Microsoft has expanded its GPT-6 lineup in Microsoft Foundry, making GPT-6 Sol and GPT-6 Luna generally available alongside the existing GPT-6 Astra model.
The three models are positioned for different jobs in an agent pipeline. Astra is recommended for demanding reasoning, software engineering and computer-use tasks. Sol is aimed at general-purpose production agents, coding and multi-step knowledge work. Luna is built for high-volume, lower-complexity tasks: extraction, summarization, request routing and routine customer interactions.
Pricing scales with capability. At Global Standard rates for short context, Astra costs $10.00 per million input tokens and $50.00 per million output tokens; Sol costs $2.00 input / $10.00 output; Luna costs $0.10 input / $0.50 output. Data Zone deployments in the US and EU carry a 10-20% premium over Global pricing. Microsoft is pushing customers to evaluate "cost per task" rather than per-token pricing when choosing which model handles which step.
Deployment options vary by model. Standard deployment is available for all three models across 28 Global regions and US/EU Data Zones. Provisioned Throughput, which reserves capacity, is available for Astra and Sol. Priority Processing, a faster pay-as-you-go lane, is available only for Sol.
Microsoft cites Manus and Wolters Kluwer Tax & Accounting as customers already running agentic workflows on Azure OpenAI models, with Wolters Kluwer's CTO noting the models' step-by-step reasoning suits research and compliance workflows that need to "hold up to scrutiny."
Foundry's evaluation and monitoring tools are meant to help teams decide, with evidence, which model tier fits which workload rather than defaulting to the newest or most capable option for every task.