What GitHub Copilot’s Token-Based Billing Actually Means
GitHub Copilot’s new token-based billing is a usage-based pricing model where you pay according to the volume of tokens processed by AI models, measured across inputs, outputs, and cached data, instead of paying a fixed fee tied to a number of premium requests or calls. Copilot started as a code-completion helper but now runs longer, agent-like coding sessions over whole repositories, which makes flat subscriptions harder to sustain. GitHub has therefore retired its premium request model and replaced it with the AI Credits system: each paid plan now comes with a monthly pool of GitHub AI Credits that are consumed as models work. The shift aligns Copilot with other AI platforms that bill per token, but it also moves more cost risk onto users who rely heavily on long chats, repository-wide refactors, or autonomous agents rather than brief autocomplete-style help.
How AI Credits, Flex Allotments, and the New Max Plan Work
Under the new GitHub Copilot pricing, the sticker price of each plan stays the same, but what you receive is now framed as GitHub AI Credits instead of abstract premium requests. Individual Pro subscribers at USD 10 (approx. RM46) per month receive USD 15 (approx. RM69) in credits, while Pro+ subscribers at USD 39 (approx. RM180) receive USD 70 (approx. RM322). Each plan has a base credit amount that equals the subscription price plus a “flex allotment” top-up, which GitHub says it can adjust as model prices and infrastructure costs change. GitHub has also introduced Copilot Max at USD 100 (approx. RM460) per month, which includes USD 200 (approx. RM920) in credits, designed for high-volume, agentic workloads. Code completions and next edit suggestions remain included in all paid plans and do not consume credits, which protects light, autocomplete-focused usage from surprise costs.
Why Some Users Are Seeing 10x Copilot Cost Increases
Early reactions show that token-based billing can translate into a sharp Copilot cost increase for heavy users. Reports highlighted by PCMag describe developers whose estimated bills jump from USD 39 (approx. RM180) a month to almost USD 1,800 (approx. RM8,280) under per-token pricing, and some users say their entire monthly token budget vanished in less than half a workday. In GitHub’s own community forum, one user burned through 12% of their total AI credits on minor edits, estimating “~$0.35 per line updates,” while another saw their allowance drop from 7,000 credits to 3,705 after a single day. GitHub and Microsoft previously absorbed much of the inference cost behind long-running agentic sessions, but sources note that this subsidy was never sustainable. Now, the more code Copilot reads and writes on your behalf, the more you pay.
Enterprise Budgets, Pooled Credits, and New Controls
For business and enterprise customers, GitHub Copilot pricing still uses per-seat fees of USD 19 (approx. RM87) and USD 39 (approx. RM180) per user per month, but the mechanics have changed. Credits are now pooled at the organization level rather than assigned in fixed, per-user buckets, so power users can draw more while lighter users draw less. Through August, Business seats receive USD 30 (approx. RM138) in promotional credits and Enterprise seats receive USD 70 (approx. RM322). New budget controls let admins set a universal user-level cap, overrides for individual users, cost center budgets, and an enterprise-wide limit once pooled credits run out. User-level budgets always enforce a hard stop, limiting how much any one developer can consume from both the shared pool and any metered overage. Copilot code review now consumes both AI credits and GitHub Actions minutes, making cost visibility and governance more important for larger teams.
How Different Users Can Adapt to Token-Based Copilot Pricing
The impact of token-based billing depends heavily on how you use Copilot. Casual coders who mainly rely on inline completions may see little change, since completions and next edit suggestions do not consume credits. Power users who run long chats across many files, or trigger repository-wide agents, now need to pay closer attention to how many tokens these sessions consume. Some developers told PCMag they are experimenting with more focused prompts and shorter sessions to control spending, while others are considering switching tools. Annual Copilot subscribers remain on the old premium request system until their term ends, but model multipliers have increased, and they will eventually move to the AI Credits system. For both individuals and enterprises, the most practical response is to watch the new dashboards, test how typical workflows map to tokens, and adjust usage before bills arrive.