Google's Gemini models
Google's family of high-performing AI models, considered 'exceptional' by the speakers. Their strength is attributed to being tightly coupled with Google's custom TPU hardware, which provides a significant performance and capability advantage.
entitydetail.created_at
7/19/2025, 8:28:52 AM
entitydetail.last_updated
7/22/2025, 5:14:30 AM
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7/19/2025, 8:33:28 AM
Summary
Google's Gemini models are a family of multimodal large language models developed by Google DeepMind, serving as the successor to LaMDA and PaLM 2. Announced on December 6, 2023, the Gemini family includes Gemini Ultra, Gemini Pro, Gemini Flash, and Gemini Nano, and is positioned as a direct competitor to OpenAI's GPT-4. Gemini also powers a chatbot of the same name. In March 2025, Gemini 2.5 Pro Experimental was recognized for its high competitiveness. Google's strategy with Gemini exemplifies deep vertical integration in AI, a key factor for success in the current technology sector's AI arms race.
Referenced in 1 Document
Research Data
Extracted Attributes
Type
Multimodal Large Language Models (LLMs)
Developer
Google DeepMind
Applications
Powers Gemini chatbot, Project Astra (universal AI agent)
Key Versions
Gemini Ultra, Gemini Pro, Gemini Flash, Gemini Nano, Gemini 1.0, Gemini 1.5 Pro, Gemini 1.5 Flash, Gemini 2.0 Flash, Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 2.5 Flash-Lite
Successor To
LaMDA, PaLM 2
Core Capability
Multimodal processing (audio, images, software code, text, video inputs; text and image outputs)
Underlying Hardware
TPUs (Tensor Processing Units)
Strategic Importance
Exemplifies deep vertical integration in AI
Timeline
- Google's Word2Vec paper proposed novel model architectures for mapping words as mathematical concepts, laying groundwork for future large language models. (Source: web_search_results)
2013
- Google introduced a neural conversational model, demonstrating how models could predict the next sentence in a conversation, leading to more natural interactions. (Source: web_search_results)
2015
- The Gemini family of models, including Gemini Ultra, Gemini Pro, and Gemini Nano, was officially announced by Google DeepMind. (Source: summary, Wikipedia)
2023-12-06
- Gemini 2.5 Pro Experimental was rated as highly competitive. (Source: summary, Wikipedia)
2025-03
Wikipedia
View on WikipediaGemini (language model)
Gemini is a family of multimodal large language models (LLMs) developed by Google DeepMind, and the successor to LaMDA and PaLM 2. Comprising Gemini Ultra, Gemini Pro, Gemini Flash, and Gemini Nano, it was announced on December 6, 2023, positioned as a competitor to OpenAI's GPT-4. It powers the chatbot of the same name. In March 2025, Gemini 2.5 Pro Experimental was rated as highly competitive.
Web Search Results
- What is Google Gemini? | IBM
# What is Google Gemini? ## Authors Staff Writer Editorial Lead, AI Models ## What is Google Gemini? Gemini is Google’s large language model (LLM). More broadly, it’s a family of multimodal AI models designed to process multiple modalities or types of data, including audio, images, software code, text and video. [...] ### Universal AI agents Through Project Astra, Google is building on its Gemini models to create a universal AI agent that can process, remember and understand multimodal information in real time. To improve recall and efficiency, Project Astra harnesses caching, continuous encoding of video frames and coupling speech and video input into a timeline of events.14 [...] Unlike generative pretrained transformer (GPT) models that take only text-based prompts or diffusion models used for image generation that take both text and image prompts, Google Gemini supports interleaved sequences of audio, image, text and video as inputs and can produce interleaved text and image outputs.2 ## Gemini AI model versions The Gemini family of multimodal AI models comes in multiple variants. Each variant is optimized for different devices and tasks.
- Gemini models | Gemini API | Google AI for Developers
On this page Model variants Gemini 2.5 Pro Gemini 2.5 Flash Gemini 2.5 Flash-Lite Preview Gemini 2.5 Flash Native Audio Gemini 2.5 Flash Preview Text-to-Speech Gemini 2.5 Pro Preview Text-to-Speech Gemini 2.0 Flash Gemini 2.0 Flash Preview Image Generation Gemini 2.0 Flash-Lite Gemini 1.5 Flash Gemini 1.5 Flash-8B Gemini 1.5 Pro Imagen 4 Imagen 3 Veo 2 Gemini 2.5 Flash Live [...] On this page Model variants Gemini 2.5 Pro Gemini 2.5 Flash Gemini 2.5 Flash-Lite Preview Gemini 2.5 Flash Native Audio Gemini 2.5 Flash Preview Text-to-Speech Gemini 2.5 Pro Preview Text-to-Speech Gemini 2.0 Flash Gemini 2.0 Flash Preview Image Generation Gemini 2.0 Flash-Lite Gemini 1.5 Flash Gemini 1.5 Flash-8B Gemini 1.5 Pro Imagen 4 Imagen 3 Veo 2 Gemini 2.5 Flash Live [...] ### Gemini 1.5 Pro Try Gemini 2.5 Pro Preview, our most advanced Gemini model to date. Gemini 1.5 Pro is a mid-size multimodal model that is optimized for a wide-range of reasoning tasks. 1.5 Pro can process large amounts of data at once, including 2 hours of video, 19 hours of audio, codebases with 60,000 lines of code, or 2,000 pages of text. Try in Google AI Studio #### Model details
- Introducing Gemini: our largest and most capable AI model
Now, we’re taking the next step on our journey with Gemini, our most capable and general model yet, with state-of-the-art performance across many leading benchmarks. Our first version, Gemini 1.0, is optimized for different sizes: Ultra, Pro and Nano. These are the first models of the Gemini era and the first realization of the vision we had when we formed Google DeepMind earlier this year. This new era of models represents one of the biggest science and engineering efforts we’ve undertaken as [...] On TPUs, Gemini runs significantly faster than earlier, smaller and less-capable models. These custom-designed AI accelerators have been at the heart of Google's AI-powered products that serve billions of users like Search, YouTube, Gmail, Google Maps, Google Play and Android. They’ve also enabled companies around the world to train large-scale AI models cost-efficiently. [...] This promise of a world responsibly empowered by AI continues to drive our work at Google DeepMind. For a long time, we’ve wanted to build a new generation of AI models, inspired by the way people understand and interact with the world. AI that feels less like a smart piece of software and more like something useful and intuitive — an expert helper or assistant. Today, we’re a step closer to this vision as we introduce Gemini, the most capable and general model we’ve ever built.
- An overview of the Gemini app
Gemini is an interface to a multimodal LLM (handling text, audio, images and more). Gemini is based on Google’s cutting-edge research in LLMs, which began with the Word2Vec paper in 2013 that proposed novel model architectures that mapped words as mathematical concepts, followed by the introduction of a neural conversational model in 2015. This framework demonstrated how models could predict the next sentence in a conversation based on the previous sentence or sentences, leading to more natural
- Gemini - Google DeepMind
Gemini - Google DeepMind =============== Build with our next generation AI systems ----------------------------------------- Explore models chevron_right ### Gemini Our most intelligent AI models Image 1 2.5 ProImage 2 2.5 FlashImage 3 2.5 Flash-Lite Learn more ### Gemma Lightweight, state-of-the-art open models Image 4 Gemma 3Image 5 Gemma 3nImage 6 ShieldGemma 2 Learn more ### Generative models Image, music and video generation models Image 7 ImagenImage 8 LyriaImage 9 Veo