Gemini

Gemini is Google's most advanced family of multimodal large language models, developed by Google DeepMind — the AI research lab formed in April 2023 by merging Google Brain and DeepMind. First announced in December 2023 by Google CEO Sundar Pichai and DeepMind CEO Demis Hassabis, Gemini represents Google's flagship effort in generative AI.

What distinguishes Gemini from many competing AI models is that it was built multimodal from the ground up. Unlike systems that process text and images through separate pipelines bolted together, Gemini was trained simultaneously on text, images, audio, video, and code — enabling native, seamless understanding across all these modalities within a single unified model.

Gemini is available in multiple versions designed for different use cases and deployment contexts. Gemini Ultra is the most capable variant, optimized for highly complex tasks and research-grade performance. Gemini Pro offers a balance between performance and efficiency for a wide range of everyday applications. Gemini Nano is optimized for on-device deployment, enabling AI capabilities directly on mobile devices without requiring a cloud connection.

The model's architecture employs a Mixture of Experts (MoE) approach in some variants, where the model activates only the most relevant "expert" neural sub-networks for each type of input, improving efficiency and specialization. Gemini 1.5 introduced an unprecedented 1 million token context window, allowing the model to process and reason over extremely long inputs — including entire codebases, long films, or book-length documents.

Gemini integrates deeply with Google's ecosystem. It powers AI features in Google Search, Google Workspace (Docs, Sheets, Slides, Gmail), Google Maps, and Android. The model supports over 40 languages with high-quality multilingual generation and understanding.

Gemini 2.0 and subsequent versions introduced enhanced agentic capabilities — the ability to take actions, use tools, and complete multi-step tasks autonomously, including native image generation, text-to-speech synthesis, and real-time audio and video interactions through the Multimodal Live API.