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GitHub starts rolling out OpenAI's GPT-6.1 Sol in Copilot

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GitHub said on September 29, 2026 that GPT-6.1 Sol, which it describes as the latest model from OpenAI, is generally available and rolling out in GitHub Copilot.

GitHub said on September 29, 2026 that GPT-6.1 Sol, which it describes as the latest model from OpenAI, is generally available and rolling out in GitHub Copilot. GitHub positions it for agentic coding and terminal workflows.

The notice is a product-availability update from GitHub's changelog. It is not a model launch announcement from OpenAI, and this article relies on that single GitHub page.

According to GitHub, the model is open to Copilot Pro+, Max, Business and Enterprise users. It can be chosen in the model picker in Visual Studio Code, Visual Studio, Copilot CLI, the GitHub Copilot coding agent, the GitHub Copilot app, github.com, GitHub Mobile on iOS and Android, JetBrains IDEs, Xcode and Eclipse.

GitHub says the rollout is gradual and tells users who do not see the model yet to check back soon.

GitHub says that in early testing the model reliably completed tasks while using noticeably fewer tokens and steps than earlier models in the GPT-6 and GPT-5.6 families. The changelog gives no benchmark figures, no description of how the testing was done, and no size for the reduction. That makes the efficiency claim GitHub's own assessment, not independently measured evidence.

The model is billed at provider list pricing under usage-based billing, and GitHub points readers to its Models and pricing page rather than stating prices in the notice. For Copilot Business and Enterprise, administrators can manage access through the model policy in Copilot settings. Under default model enablement, new models are turned on automatically unless an administrator has switched off the global default or disabled this specific model.

Confirmed by the GitHub notice: the stated plans, the supported clients, the gradual rollout, the billing basis and the administrator controls.

Not confirmed: the performance and token-efficiency claims, which come only from GitHub's early testing, and any details of the model itself, such as capabilities, context size or per-token prices, which the notice does not provide. Searches turned up other sites repeating the GitHub announcement, but they appear to derive from it, and no independent OpenAI announcement was found. Some of them add figures and claims that could not be verified, so they are not used here.

For teams on the eligible plans, the practical effect is a new model option in the tools they already use, with costs tied to usage. Administrators who want to review new models before developers see them should check their default-enablement setting.

Revised 16 October 2026: Guth re-read the original sources and rewrote this article. The earlier version remains available as revision 1.

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