Google Gemini
Google's most capable multimodal AI model family, powering Search, Workspace, and more.
Overview
Google Gemini is the flagship AI model family from Google DeepMind, available in Ultra, Pro, and Nano variants. Designed from the ground up as multimodal, Gemini can reason across text, images, video, audio, and code simultaneously — a significant departure from models bolted together from separate systems.
Gemini Pro powers Google's consumer AI assistant at gemini.google.com and is deeply integrated into Google Workspace products including Docs, Sheets, Gmail, and Meet. The Ultra variant targets complex reasoning tasks that require sustained multi-step thinking, while Nano runs on-device for Android phones.
With a 1-million-token context window in Gemini 1.5 Pro, users can feed in entire codebases, books, or hours of video for analysis. The model is available via Google AI Studio for developers and through the Gemini API with generous free quotas. In Southeast Asia, Gemini is integrated into Pixel devices and available in English across the region.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 9 May 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
Use cases
ASEAN Perspective
Google Gemini in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Gemini is one of the three frontier chat assistants alongside ChatGPT and Claude, with genuinely strong multimodal reasoning, a very large context window, and tight integration into Workspace, Android and Search. The free tier is generous and the paid Google AI Pro/Ultra plans bundle it with Drive storage and other Google services, which is good value if you already live in that ecosystem. It suits anyone using Google products day to day, plus developers who want a single vendor across consumer and Cloud.
Honest caveats: model behaviour and naming change frequently, output quality can be uneven on hard reasoning versus rivals depending on the week, and Google's habit of renaming and re-tiering products makes long-term planning harder. ASEAN availability and language coverage are strong, though some advanced features land in the region later than in the US.
Notable facts
- Gemini 1.5 Pro has a 1-million-token context window — long enough to fit all of Shakespeare's works plus the entire Harry Potter series.
- The name 'Gemini' refers to the twin stars Castor and Pollux, symbolising the model's ability to handle both language and vision simultaneously.
- Google embedded Gemini Nano directly into the Pixel 8 chipset so it runs entirely offline without sending data to the cloud.
Frequently asked questions
About this listing
This entry was compiled from publicly available data including Google Gemini's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Google Gemini unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to Google Gemini directly →
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