CORE-Bench v1.1 (CORE-Agent): leaderboard

Metric: Task accuracy (%) on the 39 CORE-Bench v1.1 tasks (CORE-Bench Hard with 15 task errors and 20 shortcut tasks fixed plus 10 new tasks): reproduce a paper's computational results from its code capsule given only the README, code and data, and answer the task questions; the CORE-Agent scaffold of the original benchmark, reasoning as labeled; higher is better. Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 3 models tracked.

Top models

#ModelScore
1CORE-Agent + Claude Opus 4.6100
2CORE-Agent + Claude Opus 4.582.1
3CORE-Agent + GPT-5.4 (Medium)51.3

Interactive version: theaggregate.ai/benchmark?slug=core-bench-v1-1-core-agent · How It Works · Data refreshed daily, snapshot 2026-09-29.