ECG-Reasoning-Benchmark (MIMIC-IV-ECG) - Diagnosis Given Reference Reasoning: leaderboard

Metric: Diagnosis accuracy (%) at the final decision step when the complete ground-truth reasoning history is supplied in the prompt (GT-RDA), 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: Estimated already saturated. 19 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash (Preview)91.25#78
2Gemini 2.5 Flash89.73#237
3Llama 3.2 90B Vision Instruct88.39#611
4Gemini 2.5 Pro88.06#145
5Qwen 3 VL 32B Instruct88#276
6Qwen 3 VL 8B Instruct86.19#401
7GPT-5.283.83#105
8GPT-5 Mini (2025-08-07)75.65#165
9Llama 3.2 11B Instruct74.31#1112
10MedGemma-4B-IT30.72#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-diagnosis-given-reference-reasoning · How It Works · Data refreshed daily, snapshot 2026-10-11.