Google announces Gemini 3 as battle with OpenAI intensifies

Google said it can make a custom-built interactive loan calculator or an interactive simulation about a complicated physics problem. Google also announced a new agent platform called “Google Antigravity,” which lets developers code “at a higher, task-oriented level.” OpenAI said in August that ChatGPT hit 700 million weekly users. The Gemini app now has 650 million monthly active users and AI Overviews has 2 billion monthly users, the company said.

Following its release, Nano Banana was made available in the Gemini app, Google AI Studio, and through Vertex AI. It also provides SynthID watermarking, which is an invisible digital signature in outputs to identify AI-generated information. Google later confirmed its identity as Gemini 2.5 Flash Image in an official announcement upon public release. It was released publicly on August 26, 2025 through the Gemini app and related Google AI services. It first appeared publicly as an anonymous model on the crowd-sourced AI evaluation platform LMArena in early August 2025. “Nano Banana” was the codename used for the model while it was undergoing secret public testing on LMArena.

In August 2023, The Information published a report outlining Google’s roadmap for Gemini, revealing that the company was targeting a launch date of late 2023. Hassabis highlighted the daman game app strengths of DeepMind’s AlphaGo program, which gained worldwide attention in 2016 when it defeated Go champion Lee Sedol, saying that Gemini would combine the power of AlphaGo and other Google–DeepMind LLMs. Comprising Gemini Pro, Gemini Flash, and Gemini Lite, it was announced on December 6, 2023.

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The model lets users change hairstyles, change backdrops, and mix photos, using natural language cues. Upon release, it became a viral Internet sensation on social media, particularly for its photorealistic “3D figurine” images. On release 3.0 Pro outperformed major AI models in 19 out of 20 benchmarks tested, including surpassing OpenAI’s GPT-5 Pro in Humanity’s Last Exam, with an accuracy of 41% compared to OpenAI’s 31.64%, and topped the LMArena leaderboard. Two updated Gemini models, Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002, were released on September 24, 2024. Multiple publications viewed this as a response to Meta and others open-sourcing their AI models, and a stark reversal from Google’s longstanding practice of keeping its AI proprietary.

Google announces Gemini 3 as battle with OpenAI intensifies

Google announced Gemini, a large language model (LLM) developed by subsidiary Google DeepMind, during the Google I/O keynote on May 10, 2023. Developers will be able to access the Gemini API and businesses will be able to integrate it through Vertex AI, the Google cloud service designed for building, deploying and managing AI models. It will be able to analyze a question and create a layout with visual elements such as images, tables and grids.

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These new models replace 2.5 Pro and Flash, and are the most powerful models available as of November 2025. Gemini 2.5 Pro was introduced as the most advanced Gemini model, featuring reasoning, coding capabilities, and the new Deep Think mode for complex tasks. On January 30, 2025, Google released Gemini 2.0 Flash as the new default model, with Gemini 1.5 Flash still available for usage.

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They also introduced Gemini 2.5 Flash-Lite that same day, a model optimized for speed and cost-efficiency. The next day, Google announced that Gemini in Android Studio would be able to understand simple UI mockups and transform them into working Jetpack Compose code. Gemini 2.0 was available through the Gemini chat interface for all users as “Gemini 2.0 Flash experimental”.

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Input images may be of different resolutions, while video is inputted as a sequence of images. Nano Banana showed good performance in architectural visualization, for producing imagery at the correct scale even with complex geometry. A September 2025 review in TechRadar reported that Nano Banana was more realistic and consistent across multiple prompts than ChatGPT’s image generation. Multi-image fusion joins photographs into one seamless output, and world knowledge allows context-aware changes. Nano Banana (officially Gemini 2.5 Flash Image) is an image generation and editing model powered by generative artificial intelligence and developed by Google DeepMind, a subsidiary of Google.

Additionally, Google Colab is integrating Gemini 2.0 to generate data science notebooks from natural language. Key features include a Multimodal Live API for real-time audio and video interactions, enhanced spatial understanding, native image and controllable text-to-speech generation (with watermarking), and integrated tool use, including Google Search. This iteration boasts improved speed and performance over its predecessor, Gemini 1.5 Flash.

Touted as Google’s “largest and most capable AI model” and designed to emulate human behavior, the company stated that Gemini would not be made widely available until the following year due to the need for “extensive safety testing”. Other products that Google intended to incorporate Gemini into included Search, Ads, Chrome, Duet AI on Google Workspace, and AlphaCode 2. At launch, Gemini Pro and Nano were integrated into Bard and the Pixel 8 Pro smartphone, respectively, while Gemini Ultra was set to power “Bard Advanced” and become available to software developers in early 2024. On December 6, 2023, Pichai and Hassabis announced “Gemini 1.0” at a virtual press conference.

As an example, the company asked Gemini to “explain the Van Gogh Gallery with life context for each piece.” The result was a colorful, image-based explanation for each painting. Google said the new model will enable “generative interfaces,” providing certain answers in a way that resembles a digital magazine. Vibe coding refers to a rapidly emerging market of tools that allow software developers to generate code with prompts. Gemini 3 is the company’s “best vibe coding model ever,” Josh Woodward, vice president of Google Labs and Gemini, told reporters in a briefing.

Launch and adoption

• Gemini Ultra was also the first language model to outperform human experts on the 57-subject Massive Multitask Language Understanding (MMLU) test, obtaining a score of 90%.
• Published benchmarks also showed areas where contemporary models from competitors like Anthropic, xAI, or OpenAI held advantages.
• Following its release, Nano Banana was made available in the Gemini app, Google AI Studio, and through Vertex AI.
• These new models replace 2.5 Pro and Flash, and are the most powerful models available as of November 2025.
• On release 3.0 Pro outperformed major AI models in 19 out of 20 benchmarks tested, including surpassing OpenAI’s GPT-5 Pro in Humanity’s Last Exam, with an accuracy of 41% compared to OpenAI’s 31.64%, and topped the LMArena leaderboard.

A text-to-image variant of the Gemini family of large language models, it was launched in August 2025 as a feature within the Gemini chatbot and other Google products. On March 12, 2025, Google also announced Gemini Robotics, a vision-language-action model based on the Gemini 2.0 family of models. Additionally, Google released Gemini 2.0 Flash Thinking Experimental, which details the language model’s thinking process when responding to prompts. Unlike other LLMs, Gemini was said to be unique in that it was not trained on a text corpus alone and was designed to be multimodal, meaning it could process multiple types of data simultaneously, including text, images, audio, video, and computer code. Gemini is a family of multimodal large language models (LLMs) developed by Google DeepMind, and the successor to LaMDA and PaLM 2. For corporate customers, Gemini 3 can do things like create employee onboarding and trainings, more accurately analyze videos and factory floor images, and handle procurement, the company said.

Initial reviews highlighted its improved reasoning capabilities and performance gains compared to previous versions. Professor Chirag Shah of the University of Washington was less impressed, likening Gemini’s launch to the routineness of Apple’s annual introduction of a new iPhone. Reacting to its unveiling in December 2023, University of Washington professor emeritus Oren Etzioni predicted a “tit-for-tat arms race” between Google and OpenAI. Gemini’s launch was preceded by months of intense speculation and anticipation, which MIT Technology Review described as “peak AI hype”. The different modes can be interleaved and do not have to be presented in a fixed order, allowing for a multimodal conversation. A review in Tom’s Guide praised its ability to handle creative and lively image edits.

• It will be able to analyze a question and create a layout with visual elements such as images, tables and grids.
• Google later confirmed its identity as Gemini 2.5 Flash Image in an official announcement upon public release.
• Hassabis highlighted the strengths of DeepMind’s AlphaGo program, which gained worldwide attention in 2016 when it defeated Go champion Lee Sedol, saying that Gemini would combine the power of AlphaGo and other Google–DeepMind LLMs.
• The next day, Google announced that Gemini in Android Studio would be able to understand simple UI mockups and transform them into working Jetpack Compose code.
• Professor Alexei Efros of the University of California, Berkeley praised the potential of Gemini’s multimodal approach, while scientist Melanie Mitchell of the Santa Fe Institute called Gemini “very sophisticated”.

OpenAI, which kicked off the generative AI boom in late 2022 with the public launch of ChatGPT, introduced GPT-5 in August. Gemini 3 will be integrated into the Gemini app, Google’s AI search products AI Mode and AI Overviews, as well as its enterprise products. Google is debuting its latest artificial intelligence model, Gemini 3, as the search giant races to keep pace with ChatGPT creator OpenAI.

It also introduces improved agentic capabilities, a new Google Gen AI SDK, and “Jules,” an experimental AI coding agent for GitHub. On December 11, 2024, Google announced Gemini 2.0 Flash Experimental, a significant update to its Gemini AI model. Google announced an additional model, Gemini 1.5 Flash, on May 14 at the 2024 I/O keynote.

“It’s amazing to think that in just two years, Al has evolved from simply reading text and images to reading the room,” Pichai wrote in one of Tuesday’s posts. Published benchmarks also showed areas where contemporary models from competitors like Anthropic, xAI, or OpenAI held advantages. Professor Alexei Efros of the University of California, Berkeley praised the potential of Gemini’s multimodal approach, while scientist Melanie Mitchell of the Santa Fe Institute called Gemini “very sophisticated”. In August 2023, Dylan Patel and Daniel Nishball of research firm SemiAnalysis penned a blog post declaring that the release of Gemini would “eat the world” and outclass GPT-4, prompting OpenAI CEO Sam Altman to ridicule the duo on X (formerly Twitter). Gemini and Gemma models are decoder-only transformers, with modifications to allow efficient training and inference on TPUs. Gemini’s dataset is multimodal and multilingual, consisting of “web documents, books, and code, and including image, audio, and video data”.

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The new AI model will allow users to get better answers to more complex questions, “so you get what you need with less prompting,” Alphabet CEO Sundar Pichai said in one of several blog posts Google published Tuesday. The model achieved state-of-the-art or highly competitive results across various benchmarks evaluating reasoning, knowledge, science, math, coding, and long-context performance, such as Humanity’s Last Exam, GPQA, AIME 2025, SWE-bench and MRCR. Another review in PC Gamer mentioned that the model did not have some basic editing tools like cropping, and that the product sometimes did not apply changes, but reverted back to the original image instead. By adding the model to X, users could tag Nano Banana directly in posts to make photos from prompts, which made it even more popular. According to Google, it helped attract over 10 million new users to the Gemini app and facilitated more than 200 million image edits within weeks of launch.

In February, 2024, Google launched Gemini 1.5 in a limited capacity, positioned as a more powerful and capable model than 1.0 Ultra. In June, 2025 Google introduced Gemini CLI, an open-source AI agent that brings the capabilities of Gemini directly to the terminal, offering advanced coding, automation, and problem-solving features with generous free usage limits for individual developers. Gemini Ultra was also the first language model to outperform human experts on the 57-subject Massive Multitask Language Understanding (MMLU) test, obtaining a score of 90%. With news of Gemini’s impending launch, OpenAI hastened its work on integrating GPT-4 with multimodal features similar to those of Gemini.