Kimi K2.7-Code

Moonshot AI llm

Coding-specialised finetune of K2.6 for end-to-end software engineering, cutting thinking-token usage by roughly 30%.

overall ⌄

—

nothing published

price · $/M tokens

0.95 / 4

in / out, as of 2026-07-25

to run it yourself ⌄

600 GB

minimum · 2.4 TB recommended

Benchmarks

What its maker published, and what anyone else measured. Every figure links the document it came from.

benchmark	published	measured
GPQA	—	89.6
HLE	—	32.8

Nothing is both cheaper and ranked as high. This model is on the value frontier — whatever you pay for it, you are paying for something.

↑ finetune Kimi K2.6