OpenAI
AvailableGPT-6 Luna
Efficient reasoning for focused tasks and high-volume applications.
visioncache
Model pricing
-80%
Prices are shown per 1M tokens alongside their official reference rates. Your customer portal is authoritative for actual kineticRouter billing.
| Component | kineticRouter | Official reference |
|---|---|---|
| Input | $0.02/M | $0.1/M |
| Output | $0.1/M | $0.5/M |
| Cache read | $0.002/M | $0.01/M |
| Cache write | $0.025/M | $0.125/M |
| InputOver 272K input tokens | $0.04/M | $0.2/M |
| OutputOver 272K input tokens | $0.15/M | $0.75/M |
| Cache readOver 272K input tokens | $0.004/M | $0.02/M |
| Cache writeOver 272K input tokens | $0.05/M | $0.25/M |
API example
Use the OpenAI-compatible kineticRouter route with GPT-6 Luna.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.kineticrouter.com/v1",
api_key=os.environ["KINETICROUTER_API_KEY"],
)
response = client.chat.completions.create(
model="openai/gpt-6-luna",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)About this model
Efficient reasoning for focused tasks and high-volume applications.
Model FAQ
Setup details for the shared OpenAI-compatible API.
How do I call this model?＋
Use openai/gpt-6-luna with the OpenAI-compatible https://api.kineticrouter.com/v1 base URL and your kineticRouter API key.