HPR-Bench - Tag Inference - Geographic Context: leaderboard

Resident city tier and regional preference inferred from a user's long multi-source behavioural history in HPR-Bench (UserGPT Technical Report, Xuan et al., 2026), asked as single- or multiple-choice questions. Avg@10 accuracy, averaged over ten sampled answers, in percent; higher is better.

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

Top models

#ModelScoreOverall rank
1Qwen 3.6 Plus (Thinking)79.93#217 (Qwen 3.6 Plus)
2GLM-5 (Thinking)78.38#256 (GLM-5)
3Kimi K2.5 (Thinking)78.34#252 (Kimi K2.5)
4Qwen 3.5 397B A17B (Thinking)78.04#242 (Qwen 3.5 397B A17B)
5Qwen 3.5 Plus (Thinking)77.81#227 (Qwen 3.5 Plus)
6Qwen 3 235B A22B 2507 (Thinking)74.78#460
7GLM-4.7 (Thinking)74.43#365 (GLM-4.7)
8DeepSeek R1 052874.24#425
9DeepSeek V3.2 (Thinking)73.14#403 (DeepSeek V3.2)
10Kimi K2 (Thinking)69.37#435 (Kimi K2)
11Qwen 3 235B A22B 2507 Instruct53.41#619
12Qwen 3 8B (Thinking)45.99#1838 (Qwen 3 8B)
13Qwen 3 8B (Non-reasoning)41.3#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-geographic-context · How It Works · Data refreshed daily, snapshot 2026-11-12.