DeepSeek
AvailableDeepSeek V4.1 Flash
Efficient reasoning with vision, coding, and a large context window.
visioncache
Model pricing
-80%
Prices are shown per 1M tokens alongside their official reference rates. Your customer portal is authoritative for actual kineticRouter billing.
Headline prices use official peak rates. Off-peak token rates are shown separately.
| Component | kineticRouter | Official reference |
|---|---|---|
| Input | $0.06/M | $0.3/M |
| Output | $0.24/M | $1.2/M |
| Cache read | $0.0012/M | $0.006/M |
| InputOff-peak hours | $0.03/M | $0.15/M |
| OutputOff-peak hours | $0.12/M | $0.6/M |
| Cache readOff-peak hours | $0.0006/M | $0.003/M |
API example
Use the OpenAI-compatible kineticRouter route with DeepSeek V4.1 Flash.
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="deepseek/deepseek-flash",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)About this model
Efficient reasoning with vision, coding, and a large context window.
Model FAQ
Setup details for the shared OpenAI-compatible API.
How do I call this model?+
Use deepseek/deepseek-flash with the OpenAI-compatible https://api.kineticrouter.com/v1 base URL and your kineticRouter API key.