Gemini — Google DeepMind

A colorful, concise explainer of the Gemini family of multimodal models, their evolution, and where they fit in the AI ecosystem.

What is Gemini?

Gemini is a family of multimodal large language models developed by Google DeepMind and Google AI. It was introduced as a successor to earlier Google models and designed to process and reason across text, images, audio, and code — enabling applications from chat assistants to creative image generation and advanced code reasoning. :contentReference[oaicite:0]{index=0}

History & evolution

The Gemini era began with public announcements and staged rollouts in 2023 and 2024. Google positioned Gemini as a multimodal successor that would power new experiences across Search, Workspace, Pixel phones, and developer tools. Over time the family has expanded into performance-focused variants like Flash and reasoning-focused releases such as Gemini 2.5. :contentReference[oaicite:1]{index=1}

Key capabilities

  • Multimodal understanding: handles text, images, audio and — in some modes — video and code in the same context.
  • Reasoning and “thinking” modes: newer releases (e.g., Gemini 2.5) are explicitly optimized to "reason through" intermediate steps before answering, which improves accuracy on complex tasks. :contentReference[oaicite:2]{index=2}
  • On-device to cloud scale: variants range from compact models for phones to larger pro/ultra models for servers and cloud APIs.
  • Creative generation: image generation, editing, and multimodal creative workflows have been folded into the Gemini product set in iterations since launch. :contentReference[oaicite:3]{index=3}

Real-world milestones

Gemini 2.5 has been showcased in competi