ClosureBench (Chain-of-Thought) - L2 Chain: leaderboard

ClosureBench (Goria, 2026) generates graph-relational reasoning questions over small directed graphs and scores single JSON answers against reference programs, with lenient tolerances for documented ambiguities. In chain-of-thought mode the model reasons step by step before answering; this board covers the 400 chained questions of two to three steps. Accuracy in percent; higher is better.

Metric: Accuracy (%; lenient scoring of one JSON answer per question; L2 chained queries (two to three steps, 400 instances); held-out split of 1,300 generated graph questions over graph sizes 4-10, temperature 0; chain-of-thought mode: reason step by step, then answer). Source: arxiv.org. Saturation forecast: Estimated already saturated. 4 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 490.2#397
2GPT-4.189#492
3GPT-4.1 Mini88#775
4Gemini 2.5 Flash82.8#452

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

Interactive version: theaggregate.ai/benchmark?slug=closurebench-chain-of-thought-l2-chain · How It Works · Data refreshed daily, snapshot 2026-11-12.