GitHub Copilot Price Increase What Token Based Billing Means for Users

Since its announcement in April this year, the proposed changes to billing methods on GitHub Copilot were a source of much speculation: how much more or less would a pay-as-you-use AI cost an organisation or individual compared to a flat-rate, monthly subscription?

Just a day into the changeover to token-based billing for the LLM-based service, software developers and IT departments have been reporting their findings online — and the shortened version is that, as of 1st June 2026, using GitHub Copilot in software development and deployment just got a whole lot more expensive.

What Are the Changes to GitHub Copilot's Charging Scheme?

Although subscription prices have not changed, the prices now refer to a monthly number of credits that can be spent on the various AI models available on the GitHub platform. For a typical user, one credit costs a single cent, and depending on the model variant selected at the point of inference, credits are deducted according to how much computational effort is expended.

Users will burn through their credits in the form of tokens, which are priced differently according to the power and type of model used. For example, using ChatGPT-5.2:

When users exhaust their allotted credits, they have the option to purchase more. Code completions inside a developer's IDE and 'next edit' suggestions will remain free — however, Code Review processes will be billed at the same rates as other GitHub Copilot activities.

Will Users Pay More to Use Copilot?

Whether an average user ends up paying more depends very much on individual usage patterns. The GitHub Community Discussions page that announced the changes in April 2026 has been flooded with reports of credits being exhausted far more quickly than anticipated.

💬 User 'rvs99' said: "My 12% of total AI credits burned like anything for very minor tasks. I used Claude Sonnet 4.6 as usual and in response it barely updated 2–3 lines in 6 files, which cost like ~$0.35 per line update."

💬 User 'prhost' posted a screenshot showing 3,705 credits remaining from an allowance of 7,000 after just one day's use, and stated: "It would be easier to shut down the project. Microsoft shot themselves in the foot."

💬 User 'zoomp05' summarised the tone of most commentators: "The strategy is clear, but it would have been good to say from the beginning, 'This is a subsidized trial' or something similar, to promote our tool."

The initial subscription offerings from GitHub — now deprecated — were likely viewed by Microsoft as loss leaders. It was always clear that allowing users to consume far more tokens than their subscription value represented was never going to be sustainable. Running an LLM is not a cheap undertaking, especially when factoring in model development, post-training, maintenance, data centre construction, and future capital repayments.

What Businesses Might Do Now

Those invested in supporting development teams with LLM-based coding tools have several strategic options to consider:

📷 Image source: Pixabay, under licence.