ESF-Bench - Reasoning: leaderboard

ESF-Bench (ServiceNow, 2026) slot accuracy on slots tagged with the Reasoning scenario category: multi-step mathematical or temporal reasoning, counting or general knowledge inference. In percent, higher is better.

Metric: Tagged slot accuracy (%; slots tagged with a REA (Reasoning) scenario, multi-step mathematical or temporal reasoning, counting or general knowledge inference; 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)64.2#229 (GPT-5.1)
2Gemini 2.5 Flash64#453
3GPT-OSS-120B (High)60.4#700 (GPT-OSS-120B)
4Ministral-3-14B-Reasoning-251254.5#1396
5Qwen 3 32B (Thinking)53.8#960 (Qwen 3 32B)
6GPT-OSS-120B (Low)52.7#700 (GPT-OSS-120B)
7GPT-5.1 (Non-reasoning)23.4#229 (GPT-5.1)
8Gemini 2.5 Flash (Non-reasoning)22.1#453 (Gemini 2.5 Flash)
9Qwen 3 32B (Non-reasoning)20.6#960 (Qwen 3 32B)
10Ministral-3-14B-Instruct-251217.6#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-reasoning · How It Works · Data refreshed daily, snapshot 2026-11-13.