EYT-Bench (PersonaMem-v2) - Emotion: leaderboard

EYT-Bench (Enjoy Your Talk, 2026) evaluates LLMs as multi-turn conversational partners with a persona-grounded user simulator and an independent LLM judge; each turn the target model predicts the user state before replying. Per-turn emotion label accuracy in percent on the PersonaMem-v2 pool of free-text personas distilled from real conversations; higher is better.

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 February 2027. 17 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek V4 Pro75.3#188
2DeepSeek V4 Flash64.5#258
3GPT-5.550#49
4Gemini 3.1 Pro (Preview) (Thinking)42.2#94 (Gemini 3.1 Pro (Preview))
5Claude Sonnet 4.623#161
6Claude Opus 4.719.8#79
7Qwen 3.5 397B A17B13.3#246
8Qwen 3.5 27B13.1#359
9Seed 2.0 Mini12.8#508
10Seed 2.0 Pro12.7#211
11Qwen 3.5 35B A3B12.4#482
12Seed 2.0 Lite9.4#289

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=eyt-bench-personamem-v2-emotion · How It Works · Data refreshed daily, snapshot 2026-11-13.