Kimi API Guide for International Developers (2026)

Kimi — built by Moonshot AI — is one of China's top large language models, known for its 200K context window and exceptional long-form reasoning. If you're a developer outside China, this guide covers everything: how to access it, pricing, model selection, and code examples.

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Kimi Models Available (2026)

Model	Context	Best For	Pricing (per 1M tokens)
kimi-k2	128K	General purpose, coding, analysis	$0.30 / $0.60 (in/out)
kimi-k1.5	128K	Cost-efficient reasoning	$0.15 / $0.30 (in/out)
kimi-latest	200K	Long document processing, research	Auto-routed to best model

Python Quickstart

import openai

client = openai.OpenAI(
    base_url="https://aiwave.live/v1",
    api_key="sk-your-aiwave-key"
)

response = client.chat.completions.create(
    model="kimi-k2",
    messages=[{"role": "user", "content": "Explain quantum computing in one paragraph"}]
)

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

Node.js Quickstart

import OpenAI from 'openai';

const client = new OpenAI({
  baseURL: 'https://aiwave.live/v1',
  apiKey: 'sk-your-aiwave-key'
});

const response = await client.chat.completions.create({
  model: 'kimi-k2',
  messages: [{ role: 'user', content: 'Write a haiku about AI' }]
});

console.log(response.choices[0].message.content);

Why Use Kimi via AIWave Instead of Directly?

Feature	Direct Moonshot API	Via AIWave
Chinese phone number required	❌ Yes	✅ No
Payment methods	Alipay/WeChat only	USD, crypto, Stripe
API format	Custom Moonshot format	OpenAI-compatible
Multi-model access	Kimi only	Kimi + DeepSeek + GLM + 50+
Free credit	Varies	$5 (2.5M+ tokens)
Rate limiting	Per-account	Aggregated, higher limits

When to Choose Kimi Over Other Models

Long context tasks: 200K token window handles entire books, codebases, research papers
High-quality reasoning: kimi-k2 performs competitively with Claude 3.5 for analytical tasks
Cost-sensitive projects: At $0.15/M tokens, it's 30-50x cheaper than GPT-4
Chinese-English bilingual: Native-level Chinese, excellent English

💡 Pro tip: For maximum cost savings, use kimi-k1.5 for bulk processing tasks and kimi-k2 for quality-critical operations. Combine with DeepSeek-Reasoner for math-heavy workloads.