[Gemini](https://en.wikipedia.org/wiki/Gemini_(language_model)) is 📝Google's family of multimodal 📝Large Language Model (LLM)s and the AI assistant app built on them, developed by 📝DeepMind as the successor to LaMDA and PaLM 2. Announced on December 6, 2023, Gemini was built to process text, images, audio, video, and code natively within a single model.
The family has moved fast. Gemini 1.0 launched in Ultra, Pro, and Nano sizes; Gemini 1.5 introduced a 1M-token context window; Gemini 2.0 and 2.5 added agentic tool use and built-in "thinking"; and Gemini 3 arrived in November 2025. Through 2026 Google shipped a new Flash model roughly every three weeks, reaching Gemini 3.8 Flash on September 2, 2026, while its most capable Pro model, Gemini 3.1 Pro, remained in preview. The consumer app, renamed from Bard in February 2024 and extended with 📝Gemini Live voice conversations and 📝Nano Banana image editing, passed 1 billion monthly users in August 2026. Every model is indexed in the 📝Gemini Model Glossary.
Key Facts
- Developer: Google DeepMind
- Announced: December 6, 2023
- Newest model: Gemini 3.8 Flash (
gemini-3.8-flash), released September 2, 2026 - Most capable Pro model: Gemini 3.1 Pro, in preview since February 19, 2026
- Predecessors: LaMDA, PaLM 2, and the Bard chatbot
- App reach: 1 billion monthly active users as of August 11, 2026
- Status as of: September 28, 2026
I use Gemini to create the transcripts for 📝BrianBot Broadcast and related projects because it currently offers the largest context window among LLMs that integrate simply with 📝Make. This extended context capacity means I can transcribe and process long-form audio or video content in a single pass, avoiding the fragmentation or summarization required by other models. In practice, this has helped me keep the workflow for 📝BrianBot both efficient and flexible, especially as the content library grows more complex. While other models might excel in certain areas, Gemini’s combination of scale and accessibility within my automation stack makes it a practical anchor for my transcription and content processing needs.