Multi-hop search factuality

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
Kind: Questions that need search
Level: Expert
Scored: Graded by a model
Answers: Short answer
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

Model scored in lab cards

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.

Bars Table

94.3 Gemini 4 Argon

1 Gemini 4 Argon 94.3%

Source: Labs’ model cards

#	Model	Score	Setting	Date	Source
1	Gemini 4 Argon	94.3%		Oct 2026	Lab model card

Google DeepMind’s own number for Gemini 4 Argon passed 85% in October 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

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	94.3	Multi-hop search factuality (internal), accuracy 94.3%, unfactual rate 2.5%, with search (Table 5.4)	Hallucination

Gemini 4 Argon leads with 94.3%

Google DeepMind’s own number for Gemini 4 Argon passed 85% in October 2026

Labs report it only in system cards

One system card reports it

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