Whether or not an average user will end up paying more depends very much on the individual user, and to a certain extent on who you ask. The Comments section of the GitHub Community Discussions page that announced the changes back in April 2026 has many reports of users finding that their credits are being exhausted much more quickly than expected. User ‘rvs99’ said, “My 12% of total AI credits burned like anything for very minor task. I used Claude Sonnet 4.6 as usual and in response it barely updated 2-3 lines in total 6 files which costed like ~$0.35 per line updates.” ‘prhost’ posted a screen-grab of their account dashboard that showed 3,705 credits remaining of an allowance of 7,000 after 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 seen by the platform’s owners, Microsoft, as loss leaders. It was immediately apparent that allowing users to burn far more tokens than their subscription value represented was never going to be sustainable. Cursory reading around the internet away from the big model providers’ announcements and posts revealed that, as a business model, subscription-based billing could only be temporary. What is surprising, perhaps, is the surprise of many users that their coding platform is now being billed for at levels in keeping with suppliers’ costs. Running an LLM is not a cheap undertaking, especially considering the additional sums involved in developing new models, post-training, maintenance, data centre construction, future loan repayments, and so on.
