Google has introduced version 2.5 of its Gemini AI model, which the company said offers a new level of performance by combining an enhanced base model with improved post-training.
The Gemini 2.5 models are thinking models, capable of reasoning through their thoughts before responding, thus resulting in better performance and improved accuracy, said Koray Kavukcuoglu, CTO of Google DeepMind, in a March 25 blog post. The first Gemini 2.5 release is an experimental version of Gemini 2.5 Pro, which Kavukcuoglu said is state-of-the-art across a range of benchmarks that require advanced reasoning. Available now, Gemini 2.5 Pro Experimental demonstrates strong reasoning and code capabilities, leading on common coding, math, and science benchmarks, he said.
Gemini 2.5 Pro is available now in Google AI Studio and the Gemini app for Gemini Advanced users and will be coming to Vertex AI soon. Gemini 2.5 now ships with a one-million token context window, with a two-million context window due soon. Moving forward, plans call for building Gemini 2.5 thinking capabilities directly into all of Google’s models, enabling the handling of more complex problems and supporting more capable, context-aware agents.