GPT-6 Astra reaches paid ChatGPT plans with tighter message allowances
OpenAI opened GPT-6 Astra to paid ChatGPT plans; the 5–45 messages available to Plus users in a five-hour window are roughly half the 10–100 range for GPT-5.6 Sol. The model is also available through ChatGPT Work, Codex, the OpenAI API, Microsoft Azure and AWS Bedrock. GitHub is rolling Astra out gradually across paid Copilot tiers and supported editors; neither availability announcement includes an independent performance measurement.
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New access limits across ChatGPT plans
GPT-6 Astra opened to paid ChatGPT plans. Plus users receive 5–45 messages in a five-hour window, while GPT-5.6 Sol offers 10–100 messages over the same period. GPT-6 Astra Pro allowances vary by plan: the largest reaches 200 messages a week, the smallest 15 messages a month, and Business Premium provides 50 a week. OpenAI notes that actual use varies with model choice, context length, reasoning depth, tool use and caching. These limits are part of an availability announcement, not an independent measurement of the model's performance.[2]
One model across several paid surfaces
Beyond ChatGPT, the access list includes ChatGPT Work, Codex, the OpenAI API, Microsoft Azure and AWS Bedrock. GitHub has made GPT-6 Astra generally available to Copilot Pro+, Max, Business and Enterprise users. The model can be selected in Visual Studio Code, Visual Studio, JetBrains IDEs, Xcode, Eclipse, the Copilot CLI, the coding agent, github.com and GitHub Mobile. These two rollouts place the same model in direct chat and developer services as well as Copilot's coding surfaces. Access on both sides is confined to paid products.[1], [2]
The Copilot rollout remains gradual
GitHub's rollout is gradual, so Astra may not appear immediately for every Copilot account. On ChatGPT, usage varies with the selected plan, model, context length, reasoning depth, tools and caching. Together, those limits mean general availability does not deliver the same amount of access to every user at once. GitHub reports stronger results on long-horizon coding, but that assessment comes from its own tests and names no benchmark. The ChatGPT availability announcement likewise includes no independent evaluation of what the model can do.[1], [2]
