GitHub just announced the biggest pricing change since Copilot launched: starting June 1, 2026, every plan moves to usage-based billing powered by AI Credits. The flat-rate “unlimited premium requests” model is gone. Here’s exactly what’s changing, what it means for your workflow, and whether you should start looking at alternatives.
The Big Shift: From Flat Rate to Usage-Based
Until now, GitHub Copilot plans gave you a fixed number of “premium requests” per month. You either used them or you didn’t — no surprises on your bill. That model is ending.
Starting June 1, GitHub replaces premium requests with AI Credits — a token-based currency that tracks exactly how much AI compute you consume. Your monthly plan price stays the same, but instead of a request count, you get a dollar amount of credits to spend however you want.
The good news: basic code completions remain completely free. The potential catch: heavy users of Agent mode, Copilot Edits, and premium models could burn through their credits fast.
What’s Changing: Before vs After
| Before June 2026 | After June 2026 | |
|---|---|---|
| Billing unit | Premium requests (counted per interaction) | AI Credits (based on token consumption) |
| Pro ($10/mo) | Fixed number of premium requests | $10 in monthly AI Credits |
| Pro+ ($39/mo) | Higher premium request cap | $39 in monthly AI Credits |
| Business ($19/user/mo) | Per-user request limits | $19 in credits/user + promotional usage (June–Aug) |
| Enterprise ($39/user/mo) | Per-user request limits | $39 in credits/user + promotional usage (June–Aug) |
| Code completions | Unlimited (paid plans) | Still unlimited — no credits used |
| Overage | Hard cap or throttling | Buy additional credits at $0.01 each |
Plan prices haven’t changed. What changed is how the included value gets measured and consumed.
How AI Credits Work
The credit system is straightforward once you understand the mechanics:
- 1 AI Credit = $0.01 USD. Your Pro plan’s $10/month translates to 1,000 credits.
- Credits are consumed based on token usage — specifically input tokens, output tokens, and cached tokens for each interaction.
- Different AI models have different per-token costs. Using Claude Sonnet or GPT-4o costs more credits per interaction than the default model.
- Unused credits do not roll over. Each billing cycle resets your balance.
- If you run out, you can purchase additional credits or wait for the next cycle.
The token-based calculation means a short chat question costs far fewer credits than a long Agent mode session that processes thousands of lines of code. This is more granular than the old system, where every premium request counted the same regardless of complexity.
What’s Free vs What Costs Credits
This is the most important distinction for your day-to-day usage.
Still Free (No Credits Used)
- Code completions — The inline Tab suggestions that autocomplete as you type. Unlimited on all paid plans.
- Next Edit Suggestions — Predictive edits based on your recent changes. Also unlimited.
- These two features are what most developers use most often, so the majority of your Copilot experience stays the same.
Costs Credits
- Copilot Chat — Asking questions, generating code from descriptions, explaining errors.
- Copilot Edits — Multi-file editing from natural language instructions.
- Agent mode — Autonomous multi-step coding sessions (planning, editing, running commands).
- Agentic workflows — Copilot-driven pull request reviews, issue triage, and Actions debugging.
- Premium model selection — Choosing a non-default model (Claude Sonnet, GPT-4o, Gemini) increases per-interaction cost.
The pattern is clear: passive, lightweight features stay free. Active, compute-heavy AI features cost credits.
Impact on Individual Developers
For the casual user — someone who mostly relies on code completions and occasionally asks a chat question — almost nothing changes. Completions are still free, and $10 of credits covers a lot of chat interactions.
For the power user — someone who leans on Agent mode daily, uses Copilot Edits for large refactors, and prefers premium models — this could mean hitting your credit ceiling mid-month. A single complex Agent session can consume significant tokens.
Some rough math: at typical token rates, $10 in credits covers approximately 300-500 standard chat interactions or 50-100 Agent mode sessions (varies widely by complexity). If you’re using Agent mode 5+ times per day, the Pro plan may not be enough.
Pro+ at $39/month becomes the logical upgrade path. With $39 in credits and higher rate limits, it gives heavy users about 4x the headroom. For context, that’s the same price as Cursor Pro — see our GitHub Copilot pricing breakdown for a full comparison.
Impact on Teams and Organizations
For Business and Enterprise plans, the credit system introduces both flexibility and complexity.
The upside: credit pooling. Organizations can pool credits across users. If your team of 10 has a mix of heavy and light AI users, the light users’ unused credits can offset the heavy users’ overages. This is more efficient than the old per-user request caps.
Promotional included usage. GitHub is offering Business and Enterprise customers promotional credits for June through August 2026 — a three-month grace period to understand usage patterns before credits fully kick in. Use this window to audit your team’s consumption and right-size your plan.
Budget predictability takes a hit. Under the old model, cost was simple: user count × per-seat price. Now, overages are possible. Engineering managers will need to monitor credit consumption dashboards and potentially set per-user or per-team spending limits.
Recommendation for teams: Track usage closely during the June–August promotional period. Identify your top 10% of AI consumers and decide whether to upgrade them to Pro+ or set organizational credit policies.
Should You Switch to an Alternative?
The usage-based model is GitHub’s way of aligning cost with value — but if you were comfortable with the old flat-rate model, you might wonder whether competitors offer a better deal.
Cursor charges $20/month (Pro) with 500 fast requests, then falls back to slower models. It’s a purpose-built AI-first editor with arguably the best Agent mode in the market. If you’re already hitting Copilot’s credit limits, Cursor’s model might actually give you more predictable costs. See our Best Cursor Alternatives roundup for the full landscape.
Windsurf offers a similar AI-first editor approach at competitive pricing, with its own take on agentic coding.
Staying with Copilot makes sense if:
- You rely heavily on code completions (still free and excellent)
- You use JetBrains IDEs (Cursor/Windsurf don’t support them)
- GitHub platform integration (PR reviews, Actions, issues) is critical to your workflow
- Your usage fits within your plan’s included credits
Consider switching if:
- You’re a heavy Agent mode user and $10/month of credits isn’t enough
- You want a standalone AI-first editor rather than an extension
- Predictable flat-rate billing matters more to you than credit flexibility
Read our full GitHub Copilot Review for a deeper look at features beyond pricing.
Bottom Line
GitHub Copilot’s move to usage-based billing is a significant shift, but it’s not as dramatic as it sounds for most users. Code completions — the feature you use dozens of times per hour — stay completely free. The credit system only applies to chat, Edits, Agent mode, and premium models.
If you’re a typical developer who mainly uses completions and occasional chat, your experience won’t change. If you’re a power user who lives in Agent mode, budget for Pro+ or watch your credits carefully.
The three-month promotional period for Business and Enterprise customers is a smart move by GitHub — use it to understand your team’s real consumption before making any plan changes.
Looking for alternatives? Compare → GitHub Copilot vs Cursor