Foundry offers Provisioned Throughput for two of the three GPT-6 models
Microsoft says evaluations should decide which GPT-6 model runs each agent. The serving matrix leaves Luna without reserved capacity. GitHub turns both new models on for admins who left the default alone.
The Engineer · Build desk
What happened
- Microsoft made GPT-6 Sol and GPT-6 Luna generally available in Microsoft Foundry alongside GPT-6 Astra, which it recommends as the starting point for demanding reasoning and computer-use work.
- GitHub added both models to the Copilot picker in VS Code, Visual Studio, the Copilot CLI, JetBrains, Xcode, Eclipse and its mobile apps, billed under usage-based billing on a gradual rollout.
- Copilot Business and Enterprise admins govern access through model policy, where new models switch on automatically unless the global default is off or that model is explicitly disabled.
Why it matters
- Who has to decide decision A team without comparison runs ends up on whatever tier GitHub's model policy turns on for its coding agents, and the cheapest place to find that out is an eval run.
- What it limits constraint Any high-volume step that also needs guaranteed throughput has to be promoted from Luna to Sol, so predictability comes at a higher unit cost.
- Who's exposed exposure A latency-sensitive agent pinned to the EU Data Zone falls outside the region list for Priority Processing, so an EU tenant and a Global tenant running the same agent are not on the same serving tier.
- What it costs cost Cost per task is the measure Microsoft proposes, and producing it is customer-side work: traces, token counts per tier and a completion label per task, before any migration is priced.
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The setting that decides this for most teams is in Copilot's model policy. GitHub's changelog says that under default model enablement, new models are enabled automatically unless an administrator has turned off the global default or explicitly disables the model [14]. Rollout is gradual [13]. On a Business or Enterprise tenant where nobody has opened that page, Sol and Luna arrive in the picker in VS Code, Visual Studio, the Copilot CLI, JetBrains, Xcode and Eclipse on GitHub's schedule [12].
Microsoft's own guidance treats the choice as an evidence problem. "The right model for a job should be determined through evaluations: an agent handling a complex business decision and one routing routine requests have different needs," the Azure post says [7]. It recommends starting with Astra for demanding work and carrying higher-volume workloads to Sol and Luna [5], with Luna aimed at extraction, summarization, request routing and routine customer interactions [6].
Then read the deployment list, because it does not line up with the tiers. Standard covers all three models across all 28 Global regions plus the US and EU Data Zones [2]. Provisioned Throughput covers Astra and Sol, in Global regions and the US and EU Data Zones [3]. Priority Processing is listed for Sol only, in Global regions and US Data Zones [4]. Count the options per model: Sol appears in three, Astra in two, Luna in one [17]. Luna is the model Microsoft recommends for the highest call volumes [18].
The plan matrix runs the other way. Sol needs Copilot Pro+, Max, Business or Enterprise, and Luna is the one of the two that also reaches Copilot Pro [11][20]. Both bill under usage-based billing, with GitHub pointing to its pricing page for rates [15].
On money, Microsoft writes that customers should look beyond pricing per token and seek to understand cost per task, which it calls a better measure of ROI [8]. The post refers to an accompanying chart it says illustrates why enterprise customers on Foundry are switching to GPT-5.6 Sol and the latest GPT-6 offerings; the post text does not include the chart's figures [9].
The named customer in the post talks about integration and support. "Through Azure, we reliably integrate advanced models into our agentic workflows, enabling Manus to understand user intent, plan tasks, and execute complex work," said Tao Zhang, Co-Founder and Product Partner at Manus [16].
So the harness has real work to do. For each agent step you need a completion measure, token counts per tier, and a note of which serving option that step actually has available in the region it runs in. Sol is the only model in the lineup for which all three serving options are listed [17].
What to watch
- Whether Provisioned Throughput is extended to Luna, which would make the cheapest tier viable for reserved-capacity batch work.
- Whether Priority Processing reaches the EU Data Zone, or Astra and Luna, beyond the current Sol-only listing.
- Whether Microsoft publishes the cost-per-task figures behind the switching chart, or per-token prices for the three models.
Clarity's read
What the record supports and how the coverage leans. The claims behind it follow.
Reality
- Evidence56
- Adoption34
- Hype gap+30
- Incentives92
- Confidence68
Claim ledger
Ranked by verification strength, evidence, and original report placement.
- [1]
Microsoft announced that GPT-6 Sol and GPT-6 Luna join its generally available lineup in Microsoft Foundry, expanding the GPT-6 series alongside GPT-6 Astra.
- [2]
Standard deployment is available for Astra, Sol and Luna across all 28 Global regions, and US and EU Data Zones.
- [3]
Provisioned Throughput is available for Astra and Sol across Global regions and US and EU Data Zones.
- [4]
Priority Processing is available for Sol across Global regions and US Data Zones.
- [5]
Microsoft recommends customers start with GPT-6 Astra for demanding work, and says that for higher-volume workloads GPT-6 Sol and Luna carry that progress forward.
- [6]
Microsoft says GPT-6 Sol is excellent for general-purpose use, and that Luna should be used for extraction, summarization, request routing and routine customer interactions.
- [7]
"The right model for a job should be determined through evaluations: an agent handling a complex business decision and one routing routine requests have different needs."
- [8]
Microsoft writes that customers should look beyond pricing per token and seek to understand cost per task, which it calls a better measure for understanding the ROI of AI.
- [9]
The Azure post refers to an accompanying chart it says illustrates why enterprise customers on Microsoft Foundry are switching to GPT-5.6 Sol and the latest GPT-6 offerings; the post text does not include the chart's figures.
- [10]
GitHub describes GPT-6 Sol as a balanced model for interactive and agentic coding, and GPT-6 Luna as a lightweight, cost-efficient model and the lowest-cost option in the GPT-6 family.
- [11]
GPT-6 Sol is available to Copilot Pro+, Max, Business and Enterprise plans; GPT-6 Luna is available to Copilot Pro, Pro+, Max, Business and Enterprise plans.
- [12]
The models can be selected in the model picker in Visual Studio Code, Visual Studio, Copilot CLI, the GitHub Copilot cloud agent, the GitHub Copilot app, github.com, GitHub Mobile iOS and Android, JetBrains, Xcode and Eclipse.
- [13]
GitHub says rollout of the two models will be gradual.
- [14]
Copilot Enterprise and Copilot Business plan administrators can manage access to GPT-6 models through the model policy in Copilot settings; under default model enablement, new models are enabled automatically unless an administrator has turned off the global default or explicitly disables this model.
- [15]
GitHub says the models are billed under usage-based billing and points to its pricing page for Copilot models and requests.
- [16]
"Through Azure, we reliably integrate advanced models into our agentic workflows, enabling Manus to understand user intent, plan tasks, and execute complex work."
- [17]
Counting the three serving options Microsoft lists, Sol appears in all three (Standard, Provisioned Throughput, Priority Processing), Astra in two, and Luna in one.
- [18]
Luna is the model in the announced lineup with no reserved-capacity option, because Provisioned Throughput is listed for Astra and Sol only.
- [19]
In the EU Data Zone the available options are Standard for all three models and Provisioned Throughput for Astra and Sol, since Priority Processing is listed only for Global regions and US Data Zones.
- [20]
Of the two newly added Copilot models, Luna has the wider plan coverage because it includes Copilot Pro, while Sol starts at Pro+.
Sources
2 independent publishers whose own reporting we read for this story.
- azure.microsoft.comGPT-6 Astra, Sol, and Luna: For production agents in Microsoft Foundry
2 articles · September 22, 2026
- github.blogOpenAI's GPT-6 Sol and GPT-6 Luna now available - GitHub Changelog
1 article · September 22, 2026
Topics and entities
Topics
- AI Coding Assistants
- Model Selection and Cost per Task
- LLM Serving Options
- Data Residency and Inference Geography