Google DeepMind has pushed the release of Gemini 3.5 Pro to July 17, scrapping the existing 2.5 Pro architecture in favor of a full rebuild rather than an incremental update. The model missed its original window entirely, Sundar Pichai had signaled a June launch at Google I/O on May 19, and reporting attributes the delay to enterprise-tester feedback flagging excessive token consumption during extended agentic tasks, the kind of multi-step, tool-using workflows that are increasingly how businesses actually deploy large models.
The rebuilt model is aimed squarely at closing the gap with OpenAI’s GPT-5.6 and Anthropic’s Claude Fable 5. Reported targets include a 2 million token context window, a dedicated Deep Think reasoning layer for complex, multi-step problems, and stronger autonomous workflow handling, on top of improvements to mathematical reasoning, image generation quality, and structured scene generation.
The delay landed alongside a rockier story for DeepMind’s talent bench. According to reporting from The Agent Report and Tech Insider, four senior researchers departed within a single week: Noam Shazeer, described as a Gemini co-lead, reportedly left for OpenAI, while Nobel laureate John Jumper and two other researchers, Jonas Adler and Alexander Pritzel, reportedly moved to Anthropic. Markets reacted sharply to the combined news of the delay and the departures, with roughly $225 billion wiped off Alphabet’s market capitalization in the aftermath, according to the same reporting. Google has not issued detailed public confirmation of every departure cited, so the exact scope of the exodus should be treated as still-developing.
Google is leaning into a value positioning alongside the rebuilt flagship, developing Nano Banana Pro for image generation and Gemini 4 Flash for speed-focused, lower-cost tasks, effectively mirroring the multi-tier strategy OpenAI just adopted with GPT-5.6’s Sol, Terra, and Luna split.
What makes the timing particularly awkward for Google is that its two biggest rivals are moving in the opposite direction at the exact same moment. Anthropic spent the same stretch of June restoring global access to Claude Fable 5 after a government-imposed restriction, and OpenAI used early July to ship its own new GPT-5.6 family, even if OpenAI’s rollout is also being throttled by government oversight demands. Three frontier labs hitting friction, whether self-inflicted, government-imposed, or talent-driven, inside the same few weeks suggests the industry’s pace of shipping frontier models may finally be running up against real engineering and organizational limits, not just competitive pressure to move fast.
Philippine businesses building on Gemini through Google Cloud or Vertex AI should treat this as a reminder that roadmap slippage at frontier labs is now routine, not exceptional, three of the major labs have all shipped later than promised or under government-imposed delay within the same month. Combined with the visible talent churn at DeepMind, it’s a reasonable moment for local teams to avoid building product roadmaps that assume a single vendor’s release date, and to keep at least a secondary model provider in the stack for continuity.
Google has not stayed quiet on other fronts while Gemini 3.5 Pro slips. The company continued shipping smaller updates through its regular AI product drumbeat across June, spanning everything from search-integrated AI features to developer tooling, even as the flagship model itself missed its promised window. That pattern, a steady stream of incremental releases papering over a delayed marquee product, is a familiar one across the AI industry right now, and it makes headline release dates a progressively less reliable signal of where any given lab actually stands competitively.
Share this article