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GitHub to Deprecate Older AI Models from Copilot on February 17

GitHub announced it will remove select Claude, Google, and OpenAI models from Copilot, requiring enterprise admins to update model policies before the deadline.

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GitHub has announced the deprecation of select AI models from Claude, Google, and OpenAI across all GitHub Copilot experiences. The changes will take effect on February 17, 2026, and enterprise administrators should prepare to update their model policies.

What's Changing

The deprecation affects older model versions across multiple Copilot features:

  • Copilot Chat: Conversational coding assistance
  • Inline edits: Code modification suggestions
  • Ask and agent modes: Complex task handling
  • Code completions: Real-time suggestion generation

GitHub has not disclosed the specific model versions being deprecated, but the change aligns with the general industry practice of retiring older AI models as newer versions become available.

Why GitHub Is Making This Change

The deprecation reflects the rapid pace of AI model development. Newer models offer:

  • Improved code understanding and generation accuracy
  • Better performance on complex, multi-file tasks
  • Enhanced reasoning capabilities for debugging
  • More efficient token usage and faster response times

Impact on Enterprise Users

Copilot Enterprise administrators may need to take action before the February 17 deadline:

  1. Review current model policies in Copilot settings
  2. Identify any workflows dependent on deprecated models
  3. Enable access to alternative models through policy updates
  4. Communicate changes to development teams

Claude Sonnet 4 as Default

As part of Copilot's evolution, GitHub has indicated that Claude Sonnet 4 will power new agentic coding features. The model excels at sustained performance on complex, long-running tasks and agent workflows, making it well-suited for Copilot's expanding capabilities.

Preparing for the Transition

GitHub recommends that teams begin testing with the newer available models before the deprecation date. Most users should experience improved performance, but edge cases may require workflow adjustments. Enterprise support is available for organizations needing migration assistance.

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