ExCyTIn-Bench: leaderboard

ExCyTIn-Bench (Microsoft) has LLM agents investigate eight multi-stage attacks by querying a MySQL copy of Microsoft Sentinel logs from a controlled Azure tenant, answering 589 test questions within 25 steps at temperature 0. Reward is 1 for a correct answer, else decayed partial credit for intermediate evidence, graded by GPT-4o; the board shows the total average from 0 to 1, higher is better.

Metric: Total average reward over the 589 test questions (0-1, partial credit). Source: github.com. Saturation forecast: Around February 2027. 28 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.50.61#87
2GPT-5.1 (High)0.58#145 (GPT-5.1)
3GPT-5 (High)0.56#105 (GPT-5)
4GPT-5 (Medium)0.54#105 (GPT-5)
5GPT-5.1 (Medium)0.54#145 (GPT-5.1)
6Claude Sonnet 4.50.49#148
7O30.46#132
8GPT-5.1 (Low)0.45#145 (GPT-5.1)
9GPT-5 (Low)0.38#105 (GPT-5)
10GPT-5 Mini0.37#193
11O4 Mini0.37#185
12Grok 40.34#189
13GPT-4.10.34#258
14GPT-5.1 (Non-reasoning)0.32#145 (GPT-5.1)
15Gemini 2.5 Flash0.31#255

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=excytin-bench · How It Works · Data refreshed daily, snapshot 2026-11-05.