Moonshot

Kimi K2.7 Code

kimi-k2.7-code

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Text generation for writing, questions and summaries. Try the verified short-copy example.

Pricing: Input 1.2458355 · Output 5.1750045 USD / 1M tokens
Output: Chat
Added to catalog: Oct 28, 2026

Input

Examples

Your message*

Add images

Enter a message or import TXT / Markdown text. Available attachment formats are shown below.

Default: Chinese cafe copy example

Response token limit

Default: 1024

Estimate the cost first. Generation starts only after confirmation.

OutputFill example

Orux Café 今日开门迎客。欢迎邻居带书来读，一杯咖啡一本书，便是社区里最温柔的时光。

README

Text generation for writing, questions and summaries. Try the verified short-copy example.

Model capabilities

Input modalities: Text
Output modalities: Text
Context caching: Supported
Tool calling: Not confirmed
Streaming: Not confirmed
Batch inference: Not supported

API protocol support

Chat Completions: Supported
Responses: Not supported
Gemini: Not supported
Anthropic: Not supported

Model limits

Context length: Not confirmed
Maximum output: Not confirmed

Writing, questions and summaries

The Chinese cafe opening copy is a real response from this model. Edit its prompt or select a summary or coding prompt. The latter examples provide reusable inputs without fabricated outputs.

Pricing and usage

Input, output and cache usage are billed separately according to the price table. Context and time-based tiers apply where listed; peak and off-peak times use UTC+8. Review the estimate before calling; final cost depends on returned usage.

Text requests and responses have been verified. Refer to the capabilities section for other input types and tools.

Parameters

Fields accepted in the request body for this model.

messagesmessages

Required

Enter a message or import TXT / Markdown text. Available attachment formats are shown below.

max_tokensinteger

Optional

Range: ≥ 1Default: 1024

Advanced

response_formatobject

Optional

For JSON output, describe the expected JSON structure in your prompt.

Values: Text / JSON object

Pricing

USD / 1M tokens

Standard

Input1.2458355

Output5.1750045

Cache read0.249168

Bill actual quantity

Minimum per call: 0 USD · Rounding is applied once to the total cost

Only listed usage types are supported for automatic billing

Pricing follows the selected specifications

Prices are billed per unit consumed with no monthly minimum. See billing guide for USD estimates and actual usage charges.

Code

View docs →

POST https://orux.top/api/v1/chat/completions

Code examples

Request body

curl 'https://orux.top/api/v1/chat/completions' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
  "messages": [
    {
      "role": "user",
      "content": "为一家名为 Orux Café 的社区咖啡店写两句温暖的开业文案，包含欢迎邻居带书来阅读。不超过80字。"
    }
  ],
  "max_tokens": 1024,
  "model": "kimi-k2.7-code"
}'

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Code examples

Response examples

{
  "id": "chatcmpl-...",
  "choices": [
    { "index": 0, "message": { "role": "assistant", "content": "Hello! How can I help you today?" } }
  ],
  "usage": { "prompt_tokens": 12, "completion_tokens": 9, "total_tokens": 21 }
}

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Frequently asked questions

About Kimi K2.7 Code pricing, capabilities and API access on Orux AI.

Does selecting an example incur a charge?

No. Selecting an example only fills the form. A model call starts after you confirm generation or send a request.

What is Kimi K2.7 Code?

Kimi K2.7 Code: Text generation for writing, questions and summaries. Try the verified short-copy example.

How much does Kimi K2.7 Code cost on Orux AI?

Input: 249.1671 Credits; output: 1035.0009 Credits, per 1M tokens. See the pricing section on this page for Kimi K2.7 Code pricing and applicable conditions. Charges depend on the selected parameters and recorded usage.

What inputs and outputs does Kimi K2.7 Code support?

Kimi K2.7 Code accepts Text and returns Text.

Where can I access the Kimi K2.7 Code API?

Create an Orux AI API key and send an authenticated POST request to https://orux.top/api/v1/chat/completions, using kimi-k2.7-code as the model identifier. Try the playground on this page and use the API example for the exact request format.