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: secitbench.cribl.io. Status: years away from saturation. 3 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.6 Terra | 71.88 |
| 2 | GPT-5.6 Sol | 71.67 |
| 3 | GPT-5.6 Luna | 60.13 |
Interactive version: theaggregate.ai/benchmark?slug=secit-bench-codex · How It Works · Data refreshed daily, snapshot 2026-09-05.