LLM Reference
OpenRouter

Using Kimi K3 on OpenRouter

Implementation guide · Kimi · Moonshot AI

ServerlessOpen Weights

OpenRouter exposes Kimi K3 through model ID moonshotai/kimi-k3. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-08-24. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at OpenRouter and generate an API key.
  2. 2
    Use the OpenRouter SDK or REST API to call moonshotai/kimi-k3 — see the documentation for request format.
  3. 3
    You'll be billed $2.00/1M input, $11.20/1M output tokens. See full pricing.

Code Examples

See OpenRouter documentation for integration details.

Pricing on OpenRouter

TypePrice (per 1M)
Input tokens$2.00
Output tokens$11.20

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsPrompt Caching

About Kimi K3

Kimi K3 is Moonshot AI's 2.8-trillion-parameter flagship multimodal model for long-horizon coding, knowledge work, deep reasoning, and agentic workflows. It uses Kimi Delta Attention, Attention Residuals, and a sparse MoE design (16 of 896 experts active), supports a 1,048,576-token context window, text/image/video input, always-on reasoning, ToolCalls, strict JSON Schema structured output, automatic context caching, and partial mode through Moonshot's OpenAI-compatible API.

Model Specs

Released2026-07-14
Parameters2.8T total; 16 of 896 experts active
Context1.05m
ArchitectureMixture of Experts

More Models on OpenRouter

Provider

OpenRouter
OpenRouter

OpenRouter, Inc.

New York, NY, USA