Kimi K2.5 | Moonshot AI Multimodal Coding API

Name: Kimi K2.5 API
Brand: moonshotai
Price: 0.6 USD
Availability: InStock

moonshotai/kimi-k2.5

发布时间: 2026-01-27

262,144 context · $0.60/M input tokens · $3.00/M output tokens

定价

按量付费

无需预付费用，仅按实际使用量付费

输入$0.60 / M Tokens

输出$3.00 / M Tokens

Cache Read$0.10 / M Tokens

试用模型

moonshotai/kimi-k2.5

在线

你好！我是乐于助人的 AI 助手。需要我帮你做什么？

准备在本地编码 Agent 中使用这个模型吗？Agent 配置

API 使用

使用以下代码示例接入我们的 API：

import OpenAI from 'openai';

if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
  apiKey: process.env.WAVESPEED_API_KEY,
  baseURL: 'https://llm.wavespeed.ai/v1',
  timeout: 120_000,
  maxRetries: 2,
});

try {
  const response = await client.chat.completions.create({
    model: 'moonshotai/kimi-k2.5',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

import OpenAI from 'openai';

if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
  apiKey: process.env.WAVESPEED_API_KEY,
  baseURL: 'https://llm.wavespeed.ai/v1',
  timeout: 120_000,
  maxRetries: 2,
});

try {
  const response = await client.chat.completions.create({
    model: 'moonshotai/kimi-k2.5',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

模型介绍

Moonshotai kimi-k2.5

Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Bui

Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed visual and text tokens, it delivers strong performance in general reasoning, visual coding, and agentic tool-calling.

Why It Looks Great

Large Language Model architecture for efficient processing
262144 context window for long document handling
Competitive pricing at $0.6/$3.0 per million tokens

Key Features

Context Window: 262144 tokens
Max Output: N/A tokens
Vision: Supported
Function Calling: Supported

Specifications

Specification	Value
Provider	Moonshotai
Model Type	Large Language Model (LLM)
Architecture	N/A
Context Window	262144 tokens
Max Output	tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$0.6
Output	$3.0

How to Use

Write your prompt — describe the task, provide context, and specify desired output format.
Submit — the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: moonshotai/kimi-k2.5

API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="moonshotai/kimi-k2.5",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "moonshotai/kimi-k2.5",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: moonshotai/kimi-k2.5
Provider: Moonshotai

信息

提供商moonshot

类型llm

支持功能

输入

文本图像

输出

文本

上下文262,144

最大输出65,535

视觉✓ 支持

函数调用✓ 支持

API 访问指南

Base URLhttps://llm.wavespeed.ai/v1

API 端点chat/completions

Model IDmoonshotai/kimi-k2.5

关于 Kimi K2.5 的常见问题

Kimi K2.5 API 多少钱?+

WaveSpeedAI 定价:输入每百万 token $0.60,输出每百万 token $3.00。Prompt 缓存和批处理单独计费,可显著降低长上下文、高重复任务的实际成本。

Kimi K2.5 的上下文窗口是多大?+

Kimi K2.5 单次请求最多支持 262K 上下文 token,输出最多 66K token。

Kimi K2.5 是否兼容 OpenAI?+

WaveSpeedAI 通过 https://llm.wavespeed.ai/v1 的 OpenAI 兼容 Chat Completions 接口提供 Kimi K2.5。大多数 OpenAI SDK 客户端只需更换 base URL 和 API Key；可选字段取决于具体模型。

如何开始使用 Kimi K2.5?+

登录 WaveSpeedAI，在 Access Keys 中创建 API Key，然后使用上方显示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 发送请求。模型可用性、能力和价格请以当前模型目录为准。

定价