Realtime AI News
Google Cloud adds OpenAI models to Model Garden, led by GPT-6 Astra
Google Cloud is now offering OpenAI models through Model Garden, placing three of OpenAI’s closed models alongside more than 200 Google, third-party and open models in one catalog. The first three are GPT-6 Astra, GPT 6.1 Sol and GPT 6.0 Luna, sold through Google Cloud Marketplace and billed on a single Google Cloud invoice.
Google Cloud said on October 27 that it will offer OpenAI models through Model Garden, the catalog where enterprises find the company’s own models alongside third-party and open ones. With the addition, customers can reach three leading closed models and more than 200 Google, third-party and open models from a single platform.
The first three OpenAI models cover different jobs. GPT-6 Astra is positioned for complex work including coding, computer use, professional tasks and scientific research; GPT 6.1 Sol is meant to deliver comparable intelligence at lower cost for agentic coding, computer use and professional work; and GPT 6.0 Luna is the fast, cost-efficient option for high-volume everyday tasks.
“We continue to be committed to giving customers a range of model choice, including OpenAI’s models, so customers can pick the best fit for each need,” Google Cloud CEO Thomas Kurian said in a statement. OpenAI president and co-founder Greg Brockman described Google Cloud as a trusted platform for developers and enterprises building AI agents, developing software and putting AI to work.
Brockman added that the partnership is “an important step in bringing our most advanced AI models and Codex to the platforms customers use to build all kinds of solutions.” That framing points to the other half of the deal: OpenAI is not only placing chat models on the shelf but also Codex, its flagship coding agent, in the category where enterprise AI spending is most concentrated.
Commercially, the OpenAI models are purchased directly through Google Cloud Marketplace, and all usage lands on a single Google Cloud bill. Customers can switch models dynamically based on performance, latency and cost, without tying themselves to one architecture or signing separate contracts with different providers.
The arrangement makes sense for both sides. At a moment when buyers increasingly choose a model per task rather than a cloud vendor for everything, stocking a rival’s models is a way for Google Cloud to keep enterprise workloads on its platform. For OpenAI, it is channel expansion without building its own infrastructure, particularly in accounts already used to buying software through cloud marketplaces.
Google Cloud said the OpenAI models will also appear in Gemini for Business and Google Antigravity in the near future. Two things are worth watching: how Gemini and OpenAI models are priced and ranked side by side in the same catalog, and whether clouds reselling rivals’ models becomes the default shape of enterprise AI procurement.
Why it matters
Cloud providers are shifting from selling their own models to curating a model shelf, which gives enterprises more leverage but makes the link between model choice, billing and platform lock-in harder to read.
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