Google Unveils Gemini 3

Google has introduced Gemini 3, its most advanced foundation model so far. The model is available through the Gemini app and Google’s AI Search platform, representing a major step forward in the company’s pursuit of higher reasoning ability and more natural interactions. The release arrives only seven months after Gemini 2.5 and just days after the debut of GPT 5.1 from OpenAI. This pace shows how quickly the frontier model landscape is changing and how aggressively the competition is evolving.

Gemini 3 builds on Google’s recent work in scalable training, long context memory, and more efficient inference. It is also part of a wider strategy that includes improved developer tools and a stronger focus on safety testing. A specialised research version called Gemini Three Deepthink is expected in the coming weeks for Google AI Ultra subscribers once final safety reviews are completed.

A Record Setting Leap in Benchmark Performance

Google claims that Gemini Three marks a huge improvement in reasoning. Tulsee Doshi, who leads product for the Gemini line, described the model as offering a level of depth that the team had never seen before. Early independent benchmarks support this claim. On Humanity’s Last Exam, a broad reasoning test used across the industry, Gemini Three achieved a score of thirty seven point four. This is currently the best score ever recorded and surpasses the previous top score held by GPT Five Pro.

It also reached the top position on the LMArena leaderboard, which uses human evaluations to measure real world usefulness and satisfaction. Google says it now has more than six hundred fifty million monthly active users on the Gemini app and that over thirteen million developers use Gemini models across various software environments. These numbers reflect a strong demand for advanced conversational and reasoning driven tools.

Antigravity Introduces a New Way to Code with AI

Together with the release of Gemini 3, Google also introduced Antigravity. This is an agentic coding environment powered by the new model. It brings together a conversational prompt window similar to ChatGPT, a command line terminal, and a browser view for live feedback. This setup allows developers to inspect, test, and refine code all within one workspace.

The concept is similar to the agentic coding tools that have become popular in the industry. The goal is to help developers move faster and focus on problem solving rather than repetitive tasks. According to Koray Kavukcuoglu, the chief technology officer at Google DeepMind, the agent can move across the editor, the terminal, and the browser to guide you through an entire development workflow. This positions Antigravity as both a productivity tool and a new direction for what integrated coding environments can look like.

What Gemini 3 Means for the Future of AI

With Gemini 3, Google is making it clear that it plans to remain a leading player in the next wave of artificial intelligence progress. The race is no longer just about generating text or responding to simple prompts. The focus has shifted to deep reasoning, trustworthiness, real world performance, and tools that support complex tasks.

The arrival of Gemini 3 follows major releases from other top labs. OpenAI recently introduced GPT Five point One and Anthropic launched Sonnet Four point Five only two months earlier. Each release represents a push toward more capable systems that understand context better, solve multi step tasks, and support professional work at a larger scale.

As these models continue to advance, the differences between them will be determined by reliability, responsible design, and how well they integrate into daily workflows. Google’s investment in safety testing and developer tools suggests that the company is not only chasing performance but also aiming to build an ecosystem that users and businesses can trust.

Gemini 3 feels like a defining release for Google. It demonstrates clear improvements in reasoning, delivers record breaking benchmark results, and arrives with new tools that make the model more usable in real development environments. It also highlights the speed of innovation as the world’s leading AI labs race to shape the future of intelligent systems.

The competition is intense, but it is also pushing the industry toward smarter, more helpful, and more capable models. If Gemini Three performs as promised, it could help set the tone for the next chapter of artificial intelligence.