ESF-Bench - Schema Constraints: leaderboard

ESF-Bench (ServiceNow, 2026) slot accuracy on slots tagged with the Schema Constraints scenario category: regex, semantic, unit and cross-slot schema constraints, defaults and normalization rules. In percent, higher is better.

Metric: Tagged slot accuracy (%; slots tagged with a SC (Schema Constraints) scenario, regex, semantic, unit and cross-slot schema constraints, defaults and normalization rules; 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)83.8#700 (GPT-OSS-120B)
2Gemini 2.5 Flash82.5#453
3GPT-OSS-120B (Low)82.4#700 (GPT-OSS-120B)
4GPT-5.1 (High)80.7#229 (GPT-5.1)
5Ministral-3-14B-Reasoning-251277.1#1396
6GPT-5.1 (Non-reasoning)77.1#229 (GPT-5.1)
7Qwen 3 32B (Thinking)74.6#960 (Qwen 3 32B)
8Gemini 2.5 Flash (Non-reasoning)70.5#453 (Gemini 2.5 Flash)
9Ministral-3-14B-Instruct-251264.9#1593
10Qwen 3 32B (Non-reasoning)62.1#960 (Qwen 3 32B)

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-schema-constraints · How It Works · Data refreshed daily, snapshot 2026-11-13.