Google challenges ChatGPT: the release date of 'Gemini 3.0' has been leaked

A new leak has set off alarms in the world of artificial intelligence. Google is reportedly ready to announce Gemini 3.0 on October 22. The information, shared by 9to5Google, emerged from an alleged image of the company's internal calendar that went viral on social media.

This update would mark Google's most ambitious step in its race to catch up with and surpass ChatGPT from OpenAI, following the success of its previous model, Gemini 2.5 Compute Use.

Google Gemini es una herramienta poderosa, pero no está diseñada para manejar ciertos tipos de datos

A leak that sets off alarms in the sector

According to the published information, October 22 would be the date of the official announcement of Gemini 3.0, although it would not necessarily coincide with its public release. The leaked internal schedule would include several stages of testing, bug fixing, and preliminary evaluations before its final rollout.

This update would mark Google's most ambitious step in its race to catch up with and surpass ChatGPT from OpenAI, following the success of its previous model, Gemini 2.5 Compute Use.

A leak that sets off alarms in the sector

The leaked document shows a roadmap with the main milestones in the model's development, including the official presentation. However, several analysts recommend caution, since the image appeared "out of nowhere," without a verifiable digital origin.

What is known so far about Gemini 3.0

Although Google has not made any official announcement, Gemini 3.0 is expected to include significant improvements in reasoning, speed, and multimodal capabilities. The company aims to position itself against the recent launch of GPT-5 by OpenAI, presented in August, with a more efficient and adaptable model.

El 22 de octubre sería la fecha del anuncio oficial de Gemini 3.0

If the rumors are confirmed, the new model would arrive seven months after the launch of Gemini 2.5 Pro, considered the most advanced to date. That model stood out for its ability to perform complex post-training reasoning tasks and work with multiple types of data.