GitHub incident

Grok 4.6 and Grok 4.7 Service Issues

Resolved after 41 minutes, affecting Copilot AI Model Providers, on October 23, 2026.

resolved Oct 24, 2026, 12:23 AM UTC

Between 23:28 and 00:23 UTC on October 27, 2026, GitHub Copilot experienced degradation affecting Grok 4.6 and Grok 4.7 models. Users encountered elevated error rates when using these models. The degradation was caused by an issue with an upstream model provider. GitHub engineers detected the issue through automated monitoring and coordinated with the provider. Our automated model-warning system activated in-product warnings for affected models during the incident. Service returned to normal after the provider implemented a mitigation.

Started
Oct 23, 2026, 11:41 PM UTC
Resolved
Oct 24, 2026, 12:23 AM UTC
Duration
41m
Detected by Pingoru
Oct 23, 2026, 11:41 PM UTC

Affected components

Copilot AI Model Providers

Update timeline

  1. investigating Oct 23, 2026, 11:41 PM UTC

    We are investigating reports of degraded performance for Copilot AI Model Providers

  2. investigating Oct 23, 2026, 11:42 PM UTC

    We are experiencing degraded availability for the Grok 4.6 and Grok 4.7 models in Copilot products and IDE surfaces. This is due to an issue with an upstream model provider. While we work with them to resolve the issue, we recommend choosing another model or selecting 'Auto' to continue using Copilot.

  3. monitoring Oct 24, 2026, 12:23 AM UTC

    The degradation affecting Copilot AI Model Providers has been mitigated. We are monitoring to ensure stability.

  4. resolved Oct 24, 2026, 12:23 AM UTC

    Between 23:28 and 00:23 UTC on October 27, 2026, GitHub Copilot experienced degradation affecting Grok 4.6 and Grok 4.7 models. Users encountered elevated error rates when using these models. The degradation was caused by an issue with an upstream model provider. GitHub engineers detected the issue through automated monitoring and coordinated with the provider. Our automated model-warning system activated in-product warnings for affected models during the incident. Service returned to normal after the provider implemented a mitigation.

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