July 1, 2025
Google/Gemini
Gemini is Google’s family of AI models, built to handle text, code, and other data types, with tight integration across Google’s apps and services.
Core Information
Founded
2023
CEO
Sundar Pichai
Company
Alphabet Inc
Notable Models
Gemini 2.5
Brief History
Remember Bard?
That was Google’s first AI chatbot, released to compete with ChatGPT. Yet in late 2023, Google decided to rebrand and broaden its ambition. Bard became Gemini, and the change was more than cosmetic.
Gemini is built on Google’s DeepMind, the team that produced groundbreaking AI victories such as AlphaGo.
Unlike Bard, Gemini was designed from the ground up to be multimodal, and thus understands not just text and code, but also images, audio, video, you name it.
It’s not just a chatbot. It’s an AI assistant, coder, researcher and creative thinker, all in one.
Main Features
- True Multimodal Intelligence
- Deep Research + Workspace Integration
- Advanced Coding Support
- Multilingual, Multicultural Understanding
- Long-Form Memory (for Advanced Users)
- Built-in Safety and Transparency
- Continual Learning & Updates
Pricing
Latest Articles
June 27, 2025
Google Increased its Carbon Emissions
June 26, 2025
Google Adds Gemini AI To Sheets To Generate Text
June 25, 2025
Google Releases Gemini CLI
June 24, 2025
Google Launches AI Mode in India
June 3, 2025
Did DeepSeek Train Its AI on Gemini? What We Know So Far
May 30, 2025
Gemini Now Summarizes Long Emails Without Your Consent
May 30, 2025
Google AI Glitch Confuses 2025 for 2024
May 22, 2025
Google Launches SynthID Detector to Spot AI-Generated Content
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Frequently Asked Questions
You can use Gemini through its web interface, Android app, or via integration in Google products like Search and Workspace. Advanced features are available with a subscription for work
Gemini was built from the start to be multimodal, meaning it can process and reason across different types of data at once. It also integrates deeply with Google’s services.
Sundar Pichai is the CEO of Google and Alphabet, while Demis Hassabis leads Google DeepMind, the division responsible for Gemini’s core AI models.
Google has implemented extensive safety checks and ethical guidelines to minimize bias and harmful outputs. The company continues to refine these protections as Gemini evolves.