LUNAR - Full Context: leaderboard

Personalized response quality with the complete longitudinal app-interaction logs in context, averaging GPT-5.1-judged personalization coverage and depth across daily-life domains such as clothing, food, housing and mobility (LUNAR, arXiv 2608.05246v2, Table 4). 1-5 scale; higher is better; 19 models.

Metric: Personalization score (1-5; mean of coverage and depth, GPT-5.1 judge). Source: arxiv.org. Saturation forecast: Around February 2027. 19 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash (Preview)3.9#90
2Kimi K2.63.83#113
3DeepSeek V4 Flash3.57#155
4GLM-5.13.44#109
5MiniMax-M2.73.32#270
6DeepSeek V4 Pro3.24#112
7GPT-4.1 Mini3.11#363
8Ling-2.6-1T3.06#307
9Qwen 3 30B A3B 2507 Instruct2.91#492
10GLM-4.7 Flash2.85#543
11GPT-4o Mini2.76#598
12Ling-2.6-flash2.76#533
13Qwen 3 14B (Non-reasoning)2.6#542 (Qwen 3 14B)
14Qwen 3 Next 80B A3B Instruct2.58#381
15Qwen 3 8B (Non-reasoning)2.56#678 (Qwen 3 8B)

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

Interactive version: theaggregate.ai/benchmark?slug=lunar-full-context · How It Works · Data refreshed daily, snapshot 2026-11-05.