Summary
Starting June 1, 2026, GitHub Copilot will change how it bills its users. Instead of paying a flat monthly fee for a set number of requests, users will be charged based on the number of "tokens" they use. This shift means that the cost of using the AI tool will now depend on the complexity and length of the tasks performed. This change is designed to match the pricing models used by other major AI companies in the industry.
Main Impact
The move to a per-token system marks a major shift for developers and companies who rely on GitHub Copilot. Previously, a simple question and a complex coding project both counted as a single "premium request." Now, the amount of data the AI processes will determine the cost. This means that large-scale projects or complex debugging tasks will become more expensive, while very simple queries might remain affordable. It forces users to be much more careful about how they interact with the AI to avoid unexpected costs.
Key Details
What Happened
GitHub is moving away from its traditional subscription model. In the past, users paid a monthly fee and received a specific number of requests. Under the new system, every piece of text sent to the AI and every piece of code generated by the AI will be measured. GitHub is introducing "AI Credits" to manage this. Users will receive a set amount of credits with their monthly subscription, and these credits will be spent as they use the service.
Important Numbers and Facts
The base tier for GitHub Copilot Pro will stay at $10 per month. However, instead of a request limit, this $10 will provide 1,000 AI Credits. Currently, GitHub values one AI Credit at one US cent. A "token" is roughly equal to three-quarters of a word. For example, if a developer asks the AI to check 10,000 words of code, that task would use about 12,000 to 13,000 tokens. These tokens are deducted from the user's monthly credit balance.
It is important to note that not everything will cost money. GitHub has confirmed that basic code completions—similar to the auto-complete feature on a smartphone—and "Next Edit" suggestions will remain free for all users. The cost only applies to more significant queries and interactions with the large language models.
Background and Context
To understand this change, it helps to know what a token is. AI models do not read words the same way humans do. They break text down into smaller pieces called tokens. Because processing these tokens requires a lot of computer power and electricity, AI companies find it more accurate to charge based on the number of tokens used rather than the number of questions asked.
Microsoft, which owns GitHub, has been paying for much of the extra cost of running these AI models until now. By switching to this new model, they are bringing GitHub in line with how other companies like OpenAI and Anthropic charge their business customers. This ensures that the people using the most resources are the ones paying the most.
Public or Industry Reaction
The industry is already seeing the effects of token-based pricing. For example, the ride-sharing company Uber recently reported that it had already spent its entire 2026 AI budget because of how much its developers use these tools. Uber noted that about 11% of its code updates are now written by AI agents. This shows that while AI can make workers more efficient, the costs can grow very quickly if they are not monitored closely.
Some experts worry that this new pricing will stop people from experimenting with the AI. When every question has a specific price tag, developers might hesitate to try new things or test the AI's limits. This could slow down how quickly people learn to use these new tools effectively.
What This Means Going Forward
In the future, companies will need to keep a close eye on their "AI spend." Just as businesses track their electricity or water usage, they will now need to track their token usage. For individual developers, it means learning to write better, more concise prompts to save money. If a query is too long or if the AI provides a very long answer, the cost will go up.
We may also see a rise in "AI budget managers" or software tools designed specifically to help companies control their AI costs. As AI becomes a bigger part of how work gets done, managing the price of that AI will become a standard part of business operations.
Final Take
The era of flat-rate AI assistance is coming to an end. While the new system is more complex, it reflects the real-world costs of running powerful AI models. Users who perform simple tasks may not notice much of a difference, but those using AI for heavy coding and complex automation will need to start counting their tokens carefully.
Frequently Asked Questions
What is a token in AI?
A token is a small unit of text that an AI uses to process information. On average, 1,000 tokens are equal to about 750 words. Both the words you type in and the words the AI writes back count as tokens.
Will I have to pay for every single suggestion?
No. Basic features like code completion and Next Edit suggestions will remain free. You will only use your AI Credits for more complex requests and chat-based queries.
How much does an AI Credit cost?
Currently, GitHub values one AI Credit at one US cent. A standard $10 monthly subscription will give you 1,000 credits to use throughout the month.
