Models & Labs
Kimi K2.7 Code Now Available in GitHub Copilot
GitHub Changeloghigh confidence
Why it matters
- →Provides developers with more choice in selecting AI models for coding workflows.
- →Offers a potentially lower-cost option compared to existing models.
- →Expands the flexibility and accessibility of GitHub Copilot for various user plans.
GitHub has made the Kimi K2.7 Code model generally available in GitHub Copilot, marking the first open-weight model option in the platform's model picker. Hosted on Microsoft Azure, this model is available under usage-based billing and is initially rolling out to Copilot Pro, Pro+, and Max plans. Users can select the model in Visual Studio Code and other platforms, with plans to expand to Copilot Business and Enterprise. This development offers developers more choice and potentially lower costs in their coding workflows.
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Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1GitHub Copilot App Now Supports Any Model Provider
Matt Wolfe · June 10, 2026 · Same story
- 2
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This release quietly cements llama.cpp as the universal inference runtime by finally supporting NVIDIA's latest CUDA 13 stack alongside AMD's ROCm 10.0. The inclusion of native builds for Linux arm64 with Snapdragon chips, covering CPU, Adreno GPU, and Hexagon NPU, signals a serious push into mobile edge deployment. While Apple Silicon KleidiAI is disabled in this specific build, the broader hardware coverage means developers no longer need to compile from source for most modern accelerators. It’s less about new features and more about removing friction for anyone running local models on bleeding-edge or diverse hardware.
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