Gemini is Google's multimodal AI model family and consumer AI assistant, designed to understand and generate text, code, images, audio, and video natively. Developed by Google DeepMind, Gemini addresses the need for a truly multimodal AI that can reason across different types of data simultaneously rather than processing each modality separately. Available through the Gemini app, Google AI Studio, and Vertex AI, it serves as Google's primary AI offering for both consumers and developers.
Gemini's architecture is trained natively on multiple data types, giving it a fundamental advantage in tasks that combine text, visual, and audio understanding. The model family includes Gemini 3 Pro for maximum intelligence, Flash variants for speed-optimized tasks, and Nano for on-device deployment. Notable features include Gemini Live for real-time verbal conversations with camera and screen sharing, Deep Think mode for extended multi-stream reasoning, a 1 million token context window for processing large codebases and documents, and Veo 3 for generating videos with sound. Jules serves as Google's asynchronous coding agent, and Gemini CLI brings terminal-based AI assistance to developers.
Gemini is deeply integrated into Google's ecosystem, connecting with Google Workspace apps like Calendar, Tasks, Drive, and Gmail. Developers access Gemini through the Gemini API and Google AI Studio for prototyping, while enterprise teams use Vertex AI for production deployment with full security and compliance controls. The platform supports image generation with Imagen, code generation, and data analysis, making it a versatile tool for creative professionals, developers, researchers, and business teams. Gemini competes with ChatGPT and Claude as a top-tier AI assistant, with its tight Google integration as a key differentiator.
Gemini 4 Argon, Google's newest frontier model, became generally available on October 13, 2026. Google positions it for long-horizon software engineering, enterprise knowledge work, and cybersecurity defense. It is available through the paid tier of the Gemini API in AI Studio, to enterprises via Gemini for business, to Google AI Ultra subscribers in Google Antigravity, and to Google AI Pro and Ultra subscribers in the Gemini app. The Gemini API offers a 1M unified input-output token limit for Argon. Introductory API pricing is $2 per 1M input tokens and $10 per 1M output tokens (cached input 95% off) until November 30, 2026; after that it is $4 per 1M input and $20 per 1M output.
