GitHub Copilot is Changing How It Charges You for AI Help

GitHub is switching how it charges for Copilot, its AI coding assistant. Starting June 1, 2026, instead of paying a flat monthly fee, you'll pay based on how much you actually use the service.

Think of it like your electricity bill. Right now, you might pay $20 a month no matter whether you use a little or a lot. The new way is more like paying for each unit of power you actually consume. GitHub will measure your usage in "tokens" — the AI equivalent of the actual data moving back and forth. Every interaction gets converted into credits, charged at $0.01 per credit.

How the New Pricing Works

Under the new system, GitHub tracks three kinds of tokens. Input tokens are the code you send to Copilot. Output tokens are the suggestions it sends back to you. Cached tokens are results the system already calculated and stored — these cost less because the AI doesn't have to think about them again.

Different features consume different amounts of tokens. A simple code suggestion uses fewer tokens than a complex refactoring that touches multiple files. The more tokens you use, the more credits you pay.

Plans for Individual Users

GitHub is offering several different plans for people using Copilot on their own: Copilot Free, Copilot Pro, Copilot Pro+, and Copilot Max. Each tier includes a monthly credit allowance, though GitHub hasn't yet published the exact amounts for each one.

If you use Copilot on your phone through the GitHub app, you can't buy extra credits beyond what comes with your plan. This is because app stores have their own rules about how payments work inside apps.

How Teams and Companies Will Be Charged

When a team or company buys Copilot licenses, all the credits get pooled together. This means the group shares one credit budget instead of each person having their own. Someone using Copilot heavily will draw more from the shared pool, while someone using it lightly will use less.

This is different from the old system, where every license cost the same amount each month regardless of actual use. With the new approach, a company can predict costs better by looking at how much their developers actually use Copilot over time.

Why This Matters

The shift to usage-based billing moves GitHub's costs closer to what it actually spends running its AI models. The token system is more precise than just counting requests, because some interactions require much more computing power than others.

This pattern has happened before in tech. Amazon Web Services started with simple pricing for cloud computers, then moved to charging for the exact resources you used. Google Cloud did the same with how long you run programs. As technology becomes more common and reliable, the companies offering it usually switch to fairer pricing that matches how much customers actually need.

For teams using Copilot, this change means they'll need to pay attention to how much they're using it. Some organizations might set guidelines for their developers about which features to use, similar to how companies monitor internet bandwidth or cloud storage. There's a real possibility that bills could surprise people if they're not watching their usage, so keeping track will matter.

The bigger picture here is that Copilot and tools like it are growing up. When AI assistants were new, they were priced like experimental extras. As they become normal tools that developers rely on every day, the business model shifts to something more realistic and sustainable.