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Google’s Gemini 3: Smarter, Faster, and Free

▼ Summary

Google launched Gemini 3 Pro, its latest AI model, which it claims is the world’s best for multimodal understanding and most powerful for agentic and vibe coding.
– The model offers improved reasoning, providing smarter, more nuanced answers and excelling in Ph.D.-level tasks like science and math, supported by top benchmark scores.
– Gemini 3 Pro enhances multimodal capabilities, synthesizing information across text, images, video, audio, and code for more versatile user interactions.
– It features advanced agentic coding tools, including the new Google Antigravity platform, and can perform complex workflows like organizing Gmail or booking services for subscribers.
– The model is accessible through various Google platforms, including a redesigned Gemini app, and is noted for being Google’s most secure model after comprehensive safety evaluations.

Google has officially rolled out its latest artificial intelligence model, Gemini 3, positioning it as a smarter, faster, and more capable upgrade available at no cost. This new iteration enhances user interactions across Google’s ecosystem, including Search, Workspace, and Android, delivering what the company describes as superior multimodal understanding and advanced agentic coding capabilities. Backed by impressive benchmark results and real-world testing, Gemini 3 aims to redefine how people and developers engage with AI tools.

The initial release focuses on Gemini 3 Pro, which significantly outperforms the earlier Gemini 2.5 Pro across key AI benchmarks. For everyday users, this translates to higher-quality responses characterized by greater depth and nuance. Answers are designed to be more direct and helpful, prioritizing substance over superficial engagement. The model also demonstrates enhanced reasoning skills, tackling complex, Ph.D.-level problems in fields like science and mathematics with improved accuracy.

A standout feature is its multimodal reasoning, allowing the AI to process and synthesize information from various formats, text, images, video, audio, and code. This flexibility means you can submit queries in multiple ways and receive outputs tailored to the most suitable medium. For developers, Gemini 3 Pro represents a major leap in coding support, earning top marks on platforms like the WebDev Arena. It excels in “vibe coding” and agentic tasks, helping to plan, write, and even validate code from start to finish.

Developers can tap into these capabilities through Google AI Studio, Vertex AI, the Gemini CLI, and third-party environments such as Cursor, GitHub, and JetBrains. Additionally, Google introduced Antigravity, a new agent development platform that acts as an active coding partner. It assists in executing complex software projects and can manage intricate workflows, like reorganizing a Gmail inbox or booking services, though some advanced functions require a Google AI Ultra subscription.

On the safety front, Google emphasizes that Gemini 3 has undergone its most thorough security evaluations to date. Enhancements include reduced sycophancy, stronger defenses against prompt injections, and improved safeguards against cyberattacks. Those interested in the technical details can review the full model card for comprehensive safety assessment results.

Performance metrics underscore these claims. Gemini 3 Pro achieved a leading score of 1,501 on the LMArena Leaderboard, outperforming rival models from Anthropic, Meta, XAI, and others. It scored 91.9% on the GPQA Diamond benchmark, which tests Ph.D.-level reasoning, and earned a “Top-score” on Humanity’s Last Exam. In multimodal evaluations, it reached 81% on MMMU-Pro and 87.6% on Video MMMU. Mathematical reasoning also saw gains, with a state-of-the-art 23.4% on the Math-Arena-Apex benchmark.

Google also unveiled Gemini 3 Deep Think, a variant with even deeper intelligence and reasoning. This version scored 41% on Humanity’s Last Exam without tools and 93.8% on GPQA Diamond, showcasing its advanced cognitive abilities.

Accessing Gemini 3 is straightforward for most users. The Gemini app has been redesigned with a cleaner, modern interface, making it easier to locate created content, such as images, videos, and reports, in the “My Stuff” folder. The shopping experience now integrates product listings, comparison tables, and pricing data from Google’s Shopping Graph. Two new generative interfaces, visual layout and dynamic view, are also being tested, offering different information presentations based on user preference and task.

To use Gemini 3 in AI Mode within Search, a Google AI Pro or Ultra subscription is required. Developers can explore the model via the Gemini API in AI Studio, Antigravity, or the Gemini CLI, while enterprises have access through Vertex AI under Gemini Enterprise. This widespread availability ensures that both individual users and organizations can leverage the upgraded AI for a broad range of applications.

(Source: ZDNET)

Topics

gemini 3 98% ai benchmarks 85% multimodal reasoning 82% coding capabilities 80% performance improvements 78% Advanced Reasoning 76% model safety 75% integration platforms 74% agentic workflows 72% google antigravity 70%