SecIT Bench (Codex): leaderboard
The SecIT Bench scenario set run inside the Codex agent product rather than a plain model harness. Scored identically to the Pydantic AI board, and kept separate because the scaffold is part of what is being measured: GPT-5.6 Terra scores 71.9 here against 69.4 under the plain harness.
Metric: Accuracy (%). Source: cribl.io. Saturation forecast: Around January 2027. 3 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.6 Terra | 71.88 | #41 |
| 2 | GPT-5.6 Sol | 71.67 | #19 |
| 3 | GPT-5.6 Luna | 60.13 | #68 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=secit-bench-codex · How It Works · Data refreshed daily, snapshot 2026-10-20.