ITBench-AA: leaderboard

Artificial Analysis implementation of IBM's ITBench SRE benchmark, testing AI agents on Kubernetes incident root-cause analysis from offline incident snapshots.

Metric: Average Precision at Full Recall (imported). Source: artificialanalysis.ai. Source: benchmarklist.com. Saturation forecast: Around September 2027. 23 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.5 (xHigh)45.8#31 (GPT-5.5)
2Qwen 3.7 Max42.5#75
3Gemini 3.5 Flash (High)40.3#60 (Gemini 3.5 Flash)
4GLM-5.1 (Thinking)40.3#97 (GLM-5.1)
5DeepSeek V4 Pro (Reasoning, Max Effort)38.3#102 (DeepSeek V4 Pro)
6MiMo-V2.5-Pro38.2#158
7Gemma 4 31B (Reasoning)37.3#200 (Gemma 4 31B)
8Qwen 3.5 27B (Reasoning)35.5#187 (Qwen 3.5 27B)
9GPT-5.4 Mini (xHigh)35.2#212 (GPT-5.4 Mini)
10GPT-5.4 (xHigh)34.5#79 (GPT-5.4)
11Qwen 3.5 397B A17B (Reasoning)34.1#146 (Qwen 3.5 397B A17B)
12Grok 4.3 (High)32.7#188 (Grok 4.3)
13DeepSeek V4 Flash (Reasoning, Max Effort)31.5#137 (DeepSeek V4 Flash)
14Kimi K2.631.2#104
15Gemini 3.1 Pro (Preview)30.3#58

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

Interactive version: theaggregate.ai/benchmark?slug=itbench-aa · How It Works · Data refreshed daily, snapshot 2026-10-20.