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Kimi K2.7 Code is generally available in GitHub Copilot

Kimi K2.7 Code is generally available in GitHub Copilot - GitHub Changelog

github.blog

July 2, 2026

2 min read

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58/100

Summary

Kimi K2.7 Code is now generally available in GitHub Copilot as the first open-weight model in the model picker. This model is hosted on Microsoft Azure and billed at provider list pricing under usage-based billing.

Key Takeaways

  • Kimi K2.7 Code is now generally available in GitHub Copilot as the first open-weight model offered in the model picker.
  • The model is hosted by GitHub on Microsoft Azure and is billed under usage-based pricing.
  • Kimi K2.7 Code is rolling out to Copilot Pro, Pro+, and Max plans, with plans for expansion to Business and Enterprise versions in the coming weeks.
  • Administrators of Copilot Business and Enterprise must enable the Kimi K2.7 Code policy for their organization to access the model.
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Community Sentiment

Negative

Positives

  • The Kimi K2.7 model demonstrates impressive cost efficiency, with low token usage for complex tasks, making it an attractive option for developers seeking budget-friendly AI solutions.
  • Users report that Claude Code and Codex provide superior performance and value compared to GitHub Copilot, highlighting a shift towards more effective AI tools in the developer community.
  • The ability to juggle various AI models seamlessly in Copilot CLI is praised, indicating a preference for flexible and logical workflows in enterprise settings.

Concerns

  • The recent pricing changes for GitHub Copilot have frustrated many users, leading them to abandon the platform in favor of alternatives like Claude Code, which offer better value.
  • Concerns about the effectiveness of GitHub Copilot compared to competitors suggest that users feel the quality of results has diminished, impacting its reputation in the market.
  • Many developers express fatigue with cloud-based AI products due to rising costs and feature changes, indicating a potential backlash against subscription-based models.

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