Kimi K3 API Resources
Kimi K3 API Resources
This page collects the practical Kimi K3 API guides, examples, and documentation links maintained around lizh.ai. Use it as a starting point when you want to test Kimi K3 through an OpenAI-compatible API endpoint.
lizh.ai is an independent OpenAI-compatible API gateway. It is not the official Moonshot AI or Kimi API website.
Core setup values
- Base URL:
https://lizh.ai/v1 - Model ID:
kimi-k3 - API key: create one at lizh.ai/keys
- Current model pricing: lizh.ai/pricing
Start here
If you only need one link, open the public documentation mirror. It contains cURL, Python, Node.js, Cursor, Hermes, OpenClaw, pricing checks, and troubleshooting:
Kimi K3 OpenAI-compatible API Guide
Shop guides
These shop.lizh.ai guides cover high-intent search questions and tool-specific setup paths:
- How to get and use Kimi K3 API
- Kimi K3 API pricing guide
- Kimi K3 with Cursor
- Kimi K3 with Python
- Kimi K3 with OpenClaw or Hermes
- Kimi K3 OpenAI-compatible API setup
- Kimi K3 Base URL and model ID
External examples and articles
- GitHub examples repository
- Dev.to tutorial: Kimi K3 with an OpenAI-compatible API endpoint
- Blogger tutorial: Kimi K3 API with Python and Cursor
What to test first
- Create an API key at lizh.ai/keys.
- Send one short cURL request to https://lizh.ai/v1/chat/completions.
- Move the same Base URL, API key, and model ID into Python, Cursor, Hermes, OpenClaw, or your backend.
- Check pricing and usage logs before long-context coding or agent workflows.
Common mistakes
- Using a provider-specific Base URL instead of https://lizh.ai/v1.
- Typing a display name instead of the exact model ID kimi-k3.
- Testing a huge repository or long document before confirming a small request works.
- Hard-coding API keys in source code.
- Comparing model quality without tracking input tokens, output tokens, cache-hit tokens, latency, and cost.
Official reference
For official Kimi model behavior and Moonshot-specific features, read the provider documentation: