Google has launched the Gemini 2.5 Pro Preview (I/O edition), an upgraded version of its popular AI model, which it claims surpasses many widely used benchmarks. The release comes just ahead of Google’s annual I/O developer conference, where the company is set to showcase numerous models, tools, and platforms. The Gemini 2.5 Pro Preview is available through the Gemini API and on Google’s Vertex AI and AI Studio platforms, with a pricing structure that mirrors the original Gemini 2.5 Pro model it replaces. Additionally, it’s now integrated into Google’s Gemini chatbot app for both web and mobile devices.
This new version of Gemini brings significant improvements, especially in coding and building interactive web applications. Google highlights its enhanced capabilities in tasks like code transformation and editing. The model’s advancements have led it to top the WebDev Arena Leaderboard, which measures a model’s ability to create functional and aesthetically pleasing web apps. Gemini 2.5 Pro Preview (I/O edition) has also made strides in video understanding, securing a notable score of 84.8% on the VideoMME benchmark, further proving its versatility.
Developers using the previous Gemini 2.5 Pro version can expect to see improvements in key areas such as function calling performance and error reduction. The updated model is designed to improve the developer experience by addressing feedback, making it more reliable and efficient for tasks like coding and app development. Additionally, Google has made sure that Gemini 2.5 Pro Preview continues to produce high-quality web designs while retaining a level of steerability that allows users to fine-tune its outputs.
With fierce competition from rivals like OpenAI and xAI, Google’s Gemini 2.5 Pro Preview positions the company to maintain its lead in the AI market by offering an advanced model that not only meets but exceeds performance expectations. As Google moves ahead in the AI race, it’s clear that the company is committed to providing tools that empower developers and improve AI capabilities across various sectors, from coding to video analysis.
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