Google's Gemini 3.5 Pro is months behind schedule due to coding performance issues
Google's next flagship AI model, Gemini 3.5 Pro, is reportedly months behind schedule, according to Bloomberg and ten current and former Google employees. The main sticking point is poor coding performance, despite a recent update to the model's training data. The delays have frustrated engineers and managers, with internal concern growing that Anthropic and OpenAI are pulling ahead in the AI race.
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Gemini 3.5 Pro is reportedly months behind schedule as Google works to improve the model.
Bloomberg says the delay has frustrated employees, with some worried Anthropic and OpenAI are pulling ahead.
Coding performance appears to be a major problem, despite Google recently updating the model’s training data.
Google will certainly feel that it belongs at the front of the AI race with the other big hitters , but its next big Gemini model is said to be struggling to get over the line. Gemini 3.5 Pro is reportedly months behind schedule as Google works to bring it up to its internal standards.
According to Bloomberg , the delay is based on information from people familiar with the matter, along with ten current and former Google employees. The setback has reportedly frustrated engineers, researchers, and managers inside the company, with some worried that Anthropic and OpenAI are beginning to pull further ahead.
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