PSEBench: leaderboard

PSEBench (2026) tests patient safety event triage: from an event narrative and the jurisdiction policy, decide whether the event is Reportable, Non-Reportable or Uncertain. Scored by three-way verdict accuracy over 5,074 complete, missing-information and gray-zone cases, in percent; higher is better.

Metric: Verdict accuracy (%, M1): three-way triage accuracy (Reportable, Non-Reportable, Uncertain) over all cases, parse failures counted wrong, on the 5,074-case MN29 benchmark (3,455 complete, 1,362 missing-information and 257 uncertain cases built from clause cards of the Minnesota 29 reportable adverse health events), agentic environment where the model may ASK a GPT-5.2 information provider within 10 turns and then answers with a verdict, clause, legal evidence and rationale; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 15 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)95.3#94
2GPT-5.594.6#49
3Claude Opus 4.792.3#79
4GPT-590.2#167
5Gemini 2.5 Flash85.8#453
6Claude Sonnet 4.684.5#161
7DeepSeek R183.7#473
8GPT-OSS-120B79#700
9Qwen 3 235B A22B 2507 Instruct76.7#619
10GPT-5 Nano71.9#889
11Mistral Small 3.260.5#1591
12Llama 3.1 8B Instruct52.4#4246

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=psebench · How It Works · Data refreshed daily, snapshot 2026-11-13.