In early 2024, Google suspended the model’s ability to generate images of people after users reported historical inaccuracies and bias in its depictions of human subjects. Commentators have highlighted the models’ benchmarks in coding and retrieval tasks as competitive with OpenAI’s GPT-4 and GPT-5. The 1.5 and 3.0 model generations introduced extended context windows, enabling the analysis of large datasets such as entire codebases, long-form videos, or extensive document archives in a single prompt. Google distributes the technology in varying capacities, ranging from efficient on-device versions (“Nano”) and cost-effective, high-throughput variants (“Flash”) to high-compute models designed for complex reasoning (“Pro” and “Ultra”). The latest Gemini model launch has been accompanied by a series of major Google application releases or previews tied into the new model.
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.
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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.
Pichai revealed on March 31 that the company intended to “upgrade” Bard by basing it on PaLM, a newer and more powerful LLM from Google, rather than LaMDA. Shortly after Bard’s initial launch, Google reorganized the team behind Google Assistant, the company’s virtual assistant, to focus on Bard instead. Bard is trained by third-party contractors hired by Google, including Appen and Accenture workers, whom Business Insider and Bloomberg News reported were placed under extreme pressure, overworked, and underpaid.
- Nano Banana (Gemini 2.5 Flash Image) has become a viral hit thanks to its ability to edit photos with character consistency, realism and prompt-based precision.
- The app is also where users can go Live with Gemini, allowing you to interact with the chatbot in real-time using your voice.
- Gemini is separate and distinct from the Gemini apps on the web and mobile (formerly Bard).
- Gemini is also available as a smartphone app for iOS and Android.
- In Google’s Vertex AI platform, developers can customize Gemini Pro to specific contexts and use cases via a fine-tuning or “grounding” process.
- A rival to the likes of ChatGPT, it’s a chatbot underpinned by a powerful AI model.
- Outside of the mobile and web-based versions of Gemini there are some premium and developer focused products.
While Gemini as a chatbot might get most of the new models and attention from AI aficionados, most of the eyes on AI will be going to Gemini on mobile. The other side of Google takes those models and puts them into products. DeepMind and Google AI lead the research and release the models. Google is both a research and a product company. At the same time the company also made a surprising foray into open model territory, with the launch of the free Gemma product.
Get instant access to breaking news, the hottest reviews, great deals and helpful tips. Google has plans to integrate Veo 3 into YouTube Shorts, making AI-generated video even more accessible. Nano Banana (Gemini 2.5 Flash Image) has become a viral hit thanks to its ability to edit photos with character consistency, realism and prompt-based precision. The company also released 1.5 Flash variants, optimized for speed and efficiency. In early 2024, Google followed up with the Gemini 1.5 series, which added more to the already capable model. Pro was positioned as the versatile everyday model, while Nano was designed for on-device tasks like running directly on the Pixel 8 Pro.
- Optimized for smartphones and tablets, the interface provides seamless access to all platform features without sacrificing quality.
- It was later rolled out to Samsung Galaxy devices beginning with the Galaxy S25 series in July 2025, and subsequently expanded to models like the Z Fold 7 and Z Flip 7, where it became part of the Galaxy AI suite.
- 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 1.5 and 3.0 model generations introduced extended context windows, enabling the analysis of large datasets such as entire codebases, long-form videos, or extensive document archives in a single prompt.
- Bard gained the ability to assist in coding in April, being compatible with more than 20 programming languages at launch.
- On Android developers can even use the Gemini Nano model in their own apps without having to use a cloud-based, or costly model to perform basic tasks.
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The standard version of Gemini is free to use online and through mobile apps. It will integrate with other Google apps, pulling in data from the likes of Gmail and Google Maps. As an AI chatbot, it can provide reasoned, context-aware responses to natural language prompts.
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Reuters calculated that adding ChatGPT-like features to Google Search could cost the company $6 billion in additional expenses by 2024, while research and consulting firm SemiAnalysis calculated that it would cost Google $3 billion. In January 2023, Google Brain’s sister company DeepMind CEO Demis Hassabis hinted at plans for a ChatGPT rival, and Google employees were instructed to accelerate progress on a ChatGPT competitor, intensively testing “Apprentice Bard” and other chatbots. In November 2022, OpenAI launched ChatGPT, a chatbot based on the GPT-3 family of large language models (LLMs). 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.
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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. Complex problem solving Improved logical analysis Tool calling (search, code execution) The following chart outlines the Gemini 2.0 model jungliwin family and each LLM’s respective focus and capabilities. On Dec. 19, 2024, Google announced Gemini 2.0 Flash Thinking, an experimental model variant with more reasoning capabilities than the base Gemini 2.0 Flash model.
Importantly, this feature now reaches into Google Workspace and enterprise accounts, not just personal profiles. It enables low-latency, natural, back-and-forth voice conversations, complete with visual cues and deep app integration. Today, both the classic Assistant and Gemini Chat coexist on Android, giving users a choice between familiarity and brainier AI. Since then, Gemini chat has become the conversational backbone across a host of Google products — from Android Assistant to Chrome, Google Photos, and Workspace. Google’s chatbot narrative has evolved rapidly, and, true to Silicon Valley form, the naming conventions have gotten a little murky. What can be said with certainty is that Gemini 2.0 Flash Experimental is an extremely capable and performant AI model all round.