HyperGVL - Understanding: leaderboard

Metric: Average accuracy (%) over the six understanding tasks (vertex, hyperedge, degree- and order-specified counting, neighbors, order-filtered neighbors), 7,000 questions per task (200 problems on synthetic and real-world hypergraphs, each posed in 35 textual, visual and combined hypergraph representations), accuracy (%) averaged over the representations, temperature 0.8, top-p 0.95; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 12 models tracked.

Top models

#ModelScore
1Gemini 3 Flash89.72
2Gemma 3 12B63.53
3InternVL3-8B44.96
4Qwen 2.5 VL 7B Instruct42.39

Interactive version: theaggregate.ai/benchmark?slug=hypergvl-understanding · How It Works · Data refreshed daily, snapshot 2026-10-07.