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Google Releases Gemini 2.5 Pro Preview With Major Web Development Upgrades

A young developer with short brown hair sits at a wooden desk in a modern office, working on a large monitor. The screen displays a web app interface titled “Build rich, interactive web apps with an updated Gemini 2.5 Pro.” On the left side of the screen is a code editor containing Python code for a simple Tic Tac Toe game, while the right side shows a live preview of the game with a 3x3 grid filled with Xs and Os. The workspace features floor-to-ceiling windows, minimalist decor, and a small succulent plant, suggesting a focused and creative development environment.

Image Source: ChatGPT-4o

Google Releases Gemini 2.5 Pro Preview With Major Web Development Upgrades

Google has released an early preview of Gemini 2.5 Pro (I/O edition), an upgraded version of its advanced AI model, with new tools designed to help developers create rich, interactive web applications. Originally slated for announcement at Google I/O later this month, the update is now available ahead of schedule due to strong early demand.

The updated model offers notable improvements in coding capabilities, particularly for user interface (UI) development and web interactivity.

Enhanced Coding and Reasoning Features

Gemini 2.5 Pro Preview builds on the strong reception of the original 2.5 Pro, which was praised for its coding accuracy and multimodal reasoning. The new release extends those strengths beyond UI design to include:

  • Code transformation

  • Code editing

  • Complex, agentic workflows

These upgrades allow developers to move beyond basic scripts and into more sophisticated, real-world applications.

The updated model has also climbed to the top of the WebDev Arena Leaderboard, which ranks AI models by human preference for building visually appealing and functional websites. Gemini 2.5 Pro outperformed its previous version by 147 Elo points.

Strong Multimodal and Long-Context Capabilities

In addition to coding improvements, Gemini 2.5 Pro Preview continues to build on its foundation in native multimodality and long context. It also delivers state-of-the-art performance in video understanding, earning a score of 84.8% on the VideoMME benchmark, a key evaluation for how well AI models interpret video content.

Michael Truell, CEO of the AI coding platform Cursor, highlighted practical benefits seen during internal testing. “We're observing internally that the new model has a significant reduction in its failure to call tools, an improvement we believe our users will find makes 2.5 Pro even more effective than before in Cursor,” Truell said.

Available Now Across Google’s Developer Platforms

Developers can access Gemini 2.5 Pro Preview today through multiple platforms:

These tools allow users to generate interactive, web-ready applications from a single prompt—expanding the use of Gemini for both casual builders and professional developers.

What This Means

By accelerating the release of Gemini 2.5 Pro Preview, Google is betting on the increasing demand for accessible, AI-powered coding tools. This model supports more than just code generation—it enables developers to build full-featured, visually refined apps without writing every line manually. Its strong performance in multimodal understanding and long-context reasoning positions it as a flexible tool for both front-end development and deeper coding tasks.

For developers, this could reduce time spent on repetitive work and streamline the transition from idea to deployment. For Google, it strengthens Gemini’s role as a core platform in the competitive AI tooling space—especially as rivals push their own developer-focused models.

Gemini 2.5 Pro isn’t just accelerating web development—it’s redefining who can build, how fast they can move, and what’s possible with a single prompt.

Editor’s Note: This article was created by Alicia Shapiro, CMO of AiNews.com, with writing, image, and idea-generation support from ChatGPT, an AI assistant. However, the final perspective and editorial choices are solely Alicia Shapiro’s. Special thanks to ChatGPT for assistance with research and editorial support in crafting this article.