EYT-Bench (PersonaMem-v2) - Emotion: leaderboard
Metric: Per-turn emotion accuracy (%; the target model first predicts the user emotion label from 15 classes, scored against the simulator gold label, before generating its reply; multi-turn dialogues of up to 10 turns with a persona-grounded Gemini 3.1 Pro user simulator and a Gemini 3.1 Pro judge (reasoning effort high, temperature 0); PersonaMem-v2 pool (100 dialogues; personas are free-text paragraphs distilled from long real user-assistant interactions)). Source: arxiv.org. Saturation forecast: Around December 2026. 17 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | DeepSeek V4 Pro | 75.3 |
| 2 | DeepSeek V4 Flash | 64.5 |
| 3 | GPT-5.5 | 50 |
| 4 | Gemini 3.1 Pro (Preview) (Thinking) | 42.2 |
| 5 | Claude Sonnet 4.6 | 23 |
| 6 | Claude Opus 4.7 | 19.8 |
| 7 | Qwen 3.5 397B A17B | 13.3 |
| 8 | Qwen 3.5 27B | 13.1 |
| 9 | Seed 2.0 Mini | 12.8 |
| 10 | Seed 2.0 Pro | 12.7 |
| 11 | Qwen 3.5 35B A3B | 12.4 |
| 12 | Seed 2.0 Lite | 9.4 |
Interactive version: theaggregate.ai/benchmark?slug=eyt-bench-personamem-v2-emotion · How It Works · Data refreshed daily, snapshot 2026-09-29.