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iPrefBench Personalization

Agents · 2026-10-26

iPrefBench's personalization score: the fraction of each task's personalization criteria satisfied, each a user-dependent decision whose value must match the user's intent and is either inferable from the activity history or obtainable only by asking (about 2.9 per task), macro-averaged over the 130 tasks, in percent. Same tasks, runs and Claude Sonnet 5 judge as task success.

Top models (higher is better)

ModelScore
Claude Opus 569.4
Sonnet 564.8
Kimi K363.9
Gemini 3.1 Pro Preview60.9
Qwen3.8-Flash-Next58.6
Gemini 3.7 Flash55.1
Qwen3.8 27B54.4
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