DALPHIN (Contextual) - Neoplasm Detection: leaderboard
Deciding whether a neoplasm is present in the histopathology images of the 300 cases of the DALPHIN pathology copilot benchmark (Lems et al., 2026), with the tissue type given. Matthews correlation coefficient against the contributing pathologist's answer (-1 to 1); higher is better. Contextual scenario: each case's questions are asked in sequence within one conversation, so earlier answers stay in context.
Metric: Matthews correlation coefficient (-1 to 1; is a neoplasm present, yes or no, 300 cases, tissue type given; contextual scenario: all questions of a case asked in sequence in one conversation). Source: arxiv.org. Saturation forecast: Around February 2027. 3 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.5 Pro (Medium) | 0.62 | #262 (Gemini 2.5 Pro) |
| 2 | GPT-5 (Medium) | 0.54 | #163 (GPT-5) |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=dalphin-contextual-neoplasm-detection · How It Works · Data refreshed daily, snapshot 2026-11-12.