OpenAI Models Land on Google Cloud, Purchases Offset GCP Commitment Credits
OpenAI announced a partnership with Google Cloud to bring its top models and Codex to the Model Garden, allowing enterprises to offset existing GCP commitment spend.
US-based AI company OpenAI announced on October 21, 2026, a partnership with Google Cloud to integrate its top-tier models—GPT-6 Astra, GPT-6.1 Sol, and GPT-6 Luna—along with Codex agent workflows into Google Cloud's Model Garden platform. This move marks a significant expansion of OpenAI's cloud sales channels beyond Microsoft Azure to major global public cloud providers.
According to the announcement, the three models are available in private preview to select enterprise customers starting October 21, with general availability (GA) expected within weeks. A key financial mechanism for enterprises already holding Google Cloud commitment spend contracts is that purchases of OpenAI models via Google Cloud Marketplace can directly offset their existing GCP commitment credits. This allows companies to utilize their current cloud budgets for OpenAI models without initiating separate procurement processes.
Michael Gerstenhaber, VP of Product Management for Google Cloud Gemini, noted that customers can build applications using these models via API and connect local Codex CLI and desktop workflows directly to the Gemini platform for inference. Greg Brockman, President and Co-founder of OpenAI, stated that this partnership brings OpenAI's most powerful models into customers' existing deployment environments, offering more choices. Thomas Kurian, CEO of Google Cloud, emphasized the goal of providing diverse model options to help customers achieve optimal quality and lower costs.
Previously, OpenAI models were made available on Amazon Web Services (AWS) Bedrock and Oracle Cloud. Although OpenAI reiterated in its announcement that 'Microsoft remains OpenAI's primary cloud partner,' the collaborations with AWS, Oracle, and now Google Cloud demonstrate OpenAI's strategy to build a multi-cloud distribution network, catering to enterprise needs for avoiding vendor lock-in and flexibly utilizing existing cloud budgets.