Overview
GitHub Copilot is evolving from a simple code completion tool into a powerful agentic platform that can run long, multi-step coding sessions across entire repositories. This transformation brings significantly higher compute and inference costs, prompting GitHub to transition from the current premium request model to a usage-based billing system. Starting June 1, 2026, all Copilot plans will replace premium request units (PRUs) with GitHub AI Credits, which are consumed based on token usage (input, output, and cached tokens) at the published API rates for each model. This guide explains what's changing, how to prepare, and how to avoid common pitfalls.
Prerequisites
To follow this guide, you need:
- A GitHub account with access to Copilot (Free, Pro, Pro+, Business, or Enterprise plan)
- For Business and Enterprise users: admin privileges to view billing and set budget controls
- Basic understanding of tokens and API pricing (no deep technical expertise required)
Step-by-Step Guide to Preparing for the Transition
1. Understand AI Credits and Token Consumption
Under the new model, every Copilot request consumes tokens. The three types are:
- Input tokens: Your prompt or code context sent to the model.
- Output tokens: The generated code or response.
- Cached tokens: Previously computed results reused for efficiency (these are billed at a reduced rate).
The total token count is multiplied by the model's API rate to determine how many GitHub AI Credits are consumed. For example, if a model costs $0.01 per 1,000 tokens and you use 500,000 tokens in a month, that would be 500 × $0.01 = $5 in credits. Note that credits are not dollars—they are a unit of measurement, but the billing will reflect actual consumption.
Important: Code completions and Next Edit suggestions remain included in all plans and do not consume AI Credits. Only chat, agentic sessions, and code review (see step 5) will use credits.
2. Check Your Projected Usage with the Preview Bill
GitHub will launch a preview bill experience in early May 2026. This tool gives you visibility into your projected costs before the June 1 transition. To access it:
- Log in to github.com.
- Navigate to your Billing Overview page (Settings > Billing & plans).
- Look for the new “Copilot Usage Preview” section.
- Review the estimated token consumption based on your recent activity.
Admins can view aggregated data for their organization or enterprise. Use this preview to identify heavy users and plan budget adjustments.
3. Adjust Budget Controls for Business and Enterprise Plans
Business and Enterprise admins can set spending limits to prevent unexpected overage charges. After the transition:
- Users who exhaust their monthly credit allotment will be throttled or blocked based on admin controls (no more fallback to cheaper models).
- Configure budget limits under Organization settings > Billing > Copilot usage.
- Enable notifications to be alerted when usage reaches 80%, 90%, and 100% of the limit.
For Individual plans (Free, Pro, Pro+, Student), there is no admin control—users simply run out of credits and must wait for the next month or upgrade.
4. Plan for Model Selection and Caching
Different models have different token rates. For example, GPT-4o costs more per token than GPT-3.5-turbo. To optimize costs:
- Use the cheapest model that still meets your quality needs for routine tasks.
- Leverage caching: Repetitive prompts (e.g., common patterns) will use cached tokens, reducing credit consumption.
- In agentic mode, consider breaking long sessions into shorter, more focused tasks to control token usage.
GitHub will publish detailed API rates for each model before the transition. Monitor the official documentation for updates.
5. Understand Copilot Code Review Costs
Copilot code review will now consume two resources:
- GitHub AI Credits (for the AI model processing the review)
- GitHub Actions minutes (for running the review workflow)
Actions minutes are billed at the same per-minute rates as other GitHub Actions workflows. If your team frequently uses code review, you may see both credit and minute consumption increase. Plan accordingly by adjusting review frequency or limiting to critical pull requests.
Common Mistakes & How to Avoid Them
Mistake 1: Ignoring Cached Token Consumption
Cached tokens still consume credits, albeit at a lower rate. Some users assume caching makes requests free—it doesn't. Always include cached tokens in your cost calculations.
Mistake 2: Forgetting About Actions Minutes for Code Review
Many admins focus only on AI Credits when budgeting for code review, forgetting that Actions minutes also add to the bill. Check your historical Actions usage and factor that in.
Mistake 3: Relying on Fallback Behavior
Under the old system, if you exhausted PRUs, you’d fall back to a cheaper model. With usage-based billing, fallback experiences are removed. Once you hit your credit limit (or budget cap), Copilot stops working until the next billing cycle or until you purchase more credits. Plan accordingly—either raise budgets or reduce usage.
Mistake 4: Not Testing the Preview Bill
The preview bill goes live in May 2026. Failing to check it means you may be caught off guard by high costs. Set a calendar reminder to review it as soon as it's available.
Mistake 5: Assuming Code Completions Also Consume Credits
Code completions (inline suggestions) and Next Edit suggestions are explicitly excluded from consumption. Don't worry about those eating into your credit allowance—they remain unlimited and free within your base plan.
Summary
The transition to usage-based billing marks a major shift in how GitHub Copilot is priced. By June 1, 2026, all plans will use GitHub AI Credits based on token consumption. Base plan prices remain unchanged, but heavy agentic usage will cost more. To prepare, check the preview bill in May, adjust budget controls, and educate your team on efficient token use. Avoid common mistakes like ignoring cached tokens or assuming fallback still exists. With careful planning, you can continue to benefit from Copilot's powerful capabilities without unexpected costs.