Moonshot launches Kimi K2.7 Code, its open-source coding model
Kimi K2.7 Code is out and open-sourced: a 1T-parameter MoE for agentic coding, with double-digit gains over K2.6 and tool use that edges past Opus 4.8.
•2 min read•Written by
Agents Directory@agentsdir
Moonshot AI released Kimi K2.7 Code on June 12, and open-sourced it. It's a coding-specialized member of the K2 line: a 1 trillion parameter Mixture-of-Experts model with 32 billion parameters active per token, a 256K context window, and a Modified MIT license. It's available today through the Kimi API and Kimi Code at $0.95 in / $4 out per million tokens, with the weights on HuggingFace. It is not on OpenRouter yet.
What's new over K2.6
From Moonshot's launch notes:
- Coding and agent gains: +21.8% on Kimi Code Bench v2, +11.0% on Program Bench, and +31.5% on MLS Bench Lite, all relative to Kimi K2.6.
- Less overthinking: about 30% lower reasoning-token usage than K2.6, so the same answers cost fewer tokens.
- Long-horizon coding: better instruction following and higher end-to-end task success on multi-step coding work.
- Coming soon: a 6x high-speed serving mode.
The launch benchmarks
Moonshot's reported numbers, against Kimi K2.6, GPT-5.5, and Claude Opus 4.8.
One result stands out: on MCP Mark Verified, a test of multi-step tool use, K2.7 Code posts 81.1 and edges past Claude Opus 4.8 at 76.4. GPT-5.5 still leads the coding rows. These are vendor numbers though, two of the six benchmarks are internal, and none are independently reproduced yet, so read them as a launch claim, not a verdict.
We will add K2.7 Code to our independent leaderboards once it reaches OpenRouter. Pricing, context window, and host availability live on the Kimi K2.7 Code model page.
Sources
- Moonshot AI launch announcement for the reported numbers and model details
- Kimi K2.7 Code model page for pricing, context window, and host availability