Google's next flagship AI model is months late because it's falling short of Google's own bar

[Pixel Jay]

Google is running months behind schedule on delivering Gemini 3.5 Pro, its most powerful flagship model, according to Bloomberg, which cited 10 current and former employees describing the delay as a genuine source of frustration inside the company. The model was unveiled at Google I/O back in May with a targeted June general availability window, a deadline that has now come and gone with no public launch

The core issue, according to people familiar with the matter, is that the underlying technology isn't yet hitting Google's own internal bar, particularly on coding performance, prompting the company to take extra time trying to improve it rather than ship something that falls short. Other reporting on the delay points to token efficiency issues flagged by early testers and weaker than hoped long task, multi step reasoning, exactly the capabilities that power the AI coding agents currently driving a lot of enterprise demand, alongside a decision to scrap the existing Gemini 2.5 Pro base architecture entirely in favor of a full ground up rebuild on a native Gemini 3 foundation

Many Google engineers, researchers and managers are worried the company risks losing its edge as rivals Anthropic and OpenAI ship models that now exceed Gemini's capabilities in the meantime. Compounding the pressure, Google has reportedly lost several key researchers during this stretch, including a co-author of the influential T5 and Switch Transformer architectures, departures that raise real questions about the team's capacity to keep pace while simultaneously undertaking a full architectural rebuild

Google's own structural complexity isn't helping either, the company has to weave any new model across an unusually large product surface, search, maps, YouTube and more, with multiple layers of internal stakeholders needing to sign off before release, a coordination burden that smaller, more narrowly focused labs don't have to carry in the same way. The model is now reportedly targeted for a July 17 release, positioned as a cost effective alternative in the premium AI tier rather than an outright capability leader, though after this many delays the actual launch, and whether it can close the coding and reasoning gaps that triggered the rebuild in the first place, will say a lot about whether Google can still credibly compete at the very top of the frontier

Google Gemini Launch Delayed As Tech Falls Short Of Internal Goalswww.bloomberg.com

[HangmanPage_WCW]

Scrapping the entire base architecture and doing a full ground up rebuild instead of just patching the existing model is a genuinely bold, high risk call this late in the process, shows how serious the internal concern about falling behind actually is

[Voyager17]

Losing a co-author of T5 and the Switch Transformer during exactly this stretch is a rough coincidence of timing, that's real institutional knowledge walking out the door right when it's needed most