Google's Gemini 3.5 Pro is delayed by months because its coding performance fell short of internal benchmarks, forcing a complete rebuild of the model's foundation, while rivals OpenAI and Anthropic have already shipp... The model has missed at least three self imposed deadlines since its May 19, 2026 announcement a...

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Google's Gemini 3.5 Pro was supposed to be the company's flagship AI model for 2026, announced with fanfare at Google I/O in May. Instead, it has become a symbol of execution trouble inside Google DeepMind. The model is now months behind schedule, its original base model has been scrapped, and it has missed at least three public deadlines—all because its coding performance wasn't good enough to ship.
According to a July 16 Bloomberg report that cited 10 current and former employees, internal testing showed Gemini 3.5 Pro's coding capabilities did not meet the quality bar Google had set . In late June 2026, Google updated the model's training data specifically to improve coding results, but those efforts "fell short of expectations"
. Engineers, AI researchers, and managers have grown frustrated, worried that Google is ceding its competitive edge in the most important application category in AI right now
.
The delay wasn't a single slip—it was a cascade of broken promises:
The model has now missed at least three self-imposed deadlines: the June I/O window, the June 30 specific date, and the July 17 target .
Internal dysfunction contributed alongside the technical failures. Bloomberg and subsequent coverage describe bureaucracy inside Google, with "multiple layers of stakeholders and overlapping AI coding initiatives" slowing decision-making . The decision to rebuild from scratch—rather than ship an imperfect version—reflects a crisis of internal confidence about what the DeepMind team could deliver on the original timeline
.
Interestingly, the U.S. government was not a factor. A June 2 executive order from the Trump administration set up a voluntary pre-release review framework for frontier AI models . OpenAI's GPT-5.6 and Anthropic's Claude Fable 5 were both held up by this review process. Gemini 3.5 Pro was never subjected to government restrictions—it was delayed purely by its own performance issues. This created an ironic situation where Google was the only major frontier lab free to ship without government interference, but couldn't ship because the model wasn't ready
.
Internal sources directly express concern that while Google struggles with coding benchmarks, OpenAI's GPT-5.6 and Anthropic's Claude Fable 5 have already reached users with strong performance . The full architectural rebuild was motivated in part by this pressure, as frontier AI competition shifted from incremental upgrades to major architectural leaps
.
Adding to the pain, two of Google's most celebrated researchers departed for OpenAI and Anthropic during this period . A separate report noted that five top Google AI researchers left in a single week in late June
.
Alphabet shares fell sharply on July 16, 2026, following the Bloomberg report:
Note: The share price decline was amplified by new EU regulatory actions announced the same day, so the Gemini delay was not the sole factor .
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Google's Gemini 3.5 Pro is delayed by months because its coding performance fell short of internal benchmarks, forcing a complete rebuild of the model's foundation, while rivals OpenAI and Anthropic have already shipp...
Google's Gemini 3.5 Pro is delayed by months because its coding performance fell short of internal benchmarks, forcing a complete rebuild of the model's foundation, while rivals OpenAI and Anthropic have already shipp... The model has missed at least three self imposed deadlines since its May 19, 2026 announcement at Google I/O: the June window, a June 30 specific date, and a July 17 target.
Alphabet shares fell 4.4% on July 16, 2026 after a Bloomberg report revealed the extent of the delays, erasing roughly $200 billion in market capitalization amid broader concerns about Google's AI competitiveness.