ESF-Bench - Long and Multi-Value: leaderboard

ESF-Bench (ServiceNow, 2026) slot accuracy on slots tagged with the Long and Multi-Value scenario category: long identifiers and slots that hold several values. In percent, higher is better.

Metric: Tagged slot accuracy (%; slots tagged with a LMV (Long and Multi-Value) scenario, long identifiers and slots that hold several values; 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 February 2027. 10 models tracked.

Top models

#ModelScoreOverall rank
1GPT-OSS-120B (High)81.5#700 (GPT-OSS-120B)
2GPT-5.1 (High)78.6#229 (GPT-5.1)
3Gemini 2.5 Flash77.7#453
4GPT-OSS-120B (Low)76.3#700 (GPT-OSS-120B)
5Ministral-3-14B-Reasoning-251275.7#1396
6Qwen 3 32B (Thinking)74.3#960 (Qwen 3 32B)
7GPT-5.1 (Non-reasoning)68.5#229 (GPT-5.1)
8Gemini 2.5 Flash (Non-reasoning)63.5#453 (Gemini 2.5 Flash)
9Qwen 3 32B (Non-reasoning)59.2#960 (Qwen 3 32B)
10Ministral-3-14B-Instruct-251252.6#1593

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-long-and-multi-value · How It Works · Data refreshed daily, snapshot 2026-11-13.