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GitHub Copilot to Switch to Pay-as-You-Go in June, Keeps Monthly Base Fee, Adds AI Credits
On April 28, 2026, Microsoft's GitHub platform announced that GitHub Copilot, its AI coding tool, will shift from a fixed subscription to a usage-based billing model starting June 1. This change introduces a new credit system called "GitHub AI Credits," designed to meet the rising computing power demands from Copilot's transformation from a single assistant into a multi-step autonomous coding platform.

Under the new rules, the previous "Premium Request Unit" (PRU) counting method for GitHub Copilot is eliminated. Base subscription prices remain unchanged, but each plan now includes a monthly allocation of equivalent AI Credits: Copilot Pro ($10/month), Pro+ ($39/month), Business ($19/person/month), and Enterprise ($39/person/month) each receive corresponding credit values. Usage is billed based on token consumption (including input, output, and cache) according to the model's public API rates. Notably, basic code completion and Next Edit suggestions still don't consume credits.
For enterprise customers, the new model introduces a more flexible "organization shared credit pool," where unused credits from light users can offset heavy users' consumption. Administrators can set budget limits at different levels. To ensure a smooth transition, GitHub will offer enterprise users an additional promotional credit allowance of $30–$70 for three months. For existing annual subscribers, the original terms remain in effect until the end of their subscription period. However, starting June 1, the model multiplier will significantly increase, and after expiration, they'll need to switch to a monthly pay-as-you-go model.
This billing shift reflects the AI industry's inevitable move from "all-in-one" monthly packages to "precision pricing." By adopting a usage-based billing model, GitHub aims to maintain long-term service reliability while overcoming credit limits in heavy usage scenarios, offering commercial support for developers to access higher-performance large-scale models.
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So they're finally moving to pay-as-you-go? Honestly, I'm mixed about this. Fixed subscriptions were simple but sometimes you pay for nothing if you don't use it much. Credits might be fairer for occasional users like me, but I worry about hidden costs when you hit a complex refactor and suddenly burn through credits. Also, calling it "GitHub AI Credit" sounds like a crypto scam 😂. Let's see if it actually saves money or just becomes another way to nickel-and-dime devs.
On April 28, 2026, Microsoft's

Under the new rules, the previous "Premium Request Unit" (PRU) counting method for
For enterprise customers, the new model introduces a more flexible "organization shared credit pool," where unused credits from light users can offset heavy users' consumption. Administrators can set budget limits at different levels. To ensure a smooth transition,
This billing shift reflects the AI industry's inevitable move from "all-in-one" monthly packages to "precision pricing." By adopting a usage-based billing model,
SK Hynix Taobao Flagship Store Closes; Warranty Status for Purchased Memory Remains Unclear
On August 24, news emerged that the SK Hynix flagship store on Taobao and Tmall abruptly announced its closure, sparking consumer concerns regarding after-sales warranty coverage for memory products. The store’s homepage indicated an independent shut
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Novo Nordisk is expanding its computing and AI capabilities. Credit: Getty ImagesNovo Nordisk deepens its AWS AI partnership to modernize R&D, as AWS CEO Matt Garman emphasizes the goal of delivering effective treatments to patients more quickly.Novo
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So they're finally moving to pay-as-you-go? Honestly, I'm mixed about this. Fixed subscriptions were simple but sometimes you pay for nothing if you don't use it much. Credits might be fairer for occasional users like me, but I worry about hidden costs when you hit a complex refactor and suddenly burn through credits. Also, calling it "GitHub AI Credit" sounds like a crypto scam 😂. Let's see if it actually saves money or just becomes another way to nickel-and-dime devs.











