EYT-Bench (PersonaMem-v2) - Latent Intent: 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 latent-intent label accuracy in percent on the PersonaMem-v2 pool of free-text personas distilled from real conversations; higher is better.

Metric: Per-turn latent-intent accuracy (%; the target model first predicts the user latent-intent label from 8 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 Pro79.9#188
2DeepSeek V4 Flash70.1#258
3GPT-5.547.9#49
4Gemini 3.1 Pro (Preview) (Thinking)47.3#94 (Gemini 3.1 Pro (Preview))
5Claude Opus 4.741.5#79
6Claude Sonnet 4.624.9#161
7Qwen 3.5 397B A17B15.3#246
8Qwen 3.5 35B A3B14.2#482
9Qwen 3.5 27B13.1#359
10Seed 2.0 Pro12#211
11Seed 2.0 Mini11.7#508
12Seed 2.0 Lite7.7#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-latent-intent · How It Works · Data refreshed daily, snapshot 2026-11-13.