Moonshot Kimi Chat API - RouterBase

Overview

Moonshot AI’s Kimi chat models on RouterBase, served through the standard OpenAI-compatible chat completions endpoint with streaming and tool calling. Includes the flagship K3 — a reasoning model with native vision understanding and a 1M-token context window — and the K2 Thinking reasoning model.


Provider	MoonshotAI
Families	`kimi-k3`, `kimi-k2`
Modality	Chat
Input	Text, Image (K3)
Output	Text

Models

moonshotai/kimi-k3
moonshotai/kimi-k2.6
moonshotai/kimi-k2.5
moonshotai/kimi-k2-thinking
moonshotai/kimi-k2-0905
moonshotai/kimi-k2-instruct

Pricing is deliberately not reproduced here. Rates are set per model in the RouterBase catalogue and can be overridden per account, so any figure copied into this page is a snapshot that goes stale the next time a rate changes. Fetch the current rate for any model from the Models API:

GET /api/models/{model}/pricing

URL-encode the slash in the model id — e.g. moonshotai%2Fkimi-k3.

Endpoint

POST https://routerbase.com/v1/chat/completions

Drop-in compatible with the OpenAI Chat Completions API — point your existing OpenAI client at https://routerbase.com/v1 with your RouterBase key. See the full Chat Completions reference for every supported parameter.

Quickstart

curl https://routerbase.com/v1/chat/completions \
  -H "Authorization: Bearer $ROUTERBASE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "moonshotai/kimi-k2.5",
    "messages": [
      { "role": "user", "content": "Explain agentic tool use in one sentence." }
    ]
  }'

from openai import OpenAI

client = OpenAI(
    base_url="https://routerbase.com/v1",
    api_key="$ROUTERBASE_API_KEY",
)

resp = client.chat.completions.create(
    model="moonshotai/kimi-k2-thinking",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)

Set "stream": true for token streaming (Server-Sent Events), exactly like the OpenAI API. Swap model for any id from the table above.