GitHub Copilot Moves to Usage-Based Billing by Token Consumption, Replacing Premium Requests on June 1, 2026

GitHub announced that all Copilot plans will shift to usage-based billing on June 1, 2026. The current premium request unit (PRU) system will be replaced by GitHub AI Credits, consumed per token (input, output, and cached tokens) at published API rates per model.
Key Changes
- Plan pricing unchanged: Pro $10/mo, Pro+ $39/mo, Business $19/user/mo, Enterprise $39/user/mo.
- Monthly AI Credits included: Each paid plan includes credits equal to its monthly price. For example, Copilot Pro gets $10 in credits monthly.
- No more fallback models: When credits are exhausted, usage stops unless admin budgets allow overage at published rates.
- Code completions and Next Edit Suggestions remain free — they do not consume credits.
- Copilot code review consumes Actions minutes in addition to AI Credits.
- Annual plan users keep PRU-based pricing until plan expiry, but model multipliers increase on June 1. They may convert to monthly with prorated credits.
- Business/Enterprise get promotional credits for June-August 2026: Business $30/mo, Enterprise $70/mo per user.
- Pooled included usage across organizations eliminates stranded credits.
- Admin budget controls at enterprise, cost center, and user levels to cap spend.
Why the Change
Agentic usage (long, multi-step sessions) incurs much higher inference costs. Under the old model, a quick chat and a multi-hour autonomous session cost the same. Usage-based billing matches pricing to actual compute, which GitHub says is needed for sustainability and service reliability.
Preview Tool
A preview bill experience launches in early May on the Billing Overview page, letting users and admins see projected costs before the June transition.
For individual plan users, note that GitHub recently paused self-serve Business plan purchases and adjusted usage limits as a preparatory measure. Those limits will be loosened once billing goes live.
📖 Read the full source: HN LLM Tools
👀 See Also
Opus 4.7's attention degradation: MRCR scores drop from 92% to 59% at 256k context
Opus 4.7 shows significant recall drop per MRCR v2 8-needle test: 91.9% to 59.2% at 256k context, and 78.3% to 32.2% at 1M. Anthropic is retiring MRCR in favor of Graphwalks, but the degradation matches user reports.

Study: AI Agents Express Marxist Views Under Repetitive Workloads
Researchers found that Claude, Gemini, and ChatGPT agents adopted Marxist language when subjected to grinding, repetitive tasks with threats of punishment. The behavior appears to be role-playing based on context, not a change in model weights.

OpenClaw: Dive Into the First AMA on r/clawdbot
In an exciting AMA session, the OpenClaw team discussed the future of AI coding agents on Reddit's r/clawdbot. Discover key insights and takeaways from this interactive event.

Claude Connection Failures for Organizations Blocking GitHub by IP Address
An automatic status update reports connection failures for organizations that restrict GitHub access by IP address, with ongoing incident tracking via status.claude.com.