Reported in recent model launches

These model reports include this benchmark. Their harnesses, task subsets, scoring policies, and resource budgets can differ; follow each report’s evaluation notes before joining the numbers.

What it measures

A controlled software-security evaluation contributes to recent frontier-model capability comparisons.

How to read the result

Keep the original task scope and success rule visible, and separate bounded benchmark capability from operational readiness.

Limits and comparison traps

Benchmark version, safeguards, and harness differ across reports. The atlas summarizes the measurement without reproducing exploit procedures.

Benchmark reference notes

Evaluates detection and remediation of Common Weakness Enumeration (CWE) security flaws across repositories.

Where this fits in an evaluation suite

The agent wrapper is part of the system. Pin tools, dependencies, timeouts, tests, and the repository revision. Compare contest coding separately from repository maintenance.

Start with a capability hypothesis, then choose a second test with a different failure mode. Keep the checkpoint, reasoning effort, agent tools, sampling policy, and scoring procedure fixed when measuring a training intervention. Record failures and missing outputs in the denominator.

A reproducible comparison

Pin the benchmark release, task split, model configuration, tools, sampling budget, and evaluation harness described by the primary source.

Publish the exact run configuration, item coverage, score units, and available uncertainty. If a source supplies only an aggregate or a single run, preserve that limit. A new model name or a rounded score alone does not establish a capability improvement.

PRIMARY EVIDENCE & FURTHER READING

  1. Gemini 4 Argon Model Card ↗

    Google DeepMind · 2026

Reviewed 2026-10-26. Explanation and interpretation by RLTasks. Benchmark ownership remains with its original authors.