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DeepSeek V4.1 Flash

deepseek-v4.1-flash

deepseek-v4.1-flash is available at deepseek-v4.1-flash. Below: price, specifications and request examples.

Price

model valueInput, per 1MOutput, per 1MCache, per 1M
deepseek-v4.1-flash$0.0082$0.0324$0.0009

Prices per 1M tokens. You pay for what you use.

Specifications

Context window
900,000 tokens
Max output tokens
393,216 tokens
Image input
yes
Reasoning
no
Anthropic format (/v1/messages)
yes
Data in Russia
no

Request example

Create a key in the dashboard. Streaming works too: add "stream": true.

curl
curl https://whitelabel-demo.getvibeapi.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "deepseek-v4.1-flash", "messages": [{"role": "user", "content": "Hello!"}]}'
Python
from openai import OpenAI

client = OpenAI(base_url="https://whitelabel-demo.getvibeapi.com/v1", api_key="YOUR_KEY")
reply = client.chat.completions.create(
    model="deepseek-v4.1-flash",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(reply.choices[0].message.content)

Questions and answers

How much does deepseek-v4.1-flash cost?

Input is $0.0082 per 1M tokens, output $0.0324 per 1M. You are charged for the tokens actually used, so a single request costs a fraction of a cent. Your balance and spending are in the dashboard.

What is the context window of deepseek-v4.1-flash?

Up to 900,000 input tokens and up to 393,216 output tokens.

How do I call deepseek-v4.1-flash?

Set the base URL to https://whitelabel-demo.getvibeapi.com/v1 and use "deepseek-v4.1-flash" in the model field of any OpenAI-compatible client. curl and Python examples are on this page.

Is cached input cheaper?

Repeated context is billed at the cache price — $0.0009 per 1M tokens instead of $0.0082.

Does deepseek-v4.1-flash understand images?

Yes, images can be sent along with text.

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