MoonshotAI: Kimi K3

Name: Kimi K3 API
Brand: moonshotai
Price: 3 USD
Availability: InStock

moonshotai/kimi-k3

Fecha de lanzamiento: 2026-07-16

1,048,576 context · $3.00/M input tokens · $15.00/M output tokens

Kimi K3 is Moonshot AI's flagship open-weight multimodal reasoning model. It is built for complex coding, knowledge work, and long-horizon agentic workflows, with strong performance on large codebase navigation, tool use, debugging, visual reasoning, and iterative problem solving. WaveSpeed AI exposes moonshotai/kimi-k3 through an OpenAI-compatible API, so it can be used with standard OpenAI SDKs and existing chat-completions-based application flows.

Precios

Pago por uso

Sin costos iniciales, paga solo por lo que uses

Entrada$3.00 / M Tokens

Salida$15.00 / M Tokens

Cache Read$0.30 / M Tokens

Probar el modelo

moonshotai/kimi-k3

En línea

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¿Listo para usar este modelo en un coding agent local?Configurar agent

Uso de API

Usa los siguientes ejemplos de código para integrar con nuestra 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: 0,
});

try {
  const response = await client.chat.completions.create({
    model: 'moonshotai/kimi-k3',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  const body = response as typeof response & { error?: { message?: string } };
  if (body.error) throw new Error(body.error.message || 'LLM generation failed');
  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: 0,
});

try {
  const response = await client.chat.completions.create({
    model: 'moonshotai/kimi-k3',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  const body = response as typeof response & { error?: { message?: string } };
  if (body.error) throw new Error(body.error.message || 'LLM generation failed');
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

Introducción del modelo

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...

This model is available through the WaveSpeed AI OpenAI-compatible API for chat completions and compatible application workflows.

Why It Looks Great

text+image+video->text architecture for Text, Image, Video to Text workloads
1048576 context window for long prompts, document analysis, and multi-turn workflows
Vision input support for image understanding and multimodal tasks
Function calling and tool-use support for agentic application workflows
Structured output support for JSON responses and schema-constrained generation
Reasoning controls available through supported parameters

Key Features

Context Window: 1048576 tokens
Max Input: 104858 tokens
Max Output: 943718 tokens
Vision: Supported
Function Calling: Supported
Structured Outputs: Supported
Image Generation: Not listed
Audio Input: Not listed
Supported Parameters: frequency_penalty, include_reasoning, logit_bias, logprobs, max_completion_tokens, max_tokens, min_p, parallel_tool_calls, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p

Specifications

Specification	Value
Provider	moonshot
Model Type	Chat Completions model
Architecture	text+image+video->text
Context Window	1048576 tokens
Max Input	104858 tokens
Max Output	943718 tokens
Input	Text, Image, Video
Output	Text
Vision	Supported
Function Calling	Supported
Structured Outputs	Supported
Release Date	July 16, 2026

How to Use

Write your prompt - describe the task, provide context, and specify the 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-k3

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-k3",
    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-k3",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: moonshotai/kimi-k3
Provider: moonshot

Información

Proveedormoonshot

Tipollm

Funcionalidades compatibles

Entrada

TextoImagen

Salida

Texto

Contexto1,048,576

Salida máxima-

Visión✓ Compatible

Function Calling✓ Compatible

Guía de acceso a la API

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

API Endpointchat/completions

ID del modelomoonshotai/kimi-k3

Kimi K3 API

moonshotai/kimi-k3

Kimi K3 is Moonshot AI's flagship open-weight multimodal reasoning model. It is built for complex coding, knowledge work, and long-horizon agentic workflows, with strong performance on large codebase navigation, tool use, debugging, visual reasoning, and iterative problem solving. WaveSpeed AI exposes `moonshotai/kimi-k3` through an OpenAI-compatible API, so it can be used with standard OpenAI SDKs and existing chat-completions-based application flows.

Preguntas frecuentes sobre Kimi K3

¿Cuánto cuesta Kimi K3 a través de la API?+

Precios en WaveSpeedAI: $3.00 por millón de tokens de entrada y $15.00 por millón de tokens de salida. El prompt caching y el procesamiento por lotes se facturan por separado y reducen el coste efectivo en cargas largas y repetitivas.

¿Cuál es la ventana de contexto de Kimi K3?+

Kimi K3 admite hasta 1049K tokens de contexto y hasta — tokens de salida por solicitud.

¿Es Kimi K3 compatible con OpenAI?+

WaveSpeedAI ofrece Kimi K3 en https://llm.wavespeed.ai/v1 mediante la interfaz Chat Completions compatible con OpenAI. En la mayoría de clientes del SDK de OpenAI basta con cambiar la URL base y la clave API; los campos opcionales dependen del modelo.

¿Cómo empiezo con Kimi K3?+

Inicia sesión en WaveSpeedAI, crea una clave API en Access Keys y envía una solicitud a https://llm.wavespeed.ai/v1/chat/completions con el id de modelo mostrado arriba. Consulta el catálogo actual para conocer disponibilidad, capacidades y precios.

Precios

Probar el modelo

Uso de API

Introducción del modelo