Google Gemini 3 launches with new coding tools

The quick answer

Google launched its latest AI model, Gemini 3. Here is what you need to know to get started:

1. Access the new model: You can use Google Gemini 3 immediately through the Gemini app and its AI search interface.
2. Understand its power: Gemini 3 achieved record benchmark scores for performance, reasoning, and factuality.
3. Explore the new coding app: A new application called Antigravity was launched to help programmers build entire projects, not just code snippets.

What is Google Gemini 3?

Google has released Gemini 3, its newest and most advanced foundation model. This update represents a significant step forward in AI capability and is built to handle more complex tasks with greater accuracy.

Unlike previous versions, Gemini 3 is designed for immediate, broad use. It is available to the public directly through the existing Gemini app and is also integrated into Google's AI search experience. This means you can start testing its features right away.

New record benchmark scores explained

AI models are tested against standardized benchmarks to measure their performance. Gemini 3 has achieved record scores on several key tests, demonstrating its advanced abilities in reasoning, problem-solving, and factual accuracy.

Understanding these scores helps you know where the model excels. While many tests were performed, the original article from TechCrunch AI highlights a few key achievements.

Gemini 3's measured performance

These scores give you a concrete look at the model's capabilities:

• LMArena: This benchmark tests the general performance and preference of an AI model. Gemini 3 Pro scored 1,501, a result noted as being higher than its predecessor, Gemini 2.5 Pro.
• Humanity's Last Exam: This difficult benchmark measures reasoning ability at an advanced academic level. Gemini 3 achieved "top scores," showing what Google calls "PhD-level reasoning."
• Factuality Score: To measure its accuracy, Gemini 3 Pro was given a factuality score of 37.4. Google describes it as its "most factual model" to date.

Meet Antigravity the new coding app

Alongside the new model, Google launched a specialized coding application named Antigravity. This tool is built for programmers and developers who want to move faster on complex projects.

Antigravity is not just another code generator. It's designed to be a partner in the development process from start to finish, leveraging the advanced capabilities of the Google Gemini 3 model.

How Antigravity helps developers

Antigravity changes how programmers can approach a new project. It uses what is known as agentic coding abilities. This means it can take a complex prompt and figure out the steps needed to complete it on its own.

You can give Antigravity a creative brief combined with technical specifications. It will then generate a detailed execution plan and produce a runnable project scaffold. This provides a functional starting point, saving developers significant time on setup and foundational coding.

Beyond simple code generation

The app integrates Gemini 3's multimodal understanding. It can process information from text, images, and code examples simultaneously. This allows it to synthesize all your inputs into a coherent and functional project structure.

For businesses looking to innovate quickly, this tool can help your development team build and test ideas faster than ever. It bridges the gap between a high-level concept and a tangible, working prototype.

3 ways to use Google Gemini 3 in your business

You don't need to be a developer to benefit from Google Gemini 3. Its enhanced reasoning and factual accuracy make it a powerful tool for marketing, sales, and operations. Here are three tactical ways to start using it now.

1. Create your content strategy

Use Gemini 3 to build a comprehensive content plan. Because of its improved accuracy, you can trust it for deeper research and analysis tasks. This is a core part of building a high-performance SEO content program that ranks.

Actionable Steps:

• Competitor Analysis: Ask Gemini to analyze the blog topics and content structure of your top three competitors. Prompt it to identify content gaps you can fill.
• Topic Clustering: Provide a core service or product you offer. Ask Gemini to generate a topic cluster model with a central pillar page and several related sub-topics.
• Outline Generation: Once you have a topic, ask Gemini to create a detailed blog post outline. Specify that it should include an H2 for each main point and three bullet points under each one.

2. Streamline marketing and social media

Drafting copy for different platforms is time-consuming. Google Gemini 3 can help you generate variations of a core message tailored to the specific format of email, social media, or ads. This helps you maintain a consistent brand voice across all channels.

Effective social media management requires a steady flow of high-quality content. Use Gemini to do the heavy lifting on initial drafts.

Actionable Steps:

• Ad Copy Variations: Give Gemini a product description and your target audience. Ask it to write 3 different Facebook ad headlines and 3 different primary text options.
• Email Nurture Sequences: Describe a customer journey, from signing up for a newsletter to making a purchase. Ask Gemini to write a 3-part email nurture sequence for that journey.
• Repurpose Content: Paste the text from a recent blog post into Gemini. Ask it to create 5 tweets, 1 LinkedIn post, and 1 Instagram caption based on the article.

3. Brainstorm website improvements

Your website is your most important digital asset. Use Gemini to generate ideas for improving its design, copy, and overall user experience. An effective AI partner can help you see your site from a fresh perspective.

These ideas can become the foundation for A/B tests and optimizations that lead to better conversion rates. A great website is built to convert by constantly testing and refining.

Actionable Steps:

• Headline Testing: Provide your current homepage headline. Ask Gemini to write 5 alternative headlines that are more action-focused or benefit-driven.
• FAQ Generation: Give Gemini a link to your services page. Ask it to generate a list of 10 potential questions a visitor might have.
• Call-to-Action Ideas: Describe a page on your site. Ask Gemini to suggest 3 different calls-to-action (CTAs) you could place at the bottom of the page.

Prepare your team for advanced AI

Integrating a powerful tool like Google Gemini 3 requires a plan. Simply giving your team access is not enough. You need guidelines and training to ensure you get the most value while maintaining quality and accuracy.

Establish clear AI usage guidelines

Create a simple document that outlines how your team should use AI tools. This ensures consistency and prevents common mistakes. Your guidelines should be practical and easy to follow.

Your policy should include rules for:

• Fact-checking: All stats, claims, and facts generated by AI must be verified with primary sources.
• Editing: All AI-generated text must be edited by a human for brand voice, tone, and clarity.
• Attribution: Define when and if AI usage needs to be disclosed internally or externally.

Focus on better prompt writing

The quality of your output depends entirely on the quality of your input. Train your team to write clear, specific, and context-rich prompts. This is the single most important skill for using AI effectively.

A good prompt includes role, task, format, and constraints. For example, instead of "write a blog post about Gemini 3," a better prompt is: "Act as a digital marketing expert. Write a 500-word blog post for a business audience about the launch of Google Gemini 3, formatted with H2s and bullet points."

Always verify and edit AI output

Even with a high factuality score of 37.4, Google Gemini 3 is not perfect. It is a tool to assist, not replace, human expertise. The final 10% of any task—the review, editing, and verification—is the most critical.

This human oversight ensures the content is accurate, aligns with your brand, and truly meets the needs of your audience. Treat the AI's output as a first draft, not a final product.