#gemini-25

#gemini-25

At the ICPC, only correct solutions earn points, and the time it takes to come up with the solution affects the final score. Gemini reached the upper rankings quickly, completing eight problems correctly in just 45 minutes. After 677 minutes, Gemini 2.5 Deep Think had 10 correct answers, securing a second-place finish among the university teams. You can take a look at all of Gemini's solutions on GitHub, but Google points to Problem C as especially impressive.

Free users of Gemini 2.5 Pro get a maximum of five prompts per day, can generate up to five Deep Research reports, and have 100 images created daily. In Google AI Pro, the number of prompts increases to 100 per day, supplemented by 1,000 images and 20 Deep Research reports per day. Ultra takes this to five hundred prompts, one thousand images, and two hundred reports per day.

Google first provided editing capabilities in Gemini earlier this year, and the model was more than competent out of the gate. But like all generative systems, the non-deterministic nature meant that elements of the image would often change in unpredictable ways. Google says nano banana (technically Gemini 2.5 Flash Image) has unrivaled consistency across edits-it can actually remember the details instead of rolling the dice every time you make a change.