 | GPT-4.1 Nano | 37.4 | #731 |
| 3 | DeepSeek V3.1 | 36.4 | #264 |
| 4 | Nemotron 3 Super | 35.2 | #335 |
| 5 | Mistral Small 3.2 | 35 | #605 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=equitriage · How It Works · Data refreshed daily, snapshot 2026-10-20.