High-risk health scenarios eval
Gemini 4 Argon 98.9% Only in system cards Adversarial health emergencies test whether models recognize urgency and red flags and direct users to help. Reports pass rate.
In-house Google DeepMind evaluation. The tasks are not public.
Made by Google DeepMind Medicine Tasks kept private Last in a system card Oct 2026
Last model added Oct 2026
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
1
Model scored in lab cards
1
System card reports it, from 1 lab
Gemini 4 Argon leads with 98.9%
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.
- 1 Gemini 4 Argon 98.9%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Gemini 4 Argon | 98.9% | Oct 2026 | Model card |
The best score passed 85% in Oct 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Reported by the lab in its model card
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 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 |
|---|---|---|---|---|
| 13 Oct 2026 | Gemini 4 Argon system card | 98.9 | High-risk health scenarios, pass rate 98.9% (Table 5.1) | Health |
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