Google Cloud Rolls Out Gemini 3 for Enterprise Use

Gemini 3, the latest and most advanced AI model from Google DeepMind and Google Cloud, is now available for enterprise customers via Vertex AI and Gemini Enterprise.

The launch signals a significant push by Google to bring its cutting-edge multimodal and agentic AI capabilities into commercial settings.

According to Google, Gemini 3 combines “state-of-the-art reasoning and multimodality” to process text, images, video, audio and code within a single model. Use cases include analysing X-rays and MRIs, generating front-end prototypes from a single prompt and executing long-horizon tasks such as supply-chain planning or contract evaluation.

One of the most striking benchmarks: Gemini 3 Pro reportedly achieved a breakout 1501 Elo score at the LMArena Leaderboard.

Early customers such as Box, Figma and GitHub Copilot cite major productivity gains. For instance, Box claims Gemini 3 Pro is helping deliver “faster decisions” across mission-critical workflows from sales to legal.

“As organisations generate and work with vast amounts of unstructured data, Gemini 3 Pro brings a new level of multimodal understanding, planning, and tool-calling that transforms how Box AI interprets and applies your institutional knowledge,” Ben Kus, CTO, Box, said.

Presentations.AI uses Gemini 3's multimodal reasoning to analyze company info, extract key strategic moves, and generate content that enables enterprise sales teams to walk into C-suite meetings with intelligence that took analysts 6 hours to compile - generated in 90 seconds," Sumanth Raghavendra, CEO and Co-founder, Presentations.AI, added.

From a developer perspective, Gemini 3 also introduces strong “agentic coding” and “vibe-coding” capabilities, enabling teams to move rapidly from prototype to production. Integration into platforms like Google Antigravity, the Gemini CLI and third-party IDEs such as JetBrains and Replit is already underway.

“By bringing Gemini 3 Pro to GitHub Copilot, we’re seeing promising gains in how quickly and confidently developers can move from idea to code. In our early testing in VS Code, Gemini 3 Pro demonstrated 35% higher accuracy in resolving software engineering challenges than Gemini 2.5 Pro. That's the kind of potential that translates to developers solving real-world problems with more speed and effectiveness, ” Joe Binder, VP of Product, GitHub, said.

Google emphasises safety and governance: Gemini 3 underwent its “most comprehensive” suite of evaluations to date, including independent assessments and compliance with the Frontier Safety Framework.

With enterprise availability now live, Google Cloud is positioning Gemini 3 not just as a generative AI engine, but as a foundational platform for agentic workflows and large-scale transformation in business.