Your team's GitHub Copilot subscription costs the same as it did last month. The invoice line hasn't moved. But what that money now buys you has changed significantly — and if you have developers running long AI-assisted coding sessions, you could be in for a surprise on your next bill.
What Changed on June 1, 2026
On June 1, 2026, GitHub officially moved all Copilot plans to usage-based billing. The old system charged a flat fee for a fixed number of "premium requests" per month. The new system measures tokens — the small units of text that AI models read and generate — and bills against the published API rate for whichever model handled each interaction.
The currency is called GitHub AI Credits. One AI Credit equals $0.01 USD, and every plan now comes with a monthly allotment of these credits rather than a set number of requests. When those credits run out, usage either stops or you pay for additional consumption — depending on how your organisation has configured its policies.
Plan prices have not changed. Copilot Pro is still $10 a month, Pro+ is $39, Business is $19 per user, and Enterprise is $39 per user. A new Copilot Max tier at $100 a month also launched the same day, aimed at heavy agentic users. What changed is the volume of work those prices cover, and how that work is measured.
Why GitHub Made the Switch
The short answer: AI coding has grown far more intensive. Copilot began as a relatively simple in-editor assistant — you type a comment, it suggests a line of code. That kind of interaction is cheap to serve. But Copilot has evolved. Today it can act as an autonomous agent: crawling through a repository, reading dozens of files, writing and running tests, and iterating across an extended session. Each of those steps consumes tokens, and that consumption can be orders of magnitude larger than a single chat prompt.
GitHub called this shift the arrival of "cloud economics" for agentic software development. The previous flat-rate model, in other words, was becoming unsustainable as users discovered and adopted more powerful capabilities.
From a business perspective, the logic is understandable. What it means in practice, however, is that the cost of using Copilot is now directly tied to how you use it — not just whether you have an active subscription.
Understanding the Token Economy
The billing system works like this: when someone uses Copilot, the interaction consumes tokens — input tokens (what is sent to the model), output tokens (what the model generates), and cached tokens (context the model reuses). Each token is priced based on the model used, and the total is converted into AI credits.
That last point — "based on the model used" — is the key variable most teams miss. The model cost spread is wide: GPT-5.5 costs $5 per million input tokens and $30 per million output tokens, while MAI-Code-1-Flash costs $0.75 input and $4.50 output. That is roughly a 7x price difference for inputs and nearly a 7x difference for outputs. If your developers have their default model set to the most powerful option, they will consume credits far faster than if they are using a lighter model for routine tasks.
A quick chat question using a lightweight model might cost a fraction of a credit. A long coding agent session using a frontier model across multiple files will cost more, because it is doing more work. That distinction — a chat versus an agentic session — is now a financial one, not just a functional one.
What This Means for Your Business
If your team uses Copilot mainly for code completions
For teams whose use is primarily code completions, the experience is largely unchanged and the price is unchanged. Inline suggestions remain free under the new system. The risk of unexpected bills is low if your developers are not running extended autonomous agent sessions.
If your team uses Copilot for agentic workflows
This is where care is needed. On June 1, 2026, GitHub Copilot retired flat Premium Request Units for token-metered AI Credits — plan prices held, but included usage effectively shrank, and the safety-net fallback to cheaper models when quota runs out is gone. Teams running multi-step agent tasks — automated code reviews, repository-wide refactoring, or extended debugging sessions — should expect higher consumption than before.
For IT managers and finance teams
Developers who never look at billing dashboards may be surprised when a familiar workflow suddenly maps to a cost centre. The experience of using Copilot feels the same. The accounting model underneath has changed completely. This means organisations need spend visibility they may not currently have.
GitHub has provided a billing dashboard so admins can monitor projected costs. When pooled AI credits are exhausted, additional usage is either charged at published per-credit rates or blocked until the next billing cycle — depending on how you have configured your policies. Setting that policy deliberately, rather than leaving it at the default, is now a material financial decision.
For companies in the Arab region and broader MENA market that have adopted GitHub Copilot as part of software engineering teams, the implications are the same as anywhere else: existing subscriptions carry forward at the same price, but consumption patterns that worked within the old flat-rate model need to be reviewed against the new token economics.
Practical Takeaway
Do three things before your next billing cycle closes:
- Check your Copilot billing dashboard. GitHub added a projected-cost preview in May. Use it. Understand which users or teams are consuming the most credits and with which models.
- Set explicit budget policies. Decide whether additional usage beyond your monthly allotment should be allowed or blocked, and configure that in your enterprise or organisation settings. Leaving this on the default is not a neutral choice.
- Match the model to the task. The right model for the job matters more financially now. Lightweight models are appropriate for most routine tasks; reserve frontier models for work that genuinely benefits from them. A simple policy — communicated to developers — can meaningfully reduce your monthly credit spend.
Usage-based pricing for AI tools is not going away. GitHub Copilot is the largest and most widely deployed AI coding tool in the world, and its shift to metered billing signals the direction the entire category is heading. Getting comfortable with monitoring and managing AI consumption now is preparation for every similar tool your organisation adopts next.