GitHub added OpenAI's GPT-6 Sol and Luna to Copilot on September 22, and Codex CLI added both to its model picker on September 23. Access differs by plan.
On September 22, 2026, GitHub said two more OpenAI models, GPT-6 Sol and GPT-6 Luna, are available in GitHub Copilot, joining GPT-6 Astra. GitHub describes Sol as a balanced model for interactive and agentic coding, and Luna as a lightweight, cost-efficient model for smaller, faster tasks and the lowest-cost option in the GPT-6 family.
Which plan gets which model differs. GitHub says Sol is available on Copilot Pro+, Max, Business and Enterprise. Luna is available on Pro, Pro+, Max, Business and Enterprise. You pick them in the model picker in editors such as VS Code, Visual Studio, JetBrains and Xcode, in the Copilot CLI, on github.com and in GitHub Mobile. GitHub says the rollout is gradual.
GitHub says these models are billed under usage-based billing. For Business and Enterprise, GitHub says new models are turned on automatically unless an administrator has turned off the global default or switched off the specific model.
The Codex CLI release rust-v0.156.1, published on September 23, says you can choose Sol or Luna in the model picker. We have not re-checked the pricing and regional figures that other outlets reported for these models, so this briefing leaves them out. See the sources below.
If you use coding agents, pin the model name in your tool settings and in any automated build. That way a model change is a choice you made and not a surprise. Do not move a coding agent to a cheaper model because of a headline claim. Replay a set of your own recorded tasks on both models and compare the results and the tokens used.
Decide who reviews new models before your staff can pick them. GitHub says that on Business and Enterprise plans, new models are turned on automatically unless an administrator has turned off the default. Different plans get different models, so check which of your seats can see Sol and Luna. A cheaper model does not always mean a cheaper task. If it needs more retries, it can use more.
Take fifty prompts your team really ran last week. Replay them on your current model and on Luna in a test setup. Write down where the answers differ and how many tokens each used. Change nothing in production. That log tells you whether a switch is worth it.
Source material behind this briefing. Our practical implications are Ashlr’s interpretation.
This briefing was prepared with AI assistance from the linked sources. The analysis may include interpretation; consult the original sources for complete context. Cover artwork is illustrative.

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