ClosureBench (Chain-of-Thought): 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 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; chain-of-thought mode: reason step by step, then answer). Source: arxiv.org. Saturation forecast: Estimated already saturated. 4 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-4.1 | 86.2 | #492 |
| 2 | GPT-4.1 Mini | 85.8 | #775 |
| 3 | Claude Sonnet 4 | 83.6 | #397 |
| 4 | Gemini 2.5 Flash | 81.3 | #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 · How It Works · Data refreshed daily, snapshot 2026-11-12.