AI Tool Profile

Gemini Passport: Access, Limits & Privacy Boundaries

Gemini is Google's general-purpose AI assistant for writing, learning, research, planning, coding, and multimodal work across text, images, audio, video, and connected Google services.

Verification & Sources

Evidence state
Recheck due
Source links
1
Freshness
Needs recheck: checked July 14, 2026
Last updated
August 10, 2026
What this evidence state means
Definition
The claim was previously checked, but its review window expired or a material change may have invalidated it.
Required provenance
The prior evidence and check date are retained, together with the expiry or change signal that triggered recheck.
Owner
Kingy freshness queue owner and assigned editorial reviewer
Freshness rule
This is already outside its freshness rule. It must not be presented as current until reviewed against current evidence.
Disputes and corrections
Use “Suggest a correction” on the record. Kingy editorial reviews the cited evidence, records material corrections, and changes or removes the state when it is not supported.

Key source checks

Suggest a correction

Form submissions, correction notes, score details, URLs, and analytics events may be stored for editorial review, spam prevention, product improvement, and follow-up. Do not submit secrets, unreleased financials, private customer data, or regulated personal data through these forms.

Kingy Product Passport · public-copy candidate

Gemini

Gemini Apps access and protections vary with account, geography, language, age, plan, capacity and administration.

Source-only assessment. Kingy has not hands-on tested this product.
KAI-PAS-003Last source check: 2026-08-0918-claim Gold cohort

Bottom line

Google separates personal Gemini Apps from qualifying work and school use, while capacity-based limits can change and the Gemini API remains a different product surface.

Before you use it

Confirm the account type, Workspace edition, administrator settings and geography before relying on a generic Gemini statement.

What can change

Limits are compute- and capacity-dependent and may change; this Passport intentionally avoids freezing quota numbers.

What the official sources support

availability

Google documents Gemini Apps eligibility and availability separately for personal, qualifying work and school accounts, with country, language, age and administrator conditions.

Applies to: Gemini Apps; account, geography, language and age conditions apply · Evidence: gemini-access

limits

Gemini Apps limits depend on the plan, feature, prompt complexity and capacity; Google states limits may change and can include rolling or weekly constraints.

Applies to: Personal-account Gemini Apps limits; exact quota varies · Evidence: gemini-limits

privacy

For qualifying work or school accounts, Google documents enterprise-grade data protections whose coverage depends on the Workspace edition and administrator configuration.

Applies to: Named work/school Workspace editions only · Evidence: gemini-workspace-protection

scope

Gemini Apps documentation and settings do not establish Gemini API pricing, rate limits or developer data-use terms.

Applies to: Product boundary statement supported by separate Gemini Apps sources · Evidence: gemini-privacy, gemini-access

Scope

Gemini Apps for personal, work and school accounts, with account type explicit.

Excluded: Gemini API and Google AI Studio; Workspace editions not named by the cited protection page; unsupported countries, languages or ages

Evidence still missing

  • No exact quota numbers are approved because the source makes them capacity- and plan-dependent.
  • Consumer activity-retention details need a separate claim-level review before publication.
  • No Kingy test across personal and managed accounts or geographies.

Official sources

Freshness and corrections

Source checked 2026-08-09. No correction form or intake is enabled. Until a public correction workflow has an owner and retention policy, corrections are handled only through a separately authorized editorial process.

Launch History

AI Research Tools

Gemini 2.5 thinking model

Google launched Gemini 2.5 Pro Experimental as a thinking model focused on reasoning, coding, multimodal analysis, and long-context work.

Recheck due Free: No API: Yes Open: No
Clear use caseBeginner-friendlyBusiness-friendlyDeveloper-friendly
Launch readiness
6.9 / 10
Demo evidence
Not scored yet
Creator-story fit
Not scored yet
Score definitions and rubric

These are launch-record readiness heuristics, not product ratings.

Launch readiness

How complete and reviewable the launch record is, not the quality of the product.

Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.

Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.

Demo evidence

Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.

Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.

Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.

Creator-story fit

Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.

Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.

Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.

Scale
0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
Assigned by
Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
Rubric and check date
Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-06-08.
Confidence and missing data
Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
Freshness
Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
Disputes
Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.

Google launched Gemini 2.5 Pro Experimental as a thinking model for reasoning, coding, multimodal analysis, and long-context work, in AI Studio and for Gemini…

AI Agents

Introducing Gemini 2.0

Google introduced Gemini 2.0 as a model family for the agentic era, with native multimodality, tool use, Project Astra, Project Mariner, Jules, and Gemini Deep Research.

Recheck due Free: Yes API: Yes Open: No
Clear use caseBusiness-friendlyDeveloper-friendlyTraction signal
Launch readiness
7.8 / 10
Demo evidence
Not scored yet
Creator-story fit
Not scored yet
Score definitions and rubric

These are launch-record readiness heuristics, not product ratings.

Launch readiness

How complete and reviewable the launch record is, not the quality of the product.

Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.

Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.

Demo evidence

Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.

Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.

Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.

Creator-story fit

Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.

Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.

Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.

Scale
0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
Assigned by
Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
Rubric and check date
Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-07-10.
Confidence and missing data
Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
Freshness
Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
Disputes
Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.

Google introduced Gemini 2.0 as a model family for the agentic era — native multimodality and tool use, shipped first as a Flash experimental…