Google Gemini 3.5 Pro Release Delayed Amid AI Competition

Google Delays Gemini 3.5 Pro Amid Rising AI Competition

Google

Google Gemini 3.5 Pro faces a delayed launch as Alphabet works to improve coding performance while competition from OpenAI and Anthropic intensifies.

Google has delayed the launch of Google Gemini 3.5 Pro beyond its planned June release
Engineers reportedly remain concerned about the model's coding performance
OpenAI and Anthropic continue releasing more competitive AI models
Alphabet updated Gemini's training data, but results reportedly missed internal targets
Alphabet shares slipped nearly 3% following reports of the delay

Google Gemini 3.5 Pro is said to be delayed by Alphabet as engineers are still trying to enhance the performance of their AI model in coding and reasoning. This is an important time for the company as the delay of Google Gemini 3.5 Pro indicates heightened competition in the rapidly advancing artificial intelligence industry.

As stated by the CEO of Google, Sundar Pichai, during his speech at Google I/O in June, the AI model was said to be delayed because of failure to reach expectations set regarding its training data. According to reports, several engineers and AI researchers have expressed concerns that Google's Gemini AI model performance currently trails competing offerings from OpenAI and Anthropic in key enterprise capabilities, particularly software development and coding tasks.

This delay is due to the heightened level of competition among technology firms as they try to create advanced and efficient generative AI technologies. Overall, there is increased competition in the area of AI from Google OpenAI and Anthropic. These organizations have been trying to develop better products through innovation.

Google admitted that it is still working on testing the Gemini 3.5 Pro along with the updated Flash models through select partners, while at the same time being in touch with the US government on matters of AI. The company stated that it continues to offer cost-effective AI solutions in various products.

The announcement also impacted investor attitudes; Google’s stock price declined by almost three percent upon receipt of the bad news. Other companies are not lagging in building their artificial intelligence products either. OpenAI launched GPT-5.6 once the delay due to national security concerns was addressed, and Anthropic allowed its new models to go public once the necessary measures were put in place according to U.S. export controls regulations.

Analysts in the field consider the delay an illustration of how difficult the development process is from a technical standpoint, even though the industry is making significant strides. Companies need to find a balance between model quality, safety, regulation, and readiness in order to launch their next-gen products to market. Business Honor observes that sustained leadership in artificial intelligence will depend not only on rapid innovation but also on delivering reliable, secure and enterprise-ready models that consistently meet customer expectations.