SecRespond - Baseline Risk Planning: leaderboard

SecRespond (Alibaba and HKUST, 2026) incident-response agents in the OpenCode harness, scored on the checkpoints mapped to the baseline risk capability dimension across 10 compromised cloud-host cyber ranges. The score is the remediation-planning score achieved as a percent of the maximum over those checkpoints, averaged over three LLM judges; higher is better.

Metric: Planning CAP-score (%) on the Baseline Risk (BAS) capability dimension: the remediation-planning (correct and complete fix, 0-2 per checkpoint) score achieved over all checkpoints mapped to the dimension across the 10 SecRespond cyber ranges (averaged over three LLM judges); agents in the OpenCode harness with reasoning enabled; higher is better. Source: arxiv.org. Saturation forecast: Not forecast. 23 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 4.5 (Thinking)70.8#250 (Claude Sonnet 4.5)
2Claude Sonnet 4.6 (Thinking)69.8#161 (Claude Sonnet 4.6)
3Claude Opus 4.6 (Thinking)67.6#102 (Claude Opus 4.6)
4GLM-5.165.7#179
5Qwen 3.7 Max (Thinking)63.7#145 (Qwen 3.7 Max)
6Claude Opus 4.5 (Thinking)63.5#156 (Claude Opus 4.5)
7Qwen 3.6 Plus (Thinking)62.6#222 (Qwen 3.6 Plus)
8GLM-554.1#260
9Kimi K2.5 (Thinking)52.9#256 (Kimi K2.5)
10GPT-5.4 Pro (xHigh)51.9#85 (GPT-5.4 Pro)
11MiniMax-M2.751.2#518
12DeepSeek V3.2 (Thinking)50#406 (DeepSeek V3.2)
13Qwen 3.5 Plus (Thinking)49#232 (Qwen 3.5 Plus)
14Kimi K2.6 (Thinking)48.6#178 (Kimi K2.6)
15GPT-5.546.8#49

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=secrespond-baseline-risk-planning · How It Works · Data refreshed daily, snapshot 2026-11-13.