OpenAI Brings Its Frontier AI Models to Google Cloud
OpenAI has started a new partnership with its artificial intelligence (AI) rival, Google.
The partnership brings OpenAI’s most advanced AI models and Codex’s agent-based tools to Google Cloud’s Model Garden, the companies announced on Wednesday, October 21.
The goal is to let customers use these models directly to handle complex tasks that AI agents can carry out, even at a large scale. Google Cloud will support this work with tools for managing data and powerful computing systems.
“Google Cloud’s longstanding investment in machine learning and AI has made it a destination for AI workloads and the developers and data scientists building them,” OpenAI said.
“Bringing OpenAI models to its model garden gives these teams access to OpenAI’s most advanced models in the environment where they already work. This helps businesses update their software development processes, build workflows powered by AI agents, and change how people work.”
The companies also said Google Cloud customers will be able to buy OpenAI’s most advanced models through Model Garden. Support for Google Antigravity and the Gemini Agent is expected soon. This will give businesses more freedom to choose models and select the best one for each task.
A Reuters report on the partnership refers to earlier comments from Google Cloud CEO Thomas Kurian. He said Google Cloud is an open platform that welcomes any AI model that developers like to use.
The report says the partnership reflects a wider change across the industry. Large cloud computing companies are becoming the main sales channels for companies that build the most advanced AI models. Cloud providers usually earn a share of the money made from sales through their platforms.
Anthropic, an OpenAI competitor backed by Amazon and Google, earned 47% of its revenue in 2025 through those companies’ cloud platforms, according to its initial public offering (IPO) filing, Reuters added.
In other AI news, PYMNTS reported on Wednesday that finance teams have quickly started using AI, but they have been much more cautious about allowing AI to take actions on its own.
According to PYMNTS Intelligence, the use of generative AI to manage cash flow rose from 16% in 2025 to 80% in 2026. By contrast, the use of agentic AI fell from 6% to 5%. These findings appeared in the report “Time to Cash: What Two Years of Data Say About Faster Cash and Rising Risk,” which was produced in partnership with JPMorgan.
“The gap offers a measure of where finance automation stands,” PYMNTS wrote. “AI is becoming common in the systems that analyze cash and recommend what to do next, while letting AI carry out actions on its own remains rare.”