ECG-Reasoning-Benchmark (MIMIC-IV-ECG) - 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 3,355 MIMIC-IV-ECG 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 2031. 19 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.263.41#105
2Gemini 3 Flash (Preview)60.64#78
3Gemini 2.5 Pro54.69#145
4Qwen 3 VL 32B Instruct54.3#276
5Gemini 2.5 Flash53.74#237
6Qwen 3 VL 8B Instruct53.53#401
7Llama 3.2 90B Vision Instruct52.52#611
8GPT-5 Mini (2025-08-07)51.5#165
9Llama 3.2 11B Instruct49.75#1112
10MedGemma-4B-IT49.3#842

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-mimic-iv-ecg-initial-diagnosis-accuracy · How It Works · Data refreshed daily, snapshot 2026-10-11.