HPR-Bench - Tag Inference: leaderboard

User-profile inference from long behavioural histories (HPR-Bench, UserGPT Technical Report, Xuan et al., 2026): given one user's multi-source e-commerce and service history, the model answers single- and multiple-choice questions about 18 profile attributes in five dimensions. The score is Avg@10, the accuracy averaged over ten sampled answers and over the 18 attributes, in percent; higher is better.

Metric: Avg@10 Tag Accuracy (%; mean of 10 samples over 18 profile tags). Source: arxiv.org. Saturation forecast: Around February 2027. 15 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.6 Plus (Thinking)73.29#217 (Qwen 3.6 Plus)
2GLM-5 (Thinking)71.86#256 (GLM-5)
3Qwen 3.5 397B A17B (Thinking)71.65#242 (Qwen 3.5 397B A17B)
4Qwen 3.5 Plus (Thinking)71.54#227 (Qwen 3.5 Plus)
5Kimi K2.5 (Thinking)70.64#252 (Kimi K2.5)
6GLM-4.7 (Thinking)69.38#365 (GLM-4.7)
7DeepSeek V3.2 (Thinking)66.84#403 (DeepSeek V3.2)
8DeepSeek R1 052866.13#425
9Kimi K2 (Thinking)65.56#435 (Kimi K2)
10Qwen 3 235B A22B 2507 (Thinking)64.34#460
11Qwen 3 235B A22B 2507 Instruct52.44#619
12Qwen 3 8B (Thinking)50.35#1838 (Qwen 3 8B)
13Qwen 3 8B (Non-reasoning)46.12#1838 (Qwen 3 8B)

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

Interactive version: theaggregate.ai/benchmark?slug=hpr-bench-tag-inference · How It Works · Data refreshed daily, snapshot 2026-11-12.