AsymLoop - Five-shot - ARC-Easy: leaderboard

AsymLoop (2026): research-trained Dense,Full LoopK2 andAsymLoopK3 at matched effective depth; scale labels follow paper, with1.68B/3B/7B/20Btraining tokens. LM Evaluation Harness Five-shot downstream accuracy; unrelated public checkpoints are not aliases. Accuracy (%).

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 12 models tracked.

Top models

#ModelScoreOverall rank
1AsymLoop Study 1B AsymLoop K3 Base73.4
2AsymLoop Study 1B Full Loop K2 Base70.54
3AsymLoop Study 1B Dense Base69.57
4AsymLoop Study 350M AsymLoop K3 Base64.48
5AsymLoop Study 350M Full Loop K2 Base60.02
6AsymLoop Study 350M Dense Base59.93
7AsymLoop Study 135M AsymLoop K3 Base53.66
8AsymLoop Study 135M Full Loop K2 Base50.72
9AsymLoop Study 135M Dense Base50.21
10AsymLoop Study 60M AsymLoop K3 Base45.71

Interactive version: theaggregate.ai/benchmark?slug=asymloop-five-shot-arc-easy · How It Works · Data refreshed daily, snapshot 2026-10-22.