Google Delays Gemini 3.5 Pro to July 17 for a Maths Overhaul
Google DeepMind has ditched the original base model of its Gemini 3.5 Pro AI, opting for a revised approach to improve performance. This change has pushed back the release from June 2026 to July 17.
The Gemini series is a line of AI models developed by Google, with the 3.5 Pro model aiming to provide more accurate and efficient results for various tasks. Google’s decision to delay the release suggests that the company is prioritizing performance over an initial deadline.
The delay comes after Google DeepMind rethought its pre-training strategy, which is a crucial step in fine-tuning AI models. By adjusting the pre-training process, the company hopes to improve the Gemini 3.5 Pro’s maths capabilities, a move that could significantly enhance its performance on complex calculations.
What’s Changing
Google DeepMind initially planned to use the 2.5 Pro base model as the foundation for the Gemini 3.5 Pro. However, the company has scrapped this approach in favor of a revised pre-training strategy. This change will involve additional training on a more advanced math dataset, which should provide more accurate results.
While this delay might be frustrating for businesses and developers relying on the Gemini series, it’s a smart move by Google. By taking the time to refine the Gemini 3.5 Pro’s maths capabilities, the company is likely to produce a more reliable and powerful AI model in the long run.
Impact on Developers
Developers who have been waiting for the Gemini 3.5 Pro release will need to adjust their plans accordingly. The delay will give them more time to explore alternative AI models or upgrade their current systems to take advantage of the Gemini series’ capabilities.
The Gemini 3.5 Pro’s revised release date of July 17 will provide a chance for developers to reassess their AI strategies and make the most of the new model’s enhanced maths capabilities.
What This Means
Google’s decision to delay the Gemini 3.5 Pro release and revise its pre-training strategy is a testament to the company’s commitment to producing high-quality AI models. While this might cause some inconvenience for developers, it will ultimately lead to a more robust and efficient AI model that can tackle complex maths tasks with greater accuracy.
