Multi-hop search factuality
Gemini 4 Argon 94.3% Only in system cards Models with search answer multi-hop and tail-fact questions that need several sources. Reports accuracy and unfactual rate.
In-house Google DeepMind evaluation. The tasks are not public.
Made by Google DeepMind Questions that need search 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
- Short answer A number, word or short string matched to a key.
1
Model scored in lab cards
1
System card reports it, from 1 lab
Gemini 4 Argon leads with 94.3%
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 94.3%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Gemini 4 Argon | 94.3% | 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 | 94.3 | Multi-hop search factuality (internal), accuracy 94.3%, unfactual rate 2.5%, with search (Table 5.4) | Hallucination |
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