MoonshotAI: Kimi K3

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

moonshotai/kimi-k3

Release date: 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.

Pricing

Pay-per-use

No upfront costs, pay only for what you use

Input$3.00 / M Tokens

Output$15.00 / M Tokens

Cache Read$0.30 / M Tokens

Try the model

moonshotai/kimi-k3

Online

Hi! I am a helpful AI assistant. What can I do for you?

Ready to use this model in a local coding agent?Agent Setup

API Usage

Use the following code examples to integrate with our 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;
}

Model Introduction

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

Info

Providermoonshot

Typellm

Supported Functionality

Input

TextImage

Output

Text

Context1,048,576

Max Output-

Vision✓ Supported

Function Calling✓ Supported

API Access Guide

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

API Endpointchat/completions

Model IDmoonshotai/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.

Frequently Asked Questions about Kimi K3

How much does Kimi K3 cost via the API?+

Pricing on WaveSpeedAI: $3.00 per million input tokens and $15.00 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.

What is the context window of Kimi K3?+

Kimi K3 supports up to 1049K tokens of context with up to — tokens of output per request.

Is Kimi K3 OpenAI-compatible?+

WaveSpeedAI exposes Kimi K3 at https://llm.wavespeed.ai/v1 through the OpenAI-compatible Chat Completions interface. Most OpenAI SDK clients work by changing the base URL and API key; optional fields depend on the selected model.

How do I get started with Kimi K3?+

Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with the model id shown above. Check the current model catalog for availability, capabilities, and pricing.

Pricing

Try the model

API Usage

Model Introduction