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moonshotai/kimi-k2

moonshotai/kimi-k2

131,072 context · $0.57/M input tokens · $2.30/M output tokens

Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...

定价

按量付费

无需预付费用,仅按实际使用量付费

输入$0.57 / M Tokens
输出$2.30 / M Tokens

试用模型

moonshotai/kimi-k2
在线
moonshot
你好!我是乐于助人的 AI 助手。需要我帮你做什么?

API 使用

使用以下代码示例接入我们的 API:

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",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

模型介绍

Moonshotai kimi-k2

Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 bill

Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for agentic capabilities, including advanced tool use, reasoning, and code synthesis. Kimi K2 excels across a broad range of benchmarks, particularly in coding (LiveCodeBench, SWE-bench), reasoning (ZebraLogic, GPQA), and tool-use (Tau2, AceBench) tasks. It supports long-context inference up to 128K tokens and is designed with a novel training stack that includes the MuonClip optimizer for stable large-scale MoE training.


Why It Looks Great

  • Large Language Model architecture for efficient processing
  • 131072 context window for long document handling
  • Competitive pricing at $0.5/$2.6 per million tokens

Key Features

  • Context Window: 131072 tokens
  • Max Output: N/A tokens
  • Vision: Supported
  • Function Calling: Supported

Specifications

SpecificationValue
ProviderMoonshotai
Model TypeLarge Language Model (LLM)
ArchitectureN/A
Context Window131072 tokens
Max Outputtokens
InputText
OutputText
VisionSupported
Function CallingSupported

Pricing

Token TypeCost per Million Tokens
Input$0.5
Output$2.6

How to Use

  1. Write your prompt — describe the task, provide context, and specify desired output format.
  2. 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


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",
    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",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

  • Model: moonshotai/kimi-k2
  • Provider: Moonshotai

信息

提供商moonshot
类型llm

支持功能

输入
文本
输出
文本
上下文131,072
最大输出131,072
视觉-
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

Kimi K2 API

moonshotai/kimi-k2

Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...

输入

$0.57 /M

输出

$2.3 /M

上下文

131K

最大输出

131K

工具调用

支持

在 WaveSpeedAI 试用 Kimi K2

通过我们的统一 API 接入 Kimi K2 — 兼容 OpenAI、无冷启动、透明计费。

关于 Kimi K2 的常见问题

Kimi K2 API 多少钱?+

WaveSpeedAI 定价:输入每百万 token $0.57,输出每百万 token $2.30。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 的上下文窗口是多大?+

Kimi K2 单次请求最多支持 131K 上下文 token,输出最多 131K token。

Kimi K2 是否兼容 OpenAI?+

是的。WaveSpeedAI 通过 https://llm.wavespeed.ai/v1 的 OpenAI 兼容端点提供 Kimi K2。把官方 OpenAI SDK 的 base URL 指向该地址,使用 WaveSpeedAI 的 API Key 即可,无需任何其他代码改动。

如何开始使用 Kimi K2?+

登录 WaveSpeedAI,在 Access Keys 中生成 API Key,使用上方显示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 发送请求。新账户可获得免费额度,用于试用 Kimi K2。

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