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Kimi K2.5

Kimi K2.5 by Kimi, through an OpenAI-compatible chat completions API.

kimi-k2.5Get API key

Pricing USD per million tokens

TokensPer 1M tokens
Input$0.514
Cached input$0.514
Cache write (5 min)$0.514
Cache write (1 hour)$0.514
Output$0.6939

Reasoning tokens are billed as output. Each answer's usage carries cost_usd, the amount taken from your balance; a request with no answer costs $0.00.

Request

curl
curl https://api.revana.si/v1/chat/completions \
  -H "Authorization: Bearer $REVANA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"kimi-k2.5","messages":[{"role":"user","content":"Write a haiku about routing."}]}'
Python
import os
from openai import OpenAI

client = OpenAI(base_url="https://api.revana.si/v1", api_key=os.environ["REVANA_API_KEY"])
reply = client.chat.completions.create(
    model="kimi-k2.5",
    messages=[{"role": "user", "content": "Write a haiku about routing."}],
)
print(reply.choices[0].message.content)

Any OpenAI SDK works: set the base URL to https://api.revana.si/v1. Streaming, tools and the rest are in the chat completions docs.

Details

Model id
kimi-k2.5
Maker
Kimi
Endpoint
POST /v1/chat/completions
Streaming
Yes (server-sent events)
Routes
1

1 route

One route today. A request that gets no answer is not charged.

About the Kimi K2.5 API

How much does the Kimi K2.5 API cost?

Kimi K2.5 costs $0.514 per million input tokens, $0.514 per million cached input tokens and $0.6939 per million output tokens on Revana. You pay from prepaid credit for the tokens each request used, with no subscription or minimum.

How do I call Kimi K2.5 from code?

Use any OpenAI SDK with base URL https://api.revana.si/v1 and your Revana API key, and set model to "kimi-k2.5". POST /v1/chat/completions takes the OpenAI request body, streamed or not.

What happens if a request fails?

A request that gets no answer costs nothing.

Is Kimi K2.5 on Revana the same model?

Yes. Revana passes your request to Kimi's model unchanged and returns its answer in the OpenAI format, with the usage it reported and what the request cost.

More from Kimi

Also as markdown for agents. Every language model and price: llms.json.