ClosureBench: 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 direct mode the model answers immediately; this board covers all 1,300 held-out questions at three compositional levels. Accuracy in percent; higher is better.

Metric: Accuracy (%; lenient scoring of one JSON answer per question; all three compositional levels, instance-weighted; held-out split of 1,300 generated graph questions over graph sizes 4-10, temperature 0; direct mode: answer immediately). Source: arxiv.org. Saturation forecast: Estimated already saturated. 9 models tracked.

Top models

#ModelScoreOverall rank
1O392.8#224
2Gemini 2.5 Flash87.4#452
3Claude Sonnet 481.7#397
4GPT-4.152.4#492
5GPT-4.1 Mini49.2#775
6Qwen 3.5 9B43.3#803
7Qwen 3 4B39.5#2297
8Qwen 3.5 2B33#4849
9Qwen 2.5 1.5B Instruct25.8#7518

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

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