How much does Kimi K2 cost?

Kimi K2 is billed pay-as-you-go at $0.87 per 1M input tokens and $3.42 per 1M output tokens. There is no subscription — you only pay for what you use.

What is the context window of Kimi K2?

Kimi K2 supports a context window of up to 131K tokens. It can return up to 8K tokens in a single response.

Kimi K2 supports Tool calling, Prompt caching.

Is Kimi K2 free to use?

Kimi K2 is a paid, pay-as-you-go model — no subscription, you are only charged for usage.

How do I use Kimi K2 via the API?

Kimi K2 is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID kimi-k2 with your Api.Airforce API key.

Kimi K2 is Moonshot's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.

MoonshotPaidOperational

Kimi K2

API model name: kimi-k2

Kimi K2 is Moonshot's chat model, served on the Api.Airforce unified API. It has a 131K-token context window. Capabilities include Tool calling, Prompt caching. It is priced at $0.87 per million input tokens and $3.42 per million output tokens. Knowledge cutoff: 2024-12. 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

$0.87

Output / 1M tokens

$3.42

Specifications

Provider: Moonshot
Type: chat model
Context window: 131K tokens
Max output: 8K tokens
Knowledge cutoff: 2024-12
Input: text
Output: text
Prompt caching: Supported

Capabilities

Tool callingPrompt cachingStreaming

Benchmarks

Independent evaluations and measured speed from Artificial Analysis.

Intelligence Index

26.3/100

Coding Index

22.1/100

Math Index

57.0/100

MMLU-Pro82%

GPQA Diamond77%

Humanity's Last Exam7%

LiveCodeBench56%

AIME 202557%

MATH-50097%

Output speed24.3 tok/s

Time to first token1.53 s

Source: Benchmark data by Artificial Analysis (artificialanalysis.ai)

What is Kimi K2 used for?

Chatbots & assistants — conversational AI, drafting, summarizing and Q&A.
Agents & automation — function calling and tool use for multi-step workflows.
Real-time experiences — stream tokens for responsive chat and apps.

Kimi K2 vs. similar models

Model	Intelligence	Context	Input / 1M	Output / 1M
Kimi K2	26.3	131K	$0.87	$3.42
Kimi K2 0711	—	—	$0.87	$3.42
Kimi K2 0905	—	—	$2.46	$10.20
Kimi K2 Turbo	—	—	$3.42	$13.65

Prices are Api.Airforce pay-as-you-go rates per 1M tokens. Context is the maximum input length.

Kimi K2 — frequently asked questions

How much does Kimi K2 cost?: Kimi K2 is billed pay-as-you-go at $0.87 per 1M input tokens and $3.42 per 1M output tokens. There is no subscription — you only pay for what you use.
What is the context window of Kimi K2?: Kimi K2 supports a context window of up to 131K tokens. It can return up to 8K tokens in a single response.
What can Kimi K2 do?: Kimi K2 supports Tool calling, Prompt caching.
Is Kimi K2 free to use?: Kimi K2 is a paid, pay-as-you-go model — no subscription, you are only charged for usage.
How do I use Kimi K2 via the API?: Kimi K2 is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID kimi-k2 with your Api.Airforce API key.
Who makes Kimi K2?: Kimi K2 is Moonshot's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.

All models·Quickstart·Chat API reference

Use Kimi K2 via the API

OpenAI-compatible — point any OpenAI SDK at https://api.airforce/v1 and pass kimi-k2 as the model.

cURL

curl https://api.airforce/v1/chat/completions \
  -H "Authorization: Bearer $AIRFORCE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kimi-k2",
    "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="kimi-k2",
    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: "kimi-k2",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(r.choices[0].message.content);