Latest Google Gemini Model Allegedly Delayed Significantly

Google is aiming to position itself at the forefront of the AI competition among industry leaders, yet its upcoming Gemini model is said to be facing difficulties in finalizing development. Reports indicate that Gemini 3.5 Pro is several months behind schedule as Google works to enhance it to meet its internal benchmarks.

As reported by sources familiar with the situation, including several current and former Google employees, the delays have led to frustration among engineers, researchers, and management. Concerns have been raised that competitors like Anthropic and OpenAI are beginning to pull away.

Initially, there was widespread anticipation that Gemini 3.5 Pro would be revealed at Google’s developer conference in May. One of the major hurdles appears to be the model’s coding performance. Google updated the model’s training data last month in a bid to enhance these capabilities, but the outcomes did not meet expectations.

Reports indicate that Google’s extensive structure may be a disadvantage, as various teams from Google Cloud, DeepMind, Android, and other divisions are all working on AI coding tools. The involvement of multiple stakeholders in the model development process has also complicated efforts. Additionally, employees are reportedly competing for access to computing resources when utilizing AI tools internally.

In response to the notion that progress is lagging, a Google spokesperson asserted that the company is “shipping quickly across a wide range of models” while maintaining cost efficiency. The spokesperson also confirmed ongoing tests of Gemini 3.5 Pro and other models in collaboration with partners, as well as ongoing discussions with the US government regarding model testing and safety standards.