Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Gheorghe Comanici, Eric Bieber, Mike Schaekermann, Ice Pasupat, Noveen Sachdeva, Inderjit Dhillon, Marcel Blistein, Ori Ram, Dan Zhang, Evan Rosen, Luke Marris, Sam Petulla, Colin Gaffney, Asaf Aharoni, Nathan Lintz, Tiago Cardal Pais, Henrik Jacobsson, Idan Szpektor, Nan-Jiang Jiang, Krishna Haridasan, Ahmed Omran, Nikunj Saunshi
2025-07-14
Summary
This paper talks about Gemini 2.5, a family of advanced AI models designed to be really good at understanding and reasoning with text, images, audio, and video all together while handling long conversations and complicated tasks.
What's the problem?
Many AI models struggle with complex reasoning and keeping track of lots of information over long conversations or multiple types of data, limiting how well they can help with real-world problems.
What's the solution?
The researchers improved Gemini models by making them better at reasoning through problems step-by-step, handling mixed types of input like images and text, and remembering more context during long interactions. They also developed more efficient versions to work well with different computing resources.
Why it matters?
This matters because Gemini 2.5 makes AI smarter and more versatile, helping in areas like coding, research, and content creation by understanding complex information better and working faster and more accurately.
Abstract
Gemini 2.X model family, including Gemini 2.5 Pro and Flash, offers superior coding, reasoning, and multimodal understanding capabilities across a range of computational efficiencies.