LLM Stats (SEC-bench Pro): leaderboard
SEC-bench Pro, as tracked by LLM Stats: long-horizon software-security tasks that ask a model to reproduce, diagnose and patch real vulnerabilities across a repository rather than answer a security question.
Metric: Score (%). Source: llm-stats.com. Saturation forecast: Around February 2027. 8 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 4 Carbon | 88.2 | #1 |
| 2 | GPT-6 Astra | 85.4 | #6 |
| 3 | GPT-5.6 Sol | 71.2 | #22 |
| 4 | MiMo-V2.6-Pro | 66.3 | #48 |
| 5 | DeepSeek V4.1 Flash | 62.8 | #37 |
| 6 | GPT-5.6 Terra | 57.7 | #40 |
| 7 | GPT-5.6 Luna | 48.9 | #79 |
| 8 | MiMo-V2.6-Flash | 47.5 | #74 |
No result here: #3 Claude Opus 5.5, #7 GPT-6.1 Sol, #9 Gemini 4 Argon.
Interactive version: theaggregate.ai/benchmark?slug=llm-stats-sec-bench-pro · How It Works · Data refreshed daily, snapshot 2026-11-05.