Google is worth more than $4 trillion, employs many of the most decorated AI researchers alive, and invented the transformer architecture that powers the entire modern AI boom. And in mid-July 2026, its flagship AI model is missing. Gemini 3.5 Pro, promised for June, has now, according to reports, missed its third internal deadline, over a problem Google cannot seem to fix: coding.&nbsp;What Google Promised&nbsp;At its I/O developer conference in mid-May, Google announced the Gemini 3.5 family, shipped the Flash version, and said the flagship Pro model would arrive in June. June came and went without the model and without an explanation. It is now the second half of July, and Gemini 3.5 Pro remains locked in a limited enterprise preview available to a small group of approved customers.&nbsp;Three Deadlines, One Ground-Up Rebuild&nbsp;The first delay, from June into July, was attributed to quality refinement after early enterprise testing, reports cited token efficiency, coding performance and multi-step reasoning as the areas falling short.&nbsp;Then came the harder news. Bloomberg reported that Google was taking extra time to improve the model's capabilities, particularly in coding and that a late-June attempt to fix the problem by retraining on updated data produced disappointing results.&nbsp;The third deadline reportedly fell to something deeper: structural failures. Google is said to have concluded that the original model's problems with recursive tool-calling, the ability to chain software actions reliably, the core of ‘agentic’ AI, could not be fixed by fine-tuning alone, and ordered a ground-up rebuild. While the rebuilt Pro is prepared, the company is eyeing a stopgap release: an upgraded version of the smaller Flash model.&nbsp;Google's official line, in a statement: it is ‘currently testing 3.5 Pro, an upgraded Flash model, and other models with partners.’ The testing pool reportedly includes corporate partners and the US government, alongside testers on Google's Antigravity platform and the LMArena benchmarking site.&nbsp;Why Coding Is The Battlefield&nbsp;Coding is not one benchmark among many in 2026, it is the benchmark. Programming assistance is where AI models generate the most revenue, face the most scrutiny from professional users, and get compared head-to-head on public leaderboards every day.

Promised for June, Google's flagship Gemini 3.5 Pro has reportedly missed three deadlines and needed a ground-up rebuild over agentic coding failures. It remains in limited enterprise preview while a stopgap Flash upgrade is prepared — and rivals keep shipping.

Google is worth more than $4 trillion, employs many of the most decorated AI researchers alive, and invented the transformer architecture that powers the entire modern AI boom. And in mid-July 2026, its flagship AI model is missing. Gemini 3.5 Pro, promised for June, has now, according to reports, missed its third internal deadline, over a problem Google cannot seem to fix: coding. What Google Promised At its I/O developer conference in mid-May, Google announced the Gemini 3.5 family, shipped the Flash version, and said the flagship Pro model would arrive in June. June came and went without the model and without an explanation. It is now the second half of July, and Gemini 3.5 Pro remains locked in a limited enterprise preview available to a small group of approved customers. Three Deadlines, One Ground-Up Rebuild The first delay, from June into July, was attributed to quality refinement after early enterprise testing, reports cited token efficiency, coding performance and multi-step reasoning as the areas falling short. Then came the harder news. Bloomberg reported that Google was taking extra time to improve the model's capabilities, particularly in coding and that a late-June attempt to fix the problem by retraining on updated data produced disappointing results. The third deadline reportedly fell to something deeper: structural failures. Google is said to have concluded that the original model's problems with recursive tool-calling, the ability to chain software actions reliably, the core of ‘agentic’ AI, could not be fixed by fine-tuning alone, and ordered a ground-up rebuild. While the rebuilt Pro is prepared, the company is eyeing a stopgap release: an upgraded version of the smaller Flash model. Google's official line, in a statement: it is ‘currently testing 3.5 Pro, an upgraded Flash model, and other models with partners.’ The testing pool reportedly includes corporate partners and the US government, alongside testers on Google's Antigravity platform and the LMArena benchmarking site. Why Coding Is The Battlefield Coding is not one benchmark among many in 2026, it is the benchmark. Programming assistance is where AI models generate the most revenue, face the most scrutiny from professional users, and get compared head-to-head on public leaderboards every day.

Promised for June at Google I/O, Gemini 3.5 Pro has reportedly missed three internal deadlines, needed a ground-up rebuild over structural failures in agentic coding, and remains locked in a limited enterprise preview — while China's Kimi K3 tops coding leaderboards and rivals keep shipping. Inside the most expensive silence in AI.

Google's $4 trillion embarrassment: Gemini 3.5 Pro misses third deadline over coding failures

Google's race to stay at the front of artificial intelligence has reportedly hit another obstacle. According to a Bloomberg report, the company has delayed the release of Gemini 3.5 Pro, its next flagship AI model, after it failed to meet internal performance targets. The biggest concern was said to be coding an area where rivals OpenAI and Anthropic have recently gained significant momentum. The model was expected to launch in June, shortly after CEO Sundar Pichai introduced it during Google I/O 2026, saying it was already being used internally. Months later, however, Gemini 3.5 Pro is still undergoing testing.The report unsettled investors. Shares of Google's parent company, Alphabet, fell nearly 3 per cent during trading and were down about 4 per cent at one stage.<h2>Coding has become the new AI battleground</h2>The delay highlights how important coding has become in the AI industry. Large language models are no longer judged only by how well they answer questions or generate text. Increasingly, companies want AI systems that can write, review, debug and improve software with minimal human input. According to Bloomberg, Google retrained Gemini with updated data last month to improve its coding ability, but engineers were reportedly disappointed with the results. Meanwhile, OpenAI's GPT-5.6 and Anthropic's Claude Fable 5 have raised expectations across the industry, particularly for enterprise software development.<h2>Internal challenges may also be slowing Google</h2>The report suggests Google's size has become one of its biggest challenges. Unlike AI startups that focus on a single product, Google must coordinate across Search, DeepMind, Cloud, Android, YouTube and other divisions before launching major AI models. One former employee reportedly described the process as trying to "boil an ocean," pointing to overlapping teams, changing priorities and internal competition for computing resources. Google has also tightened oversight around AI development as advanced models face growing scrutiny from governments over safety, national security and misuse.<h2>Google says testing is still underway</h2>Google has not confirmed a launch date for Gemini 3.5 Pro. A company spokesperson told Bloomberg that Google is "shipping quickly across a wide range of models while keeping them highly cost-effective" and confirmed that Gemini 3.5 Pro, an upgraded Flash model and other AI systems are currently being tested with partners. The spokesperson also said Google remains engaged with the US government as oversight of frontier AI models increases.<h2>Is Google really falling behind?</h2>Despite the reported delay, industry observers say Google remains one of the strongest AI players. Its biggest advantage is deep integration across products used by billions of people, including Search, Gmail, Maps, Android, Chrome and Workspace. Gemini also benefits from Google's search index, giving it access to one of the world's largest information ecosystems.Google recently revealed that around 75 per cent of its internal code is now generated with AI assistance before being reviewed by engineers. The company has also consolidated several coding initiatives under its Antigravity platform to accelerate software development. However, with OpenAI and Anthropic releasing increasingly capable models, expectations for Gemini 3.5 Pro have only grown. The reported delay suggests Google is choosing to refine the model rather than launch a product that falls short of its own standards a decision that could prove important as the AI race enters an even more competitive phase.

Google has reportedly delayed the launch of Gemini 3.5 Pro after the AI model failed to meet internal expectations, particularly in coding.

Google's race to stay at the front of artificial intelligence has reportedly hit another obstacle. According to a Bloomberg report, the company has delayed the release of Gemini 3.5 Pro, its next flagship AI model, after it failed to meet internal performance targets. The biggest concern was said to be coding an area where rivals OpenAI and Anthropic have recently gained significant momentum. The model was expected to launch in June, shortly after CEO Sundar Pichai introduced it during Google I/O 2026, saying it was already being used internally. Months later, however, Gemini 3.5 Pro is still undergoing testing. The report unsettled investors. Shares of Google's parent company, Alphabet, fell nearly 3 per cent during trading and were down about 4 per cent at one stage. Coding has become the new AI battleground The delay highlights how important coding has become in the AI industry. Large language models are no longer judged only by how well they answer questions or generate text. Increasingly, companies want AI systems that can write, review, debug and improve software with minimal human input. According to Bloomberg, Google retrained Gemini with updated data last month to improve its coding ability, but engineers were reportedly disappointed with the results. Meanwhile, OpenAI's GPT-5.6 and Anthropic's Claude Fable 5 have raised expectations across the industry, particularly for enterprise software development. Internal challenges may also be slowing Google The report suggests Google's size has become one of its biggest challenges. Unlike AI startups that focus on a single product, Google must coordinate across Search, DeepMind, Cloud, Android, YouTube and other divisions before launching major AI models. One former employee reportedly described the process as trying to "boil an ocean," pointing to overlapping teams, changing priorities and internal competition for computing resources. Google has also tightened oversight around AI development as advanced models face growing scrutiny from governments over safety, national security and misuse. Google says testing is still underway Google has not confirmed a launch date for Gemini 3.5 Pro. A company spokesperson told Bloomberg that Google is "shipping quickly across a wide range of models while keeping them highly cost-effective" and confirmed that Gemini 3.5 Pro, an upgraded Flash model and other AI systems are currently being tested with partners. The spokesperson also said Google remains engaged with the US government as oversight of frontier AI models increases. Is Google really falling behind? Despite the reported delay, industry observers say Google remains one of the strongest AI players. Its biggest advantage is deep integration across products used by billions of people, including Search, Gmail, Maps, Android, Chrome and Workspace. Gemini also benefits from Google's search index, giving it access to one of the world's largest information ecosystems. Google recently revealed that around 75 per cent of its internal code is now generated with AI assistance before being reviewed by engineers. The company has also consolidated several coding initiatives under its Antigravity platform to accelerate software development. However, with OpenAI and Anthropic releasing increasingly capable models, expectations for Gemini 3.5 Pro have only grown. The reported delay suggests Google is choosing to refine the model rather than launch a product that falls short of its own standards a decision that could prove important as the AI race enters an even more competitive phase.

Google has reportedly delayed the launch of Gemini 3.5 Pro after the AI model failed to meet internal expectations, particularly in coding. The setback comes as OpenAI and Anthropic continue releasing more advanced models, increasing pressure on Google in one of the industry's most competitive races.

Google delays Gemini 3.5 Pro after AI model misses coding targets, report says

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Google's $4 trillion embarrassment: Gemini 3.5 Pro misses third deadline over coding failures

Google delays Gemini 3.5 Pro after AI model misses coding targets, report says