GitHub Copilot Users Face Sticker Shock as Usage-Based Pricing Takes Effect

Summary

GitHub Copilot switched to usage-based billing on June 3, 2026, replacing its previous request-based pricing model. The change has triggered widespread user frustration as developers discover that typical AI usage now consumes credits far faster and more expensively than anticipated. Across social media and developer forums, users are reporting extreme sticker shock, with some exhausting their entire monthly credit allocation in less than 24 hours of testing.

Under the new system, GitHub allocates monthly AI "credits" to paid subscribers, where 1 credit equals $0.01 of inference cost. The Pro plan ($10/month) includes 1,500 credits ($15 value), Pro+ ($39/month) includes 7,000 credits ($70 value), and Copilot Max ($100/month) includes 20,000 credits ($200 value). However, actual credit consumption varies dramatically based on the underlying LLM chosen—frontier models like GPT-5.5 cost 24x more per token than economy alternatives like GPT-5.4 nano, and some users report Auto mode inadvertently switching to expensive models for simple queries.

Developer reports paint a sobering picture of real-world costs: single complex prompts consuming 171-700 credits, a few hours of cautious testing consuming 840 credits, and multi-prompt sessions burning through 5,000+ credits. GitHub's rationale—that the old system allowed users to exploit pricing by conflating cheap queries with expensive multi-hour coding sessions—rings hollow to frustrated users considering switching to competitors due to perceived unaffordability.

• Typical developer workflows show costs of 100-700+ credits per session depending on task complexity, potentially exceeding monthly budgets for heavy users
• Sentiment is shifting toward competitor products as developers voice concerns about affordability and sustainability of long-term Copilot usage