Google Delays Gemini 3.5 Pro Release After Performance Shortfalls
Google has delayed the broader release of Gemini 3.5 Pro by several months after internal testing found the model fell short of expectations in coding and complex reasoning. Alphabet shares fell more than 4 percent on the news. The model remains in limited enterprise preview.

Google has delayed the broader release of Gemini 3.5 Pro, its flagship frontier AI model, by several months after internal testing revealed the system fell short of the company's expectations in coding performance and complex, long-horizon reasoning tasks.
The model was previewed at Google I/O earlier in 2026 and had been expected to launch around June. It remains in limited enterprise preview as engineers work to improve its capabilities.
Alphabet shares fell more than 4 percent after reports of the delay surfaced, reflecting growing investor concern about Google's position in the frontier-model race. Bloomberg reported the delay on July 17, 2026.
The delay comes as competitors release models at a faster pace. China's Moonshot AI released Kimi K3 the same week, a model that topped coding benchmarks and outperformed Anthropic's Claude Fable 5 and OpenAI's GPT-5.6 Sol on specific tests.
Google still controls a formidable AI stack spanning custom Tensor Processing Units, Google Cloud, DeepMind, Android, Search, YouTube, Workspace, and billions of consumer accounts. However, that scale creates its own challenge: Google must improve its models while ensuring they work reliably across the products people and businesses use every day.
The company is also expanding AI Mode in Search by allowing U.S. users to connect third-party apps including Instacart, Canva, and YouTube Music. The integrations let users ask Google's AI to retrieve information or initiate actions without leaving the search experience.
Analysts said the Gemini delay does not necessarily mean Google has lost its technical position, but it does show that even vast computing resources cannot guarantee predictable progress at the frontier of AI development.

