These usually offer the most advanced models and features such as Deep Research in Gemini Advanced. Gemini Advanced users can create Gems, custom chatbots on desktop and mobile powered by Gemini models. One of the more compelling Gemini Advanced exclusives, Deep Research, leverages Gemini models with “advanced reasoning” to create detailed briefs. Technically a part of Google One, the AI Premium Plan costs $20 a month and provides access to Gemini in Google Workspace apps like Docs, Maps, Slides, Sheets, Drive, and Meet. The Gemini apps aren’t the only means of recruiting Gemini models’ assistance with tasks.
Launch
Previous debuts featured base models, followed by a flash model — a lighter, optimized and cost-efficient variant of an LLM. Google Gemini is a capable AI chatbot that’s available for free on iOS and Android, where it integrates with other Google apps, like Gmail. Gemini can be accessed online using almost any browser, by pointing it to gemini.google.com. Certain Workspace users can also access Deep Research, an in-depth reporting tool. The app is also where users can go Live with Gemini, allowing you to interact with the chatbot in real-time using your voice.
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We’ll note here that the ethics and legality of training models on public data, in some cases without the data owners’ knowledge or consent, are murky. This sets Gemini apart from models such as Google’s own LaMDA, which was trained exclusively on text data. All Gemini models were trained to be natively multimodal — that is, able to work with and analyze more than just text.
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On February 6, 2023, Google announced Bard, a generative artificial intelligence chatbot powered by LaMDA. Google had unveiled LaMDA, a prototype LLM, earlier in 2021, but it was not released to the public. In a rare move, Google co-founders Larry Page and Sergey Brin, who had stepped down from their roles as co-CEOs of Alphabet in 2019, attended emergency meetings with company executives to discuss Google’s response to ChatGPT.
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Accuracy is improving, but results still need to be cross-checked. Using it on your smartphone unlocks more features than the web-based version. Gemini isn’t immune from inaccuracies and reviews elsewhere have reported that the model can misunderstand the detail of what it’s being asked. We noted some bugs, but many of those have been ironed out since, with plenty of new features added.
At its core, Gemini is a multimodal model which can process text, code, audio and image-based queries. There’s also Gemini for Workspace, which leverages the AI model to enhance cloud-based productivity. The company’s chatbot was previously called Bard, but this was brought under the Gemini umbrella in February 2024. A rival to the likes of ChatGPT, it’s a chatbot underpinned by a powerful AI model.
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- What you will see is that game titles such as Hot Evo Bingo or Gold Rush scratch cards are so animatedly rendered that playing won’t bore you for a moment.
- Google had unveiled LaMDA, a prototype LLM, earlier in 2021, but it was not released to the public.
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- Pro was positioned as the versatile everyday model, while Nano was designed for on-device tasks like running directly on the Pixel 8 Pro.
- Subsequent updates, including the Gemini 1.5 and 3.0 series released throughout 2025, focused on reducing hallucinations, improving latency, and enhancing agentic capabilities for autonomous research and software development.
- Gemini 2.0 launched in December 2024, and is billed as a model for the agentic era.
Gemini is also available as a smartphone app for iOS and Android. Head there to interact with Gemini as a web-based chatbot. You also get native Gemini integration across a number of Google cloud-based services, including Gmail, Docs, Slides and Meet. As a result, it can’t be used as a definitive research tool.
- Gemini Advanced was upgraded to the “Gemini 1.5 Pro” language model, with Google previewing Gemini Live, a voice chat mode, and Gems, the ability to create custom chatbots.
- Pichai assured investors during Google’s quarterly earnings investor call in February that the company had plans to expand LaMDA’s availability and applications.
- Gemini 2.0 is a portfolio of LLMs developed by Google as the company’s leading generative AI technology.
- The first iteration of Gemini 2.0 that Google made generally available is Gemini 2.0 Flash, which is a successor to the Gemini 1.5 Flash model, though it outperforms the Gemini 1.5 Pro model as well.
- Google’s AI Studio platform offers templates for creating structured chat prompts with Pro.
- The first version to be released was Gemini 2.0 Flash Experimental, a high performance multimodal model, which supports tool use like Google search, and function calling for code generation.
For example, one Google model variant, Gemini 2.0 Flash Thinking, is the first Gemini version with the ability to think and reason as OpenAI o1 does. With Gemini 2.0, Google directly competes with the OpenAI o1 reasoning model. Gemini 2.0 focuses on agentic AI in multistage large language model workflows.
The Gemini 2.0 model family
Google further explores agentic AI capabilities in experimental efforts providing various agentic experiences. Those AI capabilities are powered by LLMs, a trend that persists with the Gemini 2.0 model. Google continues to increase the integration of generative AI capabilities across its products and services. With Gemini 2.0, Google also added a Gemini 2.0 Flash-Lite version that further optimizes the cost of the model.
Join the waitlist to get first access to the lowest-priced tickets and important updates. 2.0 Pro pricing has yet to be announced, and Nano is still in early access. Input refers to tokens fed into the model, while output refers to tokens that the model generates.
