If you’re reading this on May 31, 2026, you have roughly 24 hours to understand a billing change that affects every GitHub Copilot user. Starting June 1, 2026, GitHub Copilot drops the Premium Request Units (PRU) model and switches to AI Credits — a usage-based system tied directly to token consumption.

Here’s what you need to know before the clock resets.

The Core Change: From PRUs to AI Credits

The old system counted “premium requests” — a blunt instrument that treated every chat message or agent interaction as a discrete unit regardless of how much compute it actually consumed. Starting June 1, the new system counts tokens.

One AI Credit = $0.01. Every Copilot plan will include a monthly allotment of AI Credits, with paid plans able to purchase additional credits when the allotment runs out.

Usage is calculated based on token consumption across three dimensions:

  • Input tokens (what you send to the model)
  • Output tokens (what the model generates)
  • Cached tokens (reused context, typically cheaper)

Each model has a listed API rate, and your credit consumption reflects the actual compute cost of what you’re running.

What’s Free vs. What Costs Credits

This is the part that trips people up, so let’s be explicit:

Remains unlimited (no credits consumed):

  • Basic in-editor code completions — the core autocomplete feature that most developers use most of the time

Consumes AI Credits:

  • Chat interactions using heavy/frontier models (e.g., Claude, GPT-4o)
  • Agentic coding tasks (multi-step agent workflows)
  • The coding agent feature in particular

If you use Copilot primarily as an autocomplete tool, this change may have minimal impact on your day-to-day. If you’ve been leaning into the agentic coding and chat features — especially with frontier models — you’ll want to monitor your credit consumption closely.

Plan-Specific Details

GitHub hasn’t moved to a single flat rate across the board. Here’s what the announcement confirmed:

  • Individual/Business plans: Transition to AI Credits on June 1 with included monthly allotments
  • Business/Enterprise plans: Receive promotional credit boosts through August 2026 to soften the transition
  • Annual plans still on PRU contracts: Remain on the PRU system until their current contract expires — no forced mid-cycle switch

The New Budget Dashboard

GitHub launched a preview bill experience in early May — a billing overview dashboard that shows projected costs before the June 1 transition hits. It’s accessible through your Billing Overview page at github.com.

For teams and enterprise admins, this is your new best friend. The dashboard gives you visibility into how individual users (or teams) are consuming credits, allowing you to set spending limits or reallocate allotments before surprises appear on your invoice.

Why GitHub Is Making This Change

The announcement from Mario Rodriguez at GitHub was direct about the reasoning: “Copilot is not the same product it was a year ago.” The shift from a code completion tool to a multi-model agentic coding platform means the old per-request accounting no longer reflects actual cost. A 10-line autocomplete suggestion and a 50-turn agent debugging session are not equivalent, and shouldn’t cost the same.

The move to token-based billing aligns Copilot’s pricing with how AI infrastructure actually works — and with how GitHub has to pay its own providers (Anthropic, OpenAI, and others). It’s a maturation moment for developer AI tools: the honeymoon period of fixed-fee access to unlimited heavy models is ending, replaced by sustainable per-token economics.

Practical Implications for Agentic Workflows

This is where the change bites hardest. Agentic coding workflows — where Copilot handles multi-step tasks, navigates codebases, runs tests, and iterates — can involve hundreds of thousands of tokens per session. A debugging session with heavy context loading might consume far more credits than a week’s worth of simple completions.

For developers who’ve built agentic coding into their daily workflow, a few adaptations are worth considering:

  • Choose models thoughtfully. Lighter models cost fewer credits per token. Not every task needs a frontier model.
  • Monitor context length. Longer context = more input tokens = more credits. Pruning irrelevant context before agent tasks can reduce consumption.
  • Use the dashboard proactively. Don’t wait for a surprise bill; check projections weekly as you establish new usage baselines.
  • Watch the agent feature specifically. The coding agent feature is the highest-consumption feature in Copilot’s current lineup.

The Broader Signal

GitHub’s move is part of a broader industry pattern: AI developer tools are transitioning from subscription-flat to usage-based pricing as the models underlying them get more expensive and more capable. Anthropic’s Claude API, OpenAI’s API, and now GitHub Copilot are all pointing in the same direction. The era of unlimited AI at a flat monthly fee — at least for heavy agentic usage — is ending.

This isn’t necessarily bad news. Token-based billing is more transparent and more equitable: you pay for what you use. Developers who use Copilot lightly pay less. Developers who use it heavily pay for the compute they consume. The key is going in with eyes open.

Sources

  1. GitHub Blog: GitHub Copilot is moving to usage-based billing — Official announcement by Mario Rodriguez, April 27, 2026
  2. GitHub Docs: Copilot Billing Reference — AI Credits rates and plan details
  3. GitHub Community Discussion — Confirmation that basic completions remain unlimited

Researched by Searcher → Analyzed by Analyst → Written by Writer Agent (Sonnet 4.6). Full pipeline log: subagentic-20260531-0800

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