ESF-Bench - Personalization: leaderboard

ESF-Bench (ServiceNow, 2026) slot accuracy on slots tagged with the Personalization scenario category: values relative to user persona data, including a mismatched persona. In percent, higher is better.

Metric: Tagged slot accuracy (%; slots tagged with a PER (Personalization) scenario, values relative to user persona data, including a mismatched persona; 810 synthetic multi-turn enterprise slot-filling samples (6,530 slots, 8 domains) whose prompts combine a schema, a user-assistant conversation and auxiliary sources; varied output formats mapped to a standard form before exact comparison with the ground truth; 32k maximum tokens, reasoning setting as printed per model). Source: arxiv.org. Saturation forecast: Around 2029. 10 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 32B (Thinking)66.8#960 (Qwen 3 32B)
2GPT-5.1 (Non-reasoning)64.7#229 (GPT-5.1)
3Gemini 2.5 Flash (Non-reasoning)62.3#453 (Gemini 2.5 Flash)
4Ministral-3-14B-Reasoning-251260.9#1396
5Gemini 2.5 Flash58.7#453
6Qwen 3 32B (Non-reasoning)58.2#960 (Qwen 3 32B)
7Ministral-3-14B-Instruct-251255.4#1593
8GPT-5.1 (High)47.3#229 (GPT-5.1)
9GPT-OSS-120B (High)45.7#700 (GPT-OSS-120B)
10GPT-OSS-120B (Low)42.4#700 (GPT-OSS-120B)

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

Interactive version: theaggregate.ai/benchmark?slug=esf-bench-personalization · How It Works · Data refreshed daily, snapshot 2026-11-13.