Google’s 5 Coolest AI Products And Gemini Innovation In 2026

From Gemini 3.1 Pro to Gemini Enterprise for Customer Experience, here are five new Google AI products and other innovation launched in 2026.

Google’s artificial intelligence innovation engine is roaring in 2026 as the tech giant unveils new Gemini and AI solutions.

The $456 billion Mountain View, Calif.-based company launched Gemini 3.1 Pro, Agentic Vision for Gemini 3 Flash and its new Gemini Enterprise for Customer Experience this year, to name a few.

CRN breaks down five of the coolest new Google AI products and innovation unveiled in 2026 that every customer, investor and partner needs to know about.

Gemini 3.1 Pro

Building on the Gemini 3 series, Google’s new Gemini 3.1 Pro model represents a step forward in core reasoning, long-context comprehension and agentic workflows.

Google said its new 3.1 Pro advanced AI model is designed for tasks where a simple answer isn’t enough, taking advanced reasoning and making it useful for users’ hardest challenges.

[Related: Google CEO On Being ‘Supply Constrained,’ Gemini 3 Wins, AI Sales and Google Cloud’s $240B Backlog]

The improved intelligence can help in practical applications—whether you’re looking for a clear, visual explanation of a complex topic, a way to synthesize data into a single view, or bringing a creative project to life.

The 3.1 Pro supports text, images, audio, video and code, plus a context window of up to 1 million tokens.

Gemini 3.1 Pro is now available in the Gemini app with higher limits for users with the Google AI Pro and Ultra plans. 3.1 Pro is also available on NotebookLM for Pro and Ultra users. Developers can access 3.1 Pro in the Gemini API via AI Studio, Antigravity, Vertex AI, Gemini Enterprise, Gemini CLI and Android Studio.

Click through to read about the four other new Google AI products launched in 2026.

Gemini Enterprise for Customer Experience

Google’s new Gemini Enterprise for Customer Experience (CX) is an agentic solution designed to bring shopping and customer service together on a single interface for businesses.

The solution introduces new prebuilt and configurable agents developed using Google’s latest Gemini models and can be quickly deployed in days.

Gemini Enterprise for CX includes a new Google Shopping agent that delivers a complete end-to-end offering, connecting frontend interfaces like chat and voice, directly to backend tools.

Another new agent inside Gemini Enterprise for CX is an enhanced Food Ordering agent for restaurants that offers conversational AI capabilities across channels including mobile apps, websites, telephone, kiosks, and in-car systems.

Clients can manage agents across the entire customer lifecycle, from initial product discovery to post-purchase resolution.

Agentic Vision For Gemini 3 Flash

Some AI models process an image in a single, static snapshot. If a detail is too small or blurry in one glance, AI makes an educated guess that can cause hallucinations.

Google said its new Agentic Vision turns Gemini 3 Flash from a passive observer into an active investigator. It converts image understanding from a static act into an agentic process.

By combining visual reasoning with code execution, the model formulates plans to zoom in, inspect and manipulate images step-by-step, grounding answers in visual evidence.

Agentic Vision introduces an agentic Think, Act, Observe loop into image understanding tasks. For example, the Think model analyzes the user query and the initial image and forms a multi-step plan. The Act model generates and executes Python code to actively manipulate images or analyze them. Then for Observe, the transformed image is appended to the model’s context window to allow the model to inspect the new data with better context before generating a final response.

Agentic Vision is available via the Gemini API in Google AI Studio and Vertex AI, and it’s rolling out in the Gemini app.

TranslateGemma On Gemma 3

Google introduced TranslateGemma this year, which is a collection of open translation models that help people communicate across 55 languages, no matter where they are or what device.

TranslateGemma was built on Gemma 3 and is available in 4B, 12B, and 27B parameter sizes.

By distilling the knowledge of Google’s most advanced large models into compact open models, the company says it has created a suite where efficiency doesn’t require a compromise on quality.

Google designed TranslateGemma to serve as a foundation for further adaptation, making it a starting point for researchers to fine-tune their own models for specific language pairs or to improve quality for low-resource languages.

Developers can achieve high-fidelity translation quality using less than half the parameters of the baseline model, Google said. This efficiency breakthrough allows for higher throughput and lower latency without sacrificing accuracy.

Gemini 3 Deep Think Major Upgrade

Google’s specialized reasoning mode Gemini 3 Deep Think received a significant upgrade this year to better solve modern science, research and engineering challenges.

Google said the revamped Gemini 3 Deep Think blends deep scientific knowledge with everyday engineering utility to move beyond abstract theory to drive practical applications.

Deep Think is built to drive practical applications, enabling researchers to interpret complex data, and engineers to model physical systems through code.

Beyond mathematics and complex coding, Gemini 3 Deep Think now also excels across broad scientific domains such as chemistry and physics, Google said.

The new Deep Think is now available in the Gemini app for Google AI Ultra subscribers.

For the first time, Google is also making Deep Think available via the Gemini API to select researchers, engineers and enterprises.