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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 ausprobieren Tarife ansehen
Vertraut von 790,000+ Nutzern

262.144K tokens

Kontext

131,072 tokens

Max. Ausgabe

Mittel

Geschwindigkeit

Wofür du es nutzen wirst

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.

Über Kimi K2.7 Code

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.

So nutzen Sie Kimi K2.7 Code

Von null zum ersten Ergebnis in unter einer Minute.

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

Tipps für bessere Ergebnisse

  • 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. die Alternativen

Ehrliche Vergleiche – wo {model} überzeugt und wo nicht.

vs. Kimi K3

Modell ansehen

+Tuned for code and long agent runs, and cheaper

–K3 is the stronger generalist for non-coding work

vs. GPT-5.3 Codex

Modell ansehen

+Open weights and a lower price per token

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

vs. GLM 5.2

Modell ansehen

+More token-efficient over long coding sessions

–GLM 5.2 is broader across systems design

Häufig gestellte Fragen

Mehr als Chat – Bilder & Video

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Kimi K2.7 Code — und 50 weitere.

Ein Abo deckt jedes Modell auf NinjaChat ab, Kimi K2.7 Code inklusive.

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Weitere Modelle entdecken

Kimi K3

Moonshots neuestes Open-Weight-Flaggschiff mit nativer Bildverarbeitung und 1M Kontext

→

GPT-5.3 Codex

OpenAI's agentic coding model for real software work

→

GLM 5.2

Z.ai's Flaggschiff für Coding, Agenten und Systemarbeit

→
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