Internal vulnerability research
Gemini 4 Argon 72% Agents find a vulnerability from an entry point, with or without source, then write a working exploit. Based on Google red team exercises.
In-house Google DeepMind evaluation. The tasks are not public.
- Made by
- Google DeepMind
- Kind
- Finding and exploiting real bugs
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- Kept private
- Strongest model tested
- Gemini 4 Argon #9 on the capability index
- Last in a system card
- October 2026
- Last model added
- October 2026
Gemini 4 Argon leads with 72%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Gemini 4 Argon | 72% | Oct 2026 | Lab model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Oct 13, 2026 | Gemini 4 Argon system card | 72 | Internal vulnerability research, find and exploit pass@1 72% (7.1.3) | Cyber risk |
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