Kimi K3 Blog
Kimi K3 Blog
Practical guides for connecting Kimi K3 to developer tools.
How to Deploy Kimi K3 Locally: vLLM, SGLang, and hardware reality
A practical guide to deploy Kimi K3 locally with hardware expectations, vLLM, SGLang, TokenSpeed, OpenAI-compatible testing, and troubleshooting.
Kimi K3 API Key Setup: create, test, and protect your key
A practical Kimi K3 API key setup checklist for creating keys, testing access, storing secrets, and rotating credentials safely.
Kimi K3 API Documentation: endpoint, model name, and quickstart
A practical Kimi K3 API documentation guide for the OpenAI-compatible endpoint, model name, quickstart request, messages payload, and parameters.
How to Use Kimi K3 in Claude Code
The official Kimi Claude Code setup, with environment variables, persistent settings, and verification steps for using Kimi K3 from the terminal.
Kimi K3 Context Window: how to plan around 1M tokens
A practical guide to planning Kimi K3 long-context prompts, conversation history, files, and cost around a one-million-token window.
How to Use Kimi K3 in Cursor
A practical, source-checked guide to trying Kimi K3 from Cursor through an OpenAI-compatible endpoint, with the current limitations called out clearly.
Kimi K3 Pricing: API cost, cache hits, and budget planning
A practical guide to reading Kimi K3 API pricing, modeling cache savings, and turning token assumptions into a monthly budget.
Kimi K3 Token Cost: estimate input, output, cache, and retries
A Kimi K3 token cost guide for estimating input tokens, output tokens, cache savings, request volume, and retry overhead.
Kimi K3 vs Kimi K2.7 Code: which model should developers use?
A developer-oriented comparison of Kimi K3 and Kimi K2.7 Code, focused on tool support, context needs, and integration paths.
What is Kimi K3? Model guide, API use cases, and cost planning
A practical introduction to Kimi K3 for developers planning long-context coding, agent, research, and API workflows.