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Faster responses, a lower chance of rate limiting, and 10% off premium requests for paid users - auto picks the best available model for each request based on current capacity and performance. With auto you can’t choose a specific model, auto handles that for you. Auto model selection in Chat is being rolled out in preview to all GitHub Copilot users in VS Code, starting with the individual plans.
Auto selects the best model to ensure that you get the optimal performance and reduce the likelihood of rate limits. Auto will choose between Claude Sonnet 4, GPT-5, GPT-5 mini and other models, unless your organization has disabled access to these models. As we introduce picking models based on task complexity, this behavior will change over the next iterations.
For paid users, we currently plan to primarily rely on Claude Sonnet 4 as the model powering auto.

When using auto model selection, VS Code uses a variable model multiplier based on the automatically selected model. If you are a paid user, auto applies a 10% request discount. For example, if auto selects Sonnet 4, it will be counted as 0.9x of a premium request; if auto selects GPT-5-mini, this counts as 0x because the model is included for paid users. You can see which model and model multiplier are used by hovering over the chat response.
If you are a paid user and run out of premium requests, auto will always choose a 0x model (for example, GPT-5 mini), so you can continue using auto without interruption.
With VS Code's rapid usage growth, auto helps us manage capacity, so we can handle the millions of agentic requests coming in each day. That's our immediate goal, however this is not our long-term vision for auto. We aim to make auto the best model selection for most users and to achieve this, here's what we plan next:
Using VS Code Insiders and providing feedback in our open source repository is the best way to help us improve auto. For the latest information, check out the auto model selection documentation.
Happy coding!
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