Gemini

What is Gemini?

Gemini is Google’s flagship AI model lineup, a result of efforts from Google’s unified AI units, Google DeepMind and Google Research, and the name Gemini (Latin for twins) represents the merger of these units. 

Gemini is available via a web interface at gemini.google.com, a dedicated Android app, via API, and integration with Google Search and Workspace apps. 

Google has a strong focus on helping users access AI across Google’s ecosystem. Therefore, Gemini is built to work with Google apps like Gmail, Maps, and YouTube in the Android mobile experience.

Gemini is a successor to earlier Google model lines like PaLM for many use cases, and serves as Google’s primary foundation model going forward.

Gemini’s Multimodality Power

Gemini was trained on a massive dataset consisting of a mix of text, images, audio, and video. This allows it to:

• Reason across formats: You can ask something like, “Based on this video of a car engine and this PDF manual, what part needs fixing?”.
• Coding: Gemini 3 is said to offer a much better visual polish in coding, often generating more refined UI/UX designs than text-first models.
• Video Understanding: Gemini can watch a video and tell you exactly at what second a specific event happened. Since it is integrated into the Google ecosystem, it can access YouTube videos via their URL, something that ChatGPT isn’t yet capable of.

Gemini Variants

Gemini is offered in multiple variants, each optimized for different performance, latency, and capability needs. Below are some of the variants.

• Gemini 3.0 Pro/Flash for text-based conversations, coding, etc.
• Nano Banana for image generation
• Veo for video generation
• Lyria for music generation

The Pro model is for complex tasks and advanced reasoning, while the Flash model is built for speed.

Gemini’s Strategic Advantage

Gemini’s long-term advantage may lie less in its standalone capabilities and more in its distribution. Google already operates at a massive scale across Search, Android, Chrome, Gmail, Maps, and YouTube, which are part of the daily workflow for billions of users. 

This allows Gemini to be introduced through existing products rather than requiring users to adopt a new tool.

Gemini's success is more likely to be through steady integration and becoming part of Google products users are already familiar with.