ECG-Reasoning-Benchmark (PTB-XL) - Initial Diagnosis Accuracy: leaderboard

Metric: Initial diagnosis accuracy (%): yes/no answer to the initial diagnostic question before any step-wise reasoning (chance 50), on the 3,076 PTB-XL samples, multi-turn ECG reasoning chains for 17 core diagnoses (balanced positive and negative cases), 12-lead ECGs given as plotted images (OpenTSLM as a 100 Hz time series), temperature 0; each step's answer is checked for semantic agreement with the ground truth by a Gemini-3-Flash judge; higher is better. Source: arxiv.org. Saturation forecast: Around 2029. 19 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.267.8#105
2Gemini 3 Flash (Preview)65.86#78
3Qwen 3 VL 32B Instruct59.73#276
4GPT-5 Mini (2025-08-07)57.85#165
5Gemini 2.5 Flash57.75#237
6Llama 3.2 90B Vision Instruct56.84#611
7Gemini 2.5 Pro55.12#145
8Qwen 3 VL 8B Instruct52.85#401
9MedGemma-4B-IT52.59#842
10Llama 3.2 11B Instruct45.75#1112

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=ecg-reasoning-benchmark-ptb-xl-initial-diagnosis-accuracy · How It Works · Data refreshed daily, snapshot 2026-10-11.