Google has officially launched Gemini 3, marking a significant milestone in the evolution of large language models. Dubbed its most intelligent offering to date, this model boasts impressive benchmarks that clearly set it apart from earlier versions. Starting today, users will experience the functionality of Gemini 3 Pro across various Google products, including Search. Additionally, the advanced reasoning model, Gemini 3 Deep Think, is set to reach Google AI Ultra subscribers post-safety testing.
For those engaged in AI discussions on social media, the anticipation surrounding Gemini 3 has been palpable, with many viewing it as a potential game-changer. Google is not shy about showcasing its achievements; they claim that Gemini 3 now leads the LMArena leaderboard, outpacing previous competitors like Grok 4.1 Thinking. Notably, Gemini 3 Pro is said to exhibit “PhD-level reasoning” based on evaluations from Humanity’s Last Exam and GPQA Diamond, while also achieving record-breaking results in mathematics on the MathArena Apex.
Does the perceived unreliability of AI benchmarks matter? For many enthusiasts, the excitement overshadowing potential discrepancies seems to prevail.
While being smarter is typically the hallmark of new LLM models, Google is also rolling out innovative features with Gemini 3. Highlighted among these is Google Antigravity, an integrated development environment (IDE) equipped with an AI agent designed to streamline coding tasks. This new tool facilitates an effortless transition of coding activities to AI, functioning seamlessly across the editor, terminal, and browser based on user commands. Gemini 3 Pro will be the default setting, but Antigravity also accommodates Claude Sonnet 4.5 and GPT-OSS agents. Users can begin testing Antigravity today on Windows, Mac, and Linux.
Beyond Antigravity, developers will gain access to Gemini 3 Pro via Google’s Vertex AI and AI Studio. Google asserts that Gemini 3’s coding benchmarks are top-notch, claiming victories on the WebDev Arena leaderboard and hitting new highs on Terminal-Bench 2.0. However, the importance of these metrics may vary among users.
The most noteworthy aspect of Gemini 3 is its integration into Search, ensuring users encounter it with every AI-generated response they receive.
The Gemini app will serve as the main platform for this model, featuring what Google describes as a “generative interface.” It offers two modes: visual layout and dynamic view. The visual layout presents a familiar experience, curating images based on user prompts. In contrast, the dynamic view allows Gemini to instantaneously create a website-style interface, complete with functional buttons for users to navigate through various information pages.
Google’s Gemini 3 enters the competitive landscape of AI, joining the ranks of leading-edge models from prominent companies. Just earlier this month, OpenAI introduced its GPT-5.1, followed closely by Elon Musk’s xAI’s Grok 4.1. With Gemini 3’s launch, Google has successfully drawn attention to itself once again. But the question remains—how long will it maintain this spotlight in the rapidly evolving AI arena?
What new features does Gemini 3 bring that set it apart from previous models?
Gemini 3 introduces impressive advancements in reasoning and coding capabilities, along with the innovative Google Antigravity IDE, aiming to streamline coding processes significantly.
Are AI benchmarks from companies like Google reliable indicators of performance?
While there are concerns about the reliability of AI benchmarks, enthusiasts often focus on the results rather than the details of how those numbers are obtained.
How can developers benefit from Gemini 3 Pro?
Developers will have access to Gemini 3 Pro through Google’s Vertex AI and AI Studio, allowing them to leverage cutting-edge coding benchmarks and functionality.
What is the significance of the Gemini app’s generative interface?
The generative interface of the Gemini app allows users to interact with information in novel ways, enhancing user engagement with dynamic outputs and curated visuals.
Where does Gemini 3 fit in the competitive AI landscape?
Gemini 3 positions itself as a leading model in the ongoing competition among AI giants, responding quickly to recent developments from competitors like OpenAI and xAI.
As the world of AI continues to advance, the launch of Gemini 3 marks an exciting chapter worth following. Dive deeper into related topics and stay informed by exploring more content at Moyens I/O.