CompanionBench - English - Emotion Understanding: leaderboard
CompanionBench capability score for Emotion Understanding: understanding emotional causes, perspective-taking, anticipating how feelings evolve and defense awareness, 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
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.5 | 8.61 | #33 |
| 2 | GPT-5.4 | 8.57 | #83 |
| 3 | Claude Opus 4.8 | 8.54 | #39 |
| 4 | DeepSeek V4 Pro | 8.45 | #112 |
| 5 | Claude Sonnet 4.6 | 8.36 | #94 |
| 6 | GLM-5 | 8.36 | #149 |
| 7 | GPT-5.1 | 8.34 | #145 |
| 8 | Qwen 3.5 397B A17B | 8.32 | #154 |
| 9 | Kimi K2.6 | 8.31 | #113 |
| 10 | Qwen 3.7 Max | 8.31 | #85 |
| 11 | Kimi K2.5 | 8.27 | #152 |
| 12 | GLM-5.1 | 8.27 | #109 |
| 13 | Qwen 3 235B A22B 2507 Instruct | 8.26 | #315 |
| 14 | Qwen 3.5 122B A10B | 8.22 | #184 |
| 15 | GLM-5.2 | 8.2 | #80 |
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-emotion-understanding · How It Works · Data refreshed daily, snapshot 2026-11-05.