At Google I/O 2026, Google teased Gemini 3.5 Pro as a coming upgrade, but the model remains unreleased as of mid-July. The delay comes as competitors launch advanced AI models, intensifying pressure on Google to maintain its lead in AI innovation.
- Gemini 3.5 Pro launch delayed beyond promised June timeline
- Competition from OpenAI, Anthropic, and others accelerates
- Google tests Pro model amid internal market concerns
What happened
Google initially announced Gemini 3.5 Pro at its May 2026 developer conference, promising a release soon after the launch of the lighter Gemini 3.5 Flash model. However, as of mid-July, the Pro variant remains unavailable despite earlier assurances by CEO Sundar Pichai that it was undergoing internal testing and would roll out in June.
This delay was confirmed by Bloomberg reporting frustration among Google engineers and AI researchers, who worry that the postponement risks losing ground to competitors that have recently launched more advanced models. Google maintains it is continuing testing with partners and engaging with regulatory stakeholders to ensure a safe and cost-effective release.
Why it matters
The AI sector is evolving rapidly, with competitors like Anthropic and OpenAI releasing powerful models boasting advanced cybersecurity features. Meta has also introduced AI technology that surpasses Google's current offerings, intensifying pressure on Google to innovate promptly or risk falling behind.
Given Google's unmatched data access and integration across billions of devices worldwide, the gemini model's delay hampers the company’s ability to capitalize fully on these advantages. The postponement reflects challenges inherent in coordinating large-scale product ecosystems and meeting heightened market expectations.
What to watch next
Observers should monitor when Google finally launches Gemini 3.5 Pro and how its capabilities compare to rivals’ AI models like GPT-5.6 Sol and Claude Mythos. The model's performance and cybersecurity robustness will be key to reclaiming competitive standing in the AI arms race.
Additionally, attention is warranted on how Google manages ongoing developments with regulatory agencies and partner testing frameworks. These processes will shape the timeline and manner of Gemini’s wider rollout and may influence future AI product launches within the company.