CompanionBench - English - Relational Continuity: leaderboard

CompanionBench capability score for Relational Continuity: cross-session integration, thematic callbacks, tone consistency and no surveillance, averaged over English-condition companionship dialogues by a cross-family LLM judge panel (CompanionBench, arXiv 2608.02046v2, Appendix Table H.1). Mean rubric score on a 1-10 scale; higher is better. Capability means correlate strongly across capabilities.

Metric: Mean judge score (1-10). Source: arxiv.org. Saturation forecast: Around February 2027. 28 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.58.33#33
2Claude Opus 4.88.3#39
3DeepSeek V4 Pro8.18#112
4GPT-5.48.14#83
5GPT-5.18.13#145
6Claude Sonnet 4.68.07#94
7Kimi K2.68.07#113
8GLM-5.18.01#109
9GLM-58#149
10Kimi K2.57.96#152
11GLM-5.27.95#80
12Qwen 3.7 Max7.95#85
13Qwen 3.5 397B A17B7.92#154
14Qwen 3 235B A22B 2507 Instruct7.9#315
15Qwen 3.5 122B A10B7.87#184

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

Interactive version: theaggregate.ai/benchmark?slug=companionbench-english-relational-continuity · How It Works · Data refreshed daily, snapshot 2026-11-05.