SecRespond - Investigation and Response Quality Planning: leaderboard
SecRespond (Alibaba and HKUST, 2026) incident-response agents in the OpenCode harness, scored on the checkpoints mapped to the investigation and response quality 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 Investigation and Response Quality (Q) 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
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Sonnet 4.5 (Thinking) | 66.7 | #250 (Claude Sonnet 4.5) |
| 2 | Kimi K2.5 (Thinking) | 42.3 | #256 (Kimi K2.5) |
| 3 | GLM-5.1 | 41.1 | #179 |
| 4 | DeepSeek V3.2 (Thinking) | 36.7 | #406 (DeepSeek V3.2) |
| 5 | GPT-5.4 Pro (xHigh) | 35.5 | #85 (GPT-5.4 Pro) |
| 6 | Claude Opus 4.6 (Thinking) | 34.4 | #102 (Claude Opus 4.6) |
| 7 | Claude Sonnet 4.6 (Thinking) | 34.4 | #161 (Claude Sonnet 4.6) |
| 8 | Claude Opus 4.5 (Thinking) | 33.3 | #156 (Claude Opus 4.5) |
| 9 | MiniMax-M2.7 | 32.3 | #518 |
| 10 | Qwen 3.7 Max (Thinking) | 32.2 | #145 (Qwen 3.7 Max) |
| 11 | Qwen 3.5 Plus (Thinking) | 30 | #232 (Qwen 3.5 Plus) |
| 12 | GPT-5.2 Pro | 27.8 | #124 |
| 13 | Kimi K2.6 (Thinking) | 26.7 | #178 (Kimi K2.6) |
| 14 | GLM-5 | 25.5 | #260 |
| 15 | Qwen 3.6 Plus (Thinking) | 24.5 | #222 (Qwen 3.6 Plus) |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=secrespond-investigation-and-response-quality-planning · How It Works · Data refreshed daily, snapshot 2026-11-13.