DeepSeek V4 Pro 0813
deepseek-v4-pro-0813
deepseek-v4-pro-0813 is available at deepseek-v4-pro-0813. Below: prices per channel, specifications and request examples.
Prices per channel
| Channel | Input, per 1M | Output, per 1M | Cache, per 1M |
|---|---|---|---|
| Auto · default deepseek-v4-pro-0813 | $0.0013 | $0.0038 | $0.0002 |
| Channel 6 deepseek-v4-pro-0813:c6 | $0.0013 | $0.0038 | $0.0002 |
| Channel 7 deepseek-v4-pro-0813:c7 | $0.0749 | $0.2244 | $0.0075 |
| Channel 8 deepseek-v4-pro-0813:c8 | $0.0013 | $0.0038 | $0.0002 |
Prices per 1M tokens. You pay for what you use. Pick a channel with a suffix: deepseek-v4-pro-0813:c6; without one you get the default channel.
Specifications
- Context window
- 1,048,576 tokens
- Max output tokens
- 393,216 tokens
- Image input
- yes
- Reasoning
- yes
- Anthropic format (/v1/messages)
- yes
- Data in Russia
- no
Request example
Create a key in the dashboard. Streaming works too: add "stream": true.
curl https://demo-en.alexshkarupa.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "deepseek-v4-pro-0813", "messages": [{"role": "user", "content": "Hello!"}]}'from openai import OpenAI
client = OpenAI(base_url="https://demo-en.alexshkarupa.com/v1", api_key="YOUR_KEY")
reply = client.chat.completions.create(
model="deepseek-v4-pro-0813",
messages=[{"role": "user", "content": "Hello!"}],
)
print(reply.choices[0].message.content)Questions and answers
How much does deepseek-v4-pro-0813 cost?
Input is $0.0013 per 1M tokens, output $0.0038 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-pro-0813?
Up to 1,048,576 input tokens and up to 393,216 output tokens.
How do I call deepseek-v4-pro-0813?
Set the base URL to https://demo-en.alexshkarupa.com/v1 and use "deepseek-v4-pro-0813" in the model field of any OpenAI-compatible client. curl and Python examples are on this page.
How do channels differ?
Channels are independent routes to the same model at different prices. Without a suffix a request takes the default channel; to pin a channel add its number: deepseek-v4-pro-0813:c6. A pinned channel never fails over silently: if it is unavailable, the request returns an error.
Is cached input cheaper?
Repeated context is billed at the cache price — $0.0002 per 1M tokens instead of $0.0013.
Does deepseek-v4-pro-0813 understand images?
Yes, images can be sent along with text.
Does it support reasoning?
Yes, the model supports a reasoning mode; its depth is set by a request parameter.
Other models
Start using deepseek-v4-pro-0813 in minutes
Sign up by email, create a key in the dashboard, top up your balance without a contract.