# Moonshot AI Releases Kimi K2.7-Code Open-Source Coding Model

> The new model from Moonshot AI offers efficiency improvements in coding tasks while being freely available under open licensing.

*Published 2026-06-13 · By Marcus Vance*

Kimi K2.7-Code is an open-source coding model released by Moonshot AI on June 12, 2026.

Moonshot AI announced the open-sourcing of Kimi K2.7-Code, which improves coding and agent performance over the prior K2.6 version.

The model is available today via Kimi API, Kimi Code, and model weights on Hugging Face under open licensing.

## What background information supports the Kimi K2.7-Code announcement?

The Kimi K2 series models employ a Mixture-of-Experts architecture.

This architecture features 1 trillion total parameters and 32 billion active parameters.

Moonshot AI has focused the K2.7-Code variant on coding and agent performance.

## What technical details characterize the Kimi K2.7-Code model?

Kimi K2.7-Code focuses on long-horizon coding tasks.

The model delivers improved instruction following and higher end-to-end success rates.

The Mixture-of-Experts design routes inputs to specific expert networks.

Only 32 billion parameters activate during inference to maintain efficiency.

## How does Kimi K2.7-Code perform relative to the K2.6 model?

Kimi K2 Model Performance ComparisonModel VersionKimi Code Bench v2 ImprovementReasoning Token UsageParameter CountK2.6BaselineBaseline1 trillion total, 32 billion activeK2.7-Code+21.8 percent30 percent lower1 trillion total, 32 billion active

## What efficiency gains does the new model demonstrate?

## Where can developers obtain Kimi K2.7-Code?

- Access via the Kimi API for programmatic use.
- Engage through the Kimi Code platform for coding workflows.
- Download the open weights from the Hugging Face repository for custom deployment.

## What market implications follow from the open-source availability?

The release makes Kimi K2.7-Code available today via Kimi API, Kimi Code, and model weights on Hugging Face under open licensing.

This availability positions open-weight models as serious contenders to closed frontier systems.

Open licensing enables developers to fine-tune the model for specific coding applications.

The reduced reasoning overhead supports more efficient agentic workflows in software development.

> Kimi-K2.7-Code, our latest coding model, is now released and open-sourced!Kimi.ai, Official account of Moonshot AI

## What comes next for the Kimi series after this release?

The open licensing allows broader experimentation with the model weights hosted on Hugging Face.

## Sources

1. [Kimi-K2.7-Code release and open-sourcing announcement with performance improvements](https://x.com/Kimi_Moonshot/status/2065377579130142937)
2. [Official weights and code release for Moonshot AI's latest coding model in the Kimi K2 series.](https://huggingface.co/moonshotai/Kimi-K2.7-Code)

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Source: https://aiintelreport.com/frontier-models/moonshot-ai-kimi-k2-7-code-release
Index: https://aiintelreport.com/llms.txt · Full text: https://aiintelreport.com/llms-full.txt