ESF-Bench - Conditionals: leaderboard

ESF-Bench (ServiceNow, 2026) slot accuracy on slots tagged with the Conditionals scenario category: slot values that depend on stated conditions. In percent, higher is better.

Metric: Tagged slot accuracy (%; slots tagged with a COND (Conditionals) scenario, slot values that depend on stated conditions; 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-5.1 (High)88.4#229 (GPT-5.1)
2Gemini 2.5 Flash88.1#453
3GPT-OSS-120B (High)87.2#700 (GPT-OSS-120B)
4GPT-OSS-120B (Low)85.5#700 (GPT-OSS-120B)
5Qwen 3 32B (Thinking)75#960 (Qwen 3 32B)
6Ministral-3-14B-Reasoning-251274.4#1396
7GPT-5.1 (Non-reasoning)64.2#229 (GPT-5.1)
8Gemini 2.5 Flash (Non-reasoning)60.7#453 (Gemini 2.5 Flash)
9Qwen 3 32B (Non-reasoning)59#960 (Qwen 3 32B)
10Ministral-3-14B-Instruct-251254.7#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-conditionals · How It Works · Data refreshed daily, snapshot 2026-11-13.