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GitHub Copilot Now Has Token Billing: What It Actually Costs

On June 1, 2026, GitHub Copilot’s new token billing changed how you pay, and plenty of developers are pretty annoyed about it.

Short version: Copilot went from flat, all-you-can-eat pricing to usage-based billing. What you pay now depends on which AI model you use and how many tokens you burn through. If that made your wallet twitch, you’re not alone. The change lit up developer forums, and one widely shared TechCrunch headline quoted a dev calling it “what a joke.”

So let’s skip the panic and look at what really changed, what’s still free, and how to keep your bill from getting silly.

What GitHub Copilot’s token billing actually changed

Since June 1, every Copilot plan runs on usage-based billing. The cost of each interaction comes down to two things: the model you pick, and how many tokens it chews through (input, output, and cached).

The base subscription prices didn’t go up. Copilot Pro+ is still $39 a month and now comes with $39 in monthly AI Credits. Business is $19 per user a month, and Enterprise is $39 per user a month. Credits get spent at a fixed rate, where 1 credit equals $0.01, so a $10 budget buys you 1,000 of them.

The good news: completions are still free

Here’s the bit the angry headlines tend to skip. The feature that made Copilot famous in the first place, inline code completions plus Next Edit Suggestions, is still unlimited and isn’t metered. If you mostly use GitHub Copilot to autocomplete as you type, your day barely changes.

The catch: agents burn through credits

The metering kicks in on the heavier stuff: chat, agent mode, agentic workflows, and AI code review. All of that draws down your credits, and the rate depends on the model you’re running. Reasoning models and big refactors are the real budget killers. One serious agent session can eat a surprising slice of your monthly allowance.

That’s what’s got people upset. If you lean on agent mode for actual work, like refactoring, multi-file edits, or long chains of reasoning, you can blow through your included credits and end up paying noticeably more than the old flat fee.

How to keep your bill sane

A few habits keep your GitHub Copilot token billing under control.

Lean on completions for the routine stuff. They’re free and unlimited, so let them do the heavy lifting on everyday typing.

Save agents for the hard problems. Use agent mode and reasoning models when a task genuinely needs them, not for boilerplate.

Reach for a cheaper model when you can. Not every prompt needs the priciest reasoning model. Match the model to the job.

Keep an eye on the meter. Check your credit usage early in the cycle so a heavy refactor week doesn’t blindside you.

On an annual plan? You’ve got breathing room. Annual Pro and Pro+ users stay on their old pricing until it runs out.

The bigger picture

GitHub Copilot isn’t an outlier. It’s a preview of where things are heading. As the real cost of running big AI models starts to bite, flat “unlimited” pricing gets harder to keep alive. Expect more AI tools to copy GitHub Copilot token billing and move to metered pricing, which turns understanding tokens and model costs into a real skill, not just a line on an invoice. It’s the same money pressure reshaping the whole industry, from the companies racing to go public right down to the cost of a single prompt.

Used with a little care, GitHub Copilot is still one of the better deals in software. You just have to drive it like there’s a meter running now, because there is.

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