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Moonshot

Chat with Kimi K2.7 Code online

Moonshot's coding specialist — a trillion parameters pointed at agents that work across files, tools and the terminal.

Kimi K2.7 Code 사용해 보기 요금제 보기
790,000+명의 사용자가 신뢰합니다

262.144K tokens

컨텍스트

131,072 tokens

최대 출력

보통

속도

이럴 때 활용하세요

Agentic coding

Long runs across files, tools and terminal commands.

Large refactors

Multi-file changes that stay consistent to the end.

Debugging from evidence

Reads real error output and forms a hypothesis first.

Screenshot in, fix out

Paste a broken render and describe the fix.

Prompts to steal

Tuned to this model — click any line to copy.

Kimi K2.7 Code 소개

Kimi K2.7 Code is the coding specialist in Moonshot AI's Kimi line, released on 12 June 2026. Where Kimi K3 is the generalist you ask about anything, K2.7 Code is the one pointed at software: a one-trillion-parameter mixture-of-experts model with about 32 billion parameters active per token, built for agents that operate across files, tools and terminal commands over an extended session rather than answering a single question.

Two things define it. The first is scope: a 262,144-token context window, which is enough to hold a substantial slice of a real codebase — several files, the configuration, the docs and a long agent transcript — without chunking tricks or aggressive summarisation. The second is restraint. Moonshot reports that K2.7 Code cuts reasoning token usage by roughly 30% against K2.6 while scoring about 21.8% higher on the lab's own Kimi Code Bench v2, which is the unusual combination of thinking less and getting more right.

Thinking is always on, so the model reasons before each response and each tool call rather than waiting to be asked. In practice that shows up as fewer wrong turns in the middle of a long refactor: it reads the error, forms a hypothesis, and checks it, instead of guessing and rerunning. It takes images as input too, so a screenshot of a broken render or a failing dashboard can go straight into the conversation.

The weights are open under a Modified MIT licence, which matters if you care about being able to self-host later or audit what you are building on. On NinjaChat it is included in every plan: pick it from the model list and keep a whole engineering task in one thread.

Kimi K2.7 Code 사용 방법

1분 안에 첫 결과물까지.

01

Create a NinjaChat account and choose a plan

02

Open chat and pick Kimi K2.7 Code from the model list

03

Give it the files, the error output and the goal

04

Keep the whole task in one thread so its reasoning carries across turns

더 나은 결과를 위한 팁

  • Paste stack traces verbatim; it debugs from evidence
  • Say which files it may change and which it may not
  • Ask for a plan before a big refactor, then let it execute
  • Switch to Kimi K3 when the question is not about code

Kimi K2.7 Code vs 다른 대안들

{model}이 앞서는 부분과 그렇지 않은 부분, 솔직하게 비교합니다.

vs Kimi K3

모델 보기

+Tuned for code and long agent runs, and cheaper

–K3 is the stronger generalist for non-coding work

vs GPT-5.3 Codex

모델 보기

+Open weights and a lower price per token

–Codex has OpenAI's tooling and reasoning-effort controls

vs GLM 5.2

모델 보기

+More token-efficient over long coding sessions

–GLM 5.2 is broader across systems design

자주 묻는 질문

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A real FLUX Pro Ultra outputA real Google Imagen 4 outputA real Seedream output
전체 모델 보기 →

Kimi K2.7 Code, 그리고 50개의 모델 더.

구독 하나로 NinjaChat의 모든 모델을 이용할 수 있습니다. Kimi K2.7 Code도 포함됩니다.

시작하기요금제 비교
Download on the App Store

더 많은 모델 둘러보기

Kimi K3

네이티브 비전과 100만 컨텍스트를 갖춘 Moonshot의 최신 오픈 웨이트 플래그십

→

GPT-5.3 Codex

OpenAI's agentic coding model for real software work

→

GLM 5.2

코딩, 에이전트, 시스템 설계를 위한 Z.ai의 플래그십 모델

→
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