MoonshotAI: Kimi K3

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

moonshotai/kimi-k3

Veröffentlichungsdatum: 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.

Preise

Pay-per-Use

Keine Vorabkosten, zahlen Sie nur, was Sie nutzen

Eingabe$3.00 / M Tokens

Ausgabe$15.00 / M Tokens

Cache Read$0.30 / M Tokens

Modell ausprobieren

moonshotai/kimi-k3

Online

Hallo! Ich bin ein hilfreicher KI-Assistent. Womit kann ich helfen?

Bereit, dieses Modell in einem lokalen Coding-Agent zu verwenden?Agent-Setup

API-Nutzung

Verwenden Sie die folgenden Codebeispiele zur Integration mit unserer 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;
}

Modelleinführung

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

Anbietermoonshot

Typllm

Unterstützte Funktionen

Eingabe

TextBild

Ausgabe

Text

Kontext1,048,576

Max. Ausgabe-

Vision✓ Unterstützt

Function Calling✓ Unterstützt

API-Zugriffsanleitung

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

API-Endpunktchat/completions

Modell-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.

Häufige Fragen zu Kimi K3

Wie viel kostet die Kimi K3-API?+

Preise auf WaveSpeedAI: $3.00 pro Million Input-Tokens und $15.00 pro Million Output-Tokens. Prompt-Caching und Batch-Verarbeitung werden separat berechnet und reduzieren die effektiven Kosten bei langen, sich wiederholenden Workloads.

Wie groß ist das Kontextfenster von Kimi K3?+

Kimi K3 unterstützt bis zu 1049K Kontext-Tokens und bis zu — Output-Tokens pro Anfrage.

Ist Kimi K3 OpenAI-kompatibel?+

WaveSpeedAI stellt Kimi K3 unter https://llm.wavespeed.ai/v1 über die OpenAI-kompatible Chat-Completions-Schnittstelle bereit. Bei den meisten OpenAI-SDK-Clients reichen Base-URL und API-Schlüssel; optionale Felder hängen vom Modell ab.

Wie starte ich mit Kimi K3?+

Melden Sie sich bei WaveSpeedAI an, erstellen Sie unter Access Keys einen API-Schlüssel und senden Sie eine Anfrage mit der oben gezeigten Modell-ID an https://llm.wavespeed.ai/v1/chat/completions. Verfügbarkeit, Fähigkeiten und Preise finden Sie im aktuellen Modellkatalog.

Preise

Modell ausprobieren

API-Nutzung

Modelleinführung