KlingPaidOperationalModerated

Kling Motion Control

API model name: kling-motion-control

Kling Motion Control is Kling's music generation model, served on the Api.Airforce unified API. Access it through the OpenAI-compatible API with one key, alongside 100+ other models on Api.Airforce.

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Pricing

Input / 1M tokens

$2.18

Output / 1M tokens

$0.02

Cache read / 1M tokens

$0.16

Specifications

Provider: Kling
Type: music generation model

What is Kling Motion Control used for?

Music & audio generation — background tracks, jingles and soundscapes.

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Kling Motion Control — frequently asked questions

How much does Kling Motion Control cost?: Kling Motion Control is billed per generation rather than per token. See the pricing page for the current rate.
What can Kling Motion Control do?: Kling Motion Control is Kling's music generation model, accessible through the Api.Airforce API.
Is Kling Motion Control free to use?: Kling Motion Control is a paid, pay-as-you-go model — no subscription, you are only charged for usage.
How do I use Kling Motion Control via the API?: Kling Motion Control is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID kling-motion-control with your Api.Airforce API key.
Who makes Kling Motion Control?: Kling Motion Control is Kling's music generation model, served through the unified Api.Airforce gateway alongside 100+ other models.

All models·Quickstart·Chat API reference

Use Kling Motion Control via the API

OpenAI-compatible — point any OpenAI SDK at https://api.airforce/v1 and pass kling-motion-control as the model.

cURL

curl https://api.airforce/v1/chat/completions \
  -H "Authorization: Bearer $AIRFORCE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kling-motion-control",
    "messages": [{ "role": "user", "content": "Hello!" }]
  }'

Python

from openai import OpenAI
client = OpenAI(base_url="https://api.airforce/v1", api_key="$AIRFORCE_API_KEY")
r = client.chat.completions.create(
    model="kling-motion-control",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(r.choices[0].message.content)

JavaScript

import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.airforce/v1", apiKey: process.env.AIRFORCE_API_KEY });
const r = await client.chat.completions.create({
  model: "kling-motion-control",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(r.choices[0].message.content);