CaReCoS - ZCH: leaderboard

CaReCoS (Centific, 2026) questions on ZCH neonatal and paediatric heart-sound recordings with structural diagnoses such as septal defects, answered from a mel-spectrogram image. An LLM judge scores each answer against the reference; the score is accuracy in percent, higher is better.

Metric: Accuracy (%) of one-to-two-sentence answers to clinically grounded questions about a mel-spectrogram image of the recording, judged by an LLM against the reference (strict factual matching for explicit questions, relaxed semantic matching for inferred ones); the 80 ZCH neonatal and paediatric heart-sound questions; higher is better. Source: arxiv.org. Saturation forecast: Around July 2027. 9 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.131.2#229
2Gemini 2.5 Pro28.7#266
3Gemini 2.5 Flash27.5#453
4Qwen2.5-Omni-7B15#1789

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

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