PSEBench - Boundary Condition Hit Rate: leaderboard

A PSEBench patient safety triage dimension: the share of the boundary conditions of each case that the rationale of the model invokes consistently, judged by GPT-5.2, in percent; higher is better. PSEBench (2026) builds 5,074 verifiable cases from clause cards of the Minnesota 29 reportable adverse health events, and models may query a simulated information provider before answering.

Metric: Boundary condition hit rate (%, M4): share of the case boundary conditions that the rationale invokes consistently, judged by GPT-5.2, pooled over correctly triaged cases, 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: Around February 2027. 15 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.588#49
2Claude Sonnet 4.685.8#161
3GPT-583.9#167
4Qwen 3 235B A22B 2507 Instruct81.6#619
5Gemini 3.1 Pro (Preview)78.6#94
6Claude Opus 4.778.5#79
7Gemini 2.5 Flash77.5#453
8DeepSeek R176.5#473
9GPT-5 Nano72.5#889
10Mistral Small 3.271.4#1591
11GPT-OSS-120B68.5#700
12Llama 3.1 8B Instruct62.1#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-boundary-condition-hit-rate · How It Works · Data refreshed daily, snapshot 2026-11-13.