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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を試す プランを見る
790,000+人のユーザーに信頼されています

262.144K tokens

コンテキスト

131,072 tokens

最大出力

普通

速度

こんな用途に最適

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について

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の使い方

ゼロから最初の結果まで、1分もかかりません。

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

より良い結果を得るためのヒント

  • 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と他のモデルを比較

正直な比較 — {model}が優れている点と、そうでない点。

Kimi K3と比較

モデルを見る

+Tuned for code and long agent runs, and cheaper

–K3 is the stronger generalist for non-coding work

GPT-5.3 Codexと比較

モデルを見る

+Open weights and a lower price per token

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

GLM 5.2と比較

モデルを見る

+More token-efficient over long coding sessions

–GLM 5.2 is broader across systems design

よくある質問

チャット以外も — 画像・動画生成

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A real FLUX Pro Ultra outputA real Google Imagen 4 outputA real Seedream output
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Kimi K2.7 Code、そしてさらに50以上。

1つのサブスクリプションでNinjaChatのすべてのモデルが使えます。Kimi K2.7 Codeも含まれます。

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他のモデルも見る

Kimi K3

ネイティブ視覚認識と100万トークンコンテキストを備えたMoonshot最新のオープンウェイト旗艦モデル

→

GPT-5.3 Codex

OpenAI's agentic coding model for real software work

→

GLM 5.2

コーディング・エージェント・システム設計に強いZ.aiのフラッグシップ

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