Google Gemini 3.5 Pro delayed by coding shortfalls

Key Takeaways

• Gemini 3.5 Pro missed its May developer conference target and June rollout promise
• Google is racing to match rival AI coding tools while managing internal competing factions
• The company is also coordinating with US government on advanced model testing frameworks

Google's most powerful AI model, Gemini 3.5 Pro, is running months behind schedule. Bloomberg reported Thursday that the company is still working to improve the model's coding capabilities, despite promising a June release after missing its expected May debut at Google's developer conference.

The delay matters for fintech teams evaluating AI tooling. Google had explicitly stated in a May 19 blog post that 3.5 Pro was "already being used internally" and would roll out "next month." That didn't happen. Bloomberg's sources point to three friction points: the company's multi-layered stakeholder process for model releases, a push to match competitors on code generation, and internal teams building competing AI coding tools.

Why coding performance became the bottleneck

Code generation has become the key battleground in enterprise AI. Developers increasingly rely on AI assistants for everything from autocomplete to full function generation. OpenAI's GPT-4 and Anthropic's Claude have set a high bar, and Google apparently decided 3.5 Pro wasn't competitive enough to ship.

A Google spokesperson told Bloomberg: "We're shipping quickly across a wide range of models while keeping them highly cost-effective for customers." The statement sidesteps the delay entirely. The company also confirmed it's "productively engaged with the U.S. government on model testing and broader frameworks," adding another variable to the release timeline.

Internal friction complicates the picture

Bloomberg's report highlights competing factions within Google, each building their own AI coding tools. This isn't new for Google. The company has historically allowed parallel projects to compete, but in AI, where speed matters, internal fragmentation slows everything down.

The multiple stakeholder layers for model release approvals add further drag. Every major AI lab faces safety review processes, but Google's organizational complexity appears to be extending timelines beyond what leadership publicly committed to.

What Google has shipped while 3.5 Pro waits

Google hasn't been idle. Gemini 3.5 Flash is live as the default model across the Gemini app and Search's AI Mode. The numbers are substantial: 900 million monthly users across 230 countries, with daily queries up sevenfold.

CEO Sundar Pichai framed the stakes at a May event: "Today we have 13 products with over a billion users each. Five of those have more than 3 billion users. Our Gemini models are a big reason more people are using our products, and why they're using our products more."

But Flash is the lighter model. Pro is supposed to be the flagship, the one enterprise customers and developers benchmark against GPT-4 and Claude. Every month of delay is a month competitors consolidate their position.

Government coordination adds a new variable

Google confirmed it's working with the US government on testing frameworks for advanced models. This coordination isn't unusual. Frontier AI labs have increasingly engaged with regulators ahead of major releases. But it introduces timing uncertainty that enterprise buyers should factor into their planning.

The company stated it's "currently testing 3.5 Pro, an upgraded Flash model, and other models with partners." No new timeline was provided.

What this means for enterprise AI strategy

The Gemini 3.5 Pro delay illustrates a broader truth about enterprise AI adoption: announced roadmaps aren't commitments. Google explicitly said "next month" and missed it. Teams planning around AI capabilities need buffer time and fallback options.

The coding capability gap is particularly relevant for developer productivity initiatives. If your team was waiting for Gemini 3.5 Pro to evaluate Google's offering against competitors, that evaluation is on hold. Meanwhile, competitors ship.

Frequently Asked Questions

When will Google Gemini 3.5 Pro be released?

Google has not provided a new release date. The company originally promised a June 2026 rollout but missed that target. Bloomberg reports the model is still in testing with partners.

Why is Gemini 3.5 Pro delayed?

Bloomberg cites three factors: multi-layered stakeholder approval processes, efforts to improve coding capabilities to match rivals, and competing internal teams building their own AI coding tools.

Is Gemini 3.5 Flash still available?

Yes. Gemini 3.5 Flash is live as the default model across the Gemini app and Google Search's AI Mode, serving over 900 million monthly users.

How does the Gemini delay affect enterprise AI decisions?

Teams planning integrations with Google's flagship AI should consider alternative models from OpenAI or Anthropic. Building model-agnostic architectures provides flexibility as timelines shift.

Source: PYMNTS | / PYMNTS