GCP – Gemini 2.5 Flash and Pro expand on Vertex AI to drive more sophisticated and secure AI innovation

Today at Google I/O, we’re expanding Gemini 2.5 Flash and Pro model capabilities that help enterprises build more sophisticated and secure AI-driven applications and agents:

• Thought summaries: For enterprise-grade AI, we’re bringing clarity and auditability with thought summaries. This feature organizes a model’s raw thoughts — including key details and tool usage — into a clear format. Customers can now validate complex AI tasks, ensure alignment with business logic, and dramatically simplify debugging, leading to more trustworthy and dependable AI systems.

• Deep Think mode: Using new research techniques that enable the model to consider multiple hypotheses before responding, will help Gemini 2.5 Pro get even better. This enhanced reasoning mode is designed for highly-complex use cases like math and coding. We will be making 2.5 Pro Deep Think available to trusted testers soon on Vertex AI.

• Advanced security: We’ve significantly increased Gemini’s protection rate against indirect prompt injection attacks during tool use, a critical factor for enterprise adoption. Our new security approach makes Gemini 2.5 our most secure model family to date. 

Gemini 2.5 Flash will be generally available for everyone in Vertex AI early June, with 2.5 Pro generally available soon after. Let’s dive into how these advancements can impact your business, from operations to customer engagement.

Powering diverse enterprise needs with Gemini 2.5 Flash and Pro on Vertex AI

Our customers are seeing real value and boosting efficiency with Gemini 2.5 models on Vertex AI. From delivering faster response times to tackling complex extraction, enterprises are pushing the boundaries of automation.

“With respect to Geotab Ace (our data analytics agent for commercial fleets), Gemini 2.5 Flash on Vertex AI strikes an excellent balance. It maintains good consistency in the agent’s ability to provide relevant insight to the customer question, while also delivering 25% faster response times on subjects where it has less familiarity.  What’s more, our early analysis suggests it could operate at potentially 85% lower cost per question compared to the Gemini 1.5 Pro baseline. This efficiency is vital for scaling AI insights affordably to our customers via Ace.” –Mike Branch, Vice President Data & Analytics, Geotab.

For the most complex enterprise solutions, Gemini 2.5 Pro is our most advanced and capable model. The introduction of Deep Think mode will help make 2.5 Pro even better by using our latest cutting edge research in thinking and reasoning, including parallel thinking techniques. 

We’ve enhanced 2.5 Pro usability with features like configurable Thinking Budgets (up to 32K tokens), allowing for fine-tuned control over processing. This means enterprises can tackle more intricate challenges and gain deeper insights. 

“Box is revolutionizing how enterprises interact with their vast, and rarely organized, amounts of content. With Box AI Extract Agents, powered by Gemini 2.5 on Vertex AI, users can instantly extract precise insights from complex, unstructured content – whether it’s scanned PDFs, handwritten forms, or image-heavy documents. Gemini 2.5 Pro’s advanced reasoning makes it the top choice for tackling complex enterprise tasks, delivering 90%+ accuracy on complex extraction use cases and outperforming previous models in both clause interpretation and temporal reasoning, leading to a significant reduction in manual review efforts. This evolution pushes the boundaries of automation, allowing businesses to unlock and act upon their most valuable information with even greater impact and efficiency.” – Yashodha Bhavnani, Vice President of AI Product Management, Box

The versatility of the Gemini 2.5 family allows diverse organizations like LiveRamp to innovate and democratize data access.

 “With its improved reasoning capabilities and insightful responses, Gemini 2.5 provides tremendous potential for LiveRamp. Its advanced features can enhance our data analysis agents and add support across our product suite, including segmentation, activation, and clean room-powered measurement for advertisers, publishers, and retail media networks. We are committed to assessing the model’s impact across a wide array of features and functionalities to ensure our clients and partners can unlock new use cases and enhance existing ones.” – Roopak Gupta, Vice President Engineering, LiveRamp”

Google Developer Experts building with Gemini 2.5

Google Developer Experts (GDEs) are a global community of tech experts, influencers, developers, and thought leaders. The community is already testing out Gemini 2.5 and building solutions. Take a look at some examples: 

• Kalev built a persona-based news recommender service for a supply chain analyst using Gemini 2.5 Pro’s large context window and reasoning abilities to filter and summarize global news relevant to their specific role.

• Rubens built the Xtreme Weather App, a disaster preparedness multi-agent system, using Gemini 2.5 Pro for intelligent query routing and generating clear, actionable emergency guidance from diverse weather and hazard data. This use case demonstrates Gemini’s benefit in transforming complex environmental information into personalized advice, empowering users to prepare effectively for potential climate threats in their specific location.

• Truong built a GitHub Action that automatically reviews pull requests using Google’s Gemini AI. This action helps catch errors, inconsistencies, and potential bugs early on. This leads to more robust and reliable software.

These developers are showing how Gemini on Vertex AI enables businesses and developers to achieve new efficiencies and foster innovation.

Get started today

Explore the documentation, experiment in Google AI Studio, and start building next-generation AI-powered solutions on Vertex AI today!