GraphVerse - Graph Coloring - Accuracy: leaderboard

GraphVerse (arXiv 2608.06769v1, Table 1): multimodal models solve for a graph coloring of a co-authorship graph, reading a rendered graph image altered by recoloring, patch perturbation, composition or attention focusing. Answer accuracy on the 80-item testmini split for this task, in percent; higher is better.

Metric: Answer accuracy (%; testmini). Source: arxiv.org. Saturation forecast: Around June 2027. 19 models tracked.

Top models

#ModelScoreOverall rank
1GLM-4.6V41.2#330
2Qwen-VL-Max41.2#475
3Gemini 3 Pro40#82
4Gemini 3 Flash37.5#103
5Kimi K2.5 (Thinking)37.5#152 (Kimi K2.5)
6GPT-5.236.2#115
7O133.8#190
8Grok 4 Fast27.5#266
9InternVL3-38B25#413
10InternVL3-8B10#624
11Qwen 3.5 35B A3B10#268
12Qwen 3.5 4B10#514
13QVQ-72B-Preview1.2#458

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=graphverse-graph-coloring-accuracy · How It Works · Data refreshed daily, snapshot 2026-11-05.