PersonaMem v1 - 128K - Revisit Reasons Behind Preference Updates: leaderboard

PersonaMem v1 measures evolving user preferences across multi-session conversation histories using 128K-token context and discriminative multiple-choice response selection. This series measures Revisit Reasons Behind Preference Updates accuracy. Printed figure values are rounded to 0.01 and converted to percentages; not the 1M, RAG, or generative setting. Source: arXiv 2504.14225v1 Figure 3 and authors' results_qa_types.png.

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 15 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4.184#258
2DeepSeek R183#262
3Gemini 2.0 Flash79#351
4GPT-4o77#357
5Gemini 1.5 Flash77#620
6Gemini 2.0 Flash Lite77#455
7Llama 4 Maverick76#486
8GPT-4.576#278
9O4 Mini75#185
10O175#190
11O3 Mini72#282
12GPT-4o Mini70#598
13Claude 3.5 Haiku64#571
14Claude 3.7 Sonnet57#259

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

Interactive version: theaggregate.ai/benchmark?slug=personamem-v1-128k-revisit-reasons-behind-preference-updates · How It Works · Data refreshed daily, snapshot 2026-11-05.