Kimi K2.7 Code points to cheaper coding agents
Moonshot released Kimi K2.7 Code as open source this week. Its scores rose from 50.9 to 62.0 on Kimi Code Bench v2, 48.3 to 53.6 on Program Bench, 26.7 to 35.1 on MLS Bench Lite, and 72.8 to 81.1 on MCP Mark Verified. The model stays in the same 1T MoE family, uses 32B , and supports a 256k context.
The more practical change is a 30% drop in use compared with K2.6. That matters for because they often need to inspect a problem, edit code, run tests, fail, and try again many times. The model still appears behind GPT-5.5 and Opus on coding benchmarks.
But in Moonshot’s MCP Mark Verified table, K2.7 scores 81.1 while Opus 4.8 scores 76.4, which suggests it may already be strong for coding tasks. A coming high-speed mode claims about 5 to 6 times faster output from the same model, which could make it useful for lowering the time and cost of repeated coding work rather than replacing the best everywhere.
Key points
- Kimi K2.7 Code was released as open source by Moonshot.
- Moonshot reports a 30% cut in use versus K2.6.
- Scores improved across several coding benchmarks, including MCP Mark Verified rising from 72.8 to 81.1.
- Moonshot’s table shows K2.7 ahead of Opus 4.8 on MCP Mark Verified, though vendor numbers need caution.
- A planned high-speed mode claims roughly 5 to 6 times faster output from the same model.