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DeepSeek V4 Pro 0813 Sg

deepseek-v4-pro-0813-sg

Text generation for writing, questions and summaries. Try the verified short-copy example.

Pricing

/ 1M tokens

Input
0.601626 – 1.203126 USD
Output
1.804752 – 3.609378 USD
Output
Chat
Added to catalog
Oct 28, 2026
Input
Examples
*

Enter a message or import TXT / Markdown text. Available attachment formats are shown below.

Default: Chinese cafe copy example
Default: 1024

Estimate the cost first. Generation starts only after confirmation.

OutputFill example
Orux Café 开门啦,煮好咖啡等邻居来坐坐。 欢迎带一本喜欢的书来阅读,让时光在香气里慢下来。

README

Text generation for writing, questions and summaries. Try the verified short-copy example.

Model capabilities

Input modalities
Text
Output modalities
Text
Context caching
Supported
Tool calling
Not confirmed
Streaming
Not confirmed
Batch inference
Not supported

API protocol support

Chat Completions
Supported
Responses
Not supported
Gemini
Not supported
Anthropic
Not supported

Model limits

Context length
Not confirmed
Maximum output
Not confirmed

Writing, questions and summaries

The Chinese cafe opening copy is a real response from this model. Edit its prompt or select a summary or coding prompt. The latter examples provide reusable inputs without fabricated outputs.

Pricing and usage

Input, output and cache usage are billed separately according to the price table. Context and time-based tiers apply where listed; peak and off-peak times use UTC+8. Review the estimate before calling; final cost depends on returned usage.

Text requests and responses have been verified. Refer to the capabilities section for other input types and tools.

Parameters

Fields accepted in the request body for this model.

messagesmessages
Required

Enter a message or import TXT / Markdown text. Available attachment formats are shown below.

max_tokensinteger
Optional
Range: ≥ 1Default: 1024
Advanced
temperaturenumber
Optional

Adjust response randomness. Tune either temperature or top_p.

Range: 0 – 2
top_pnumber
Optional
Range: 0 – 1
response_formatobject
Optional

For JSON output, describe the expected JSON structure in your prompt.

Values: Text / JSON object
toolsobject
Optional
tool_choiceobject
Optional

Select a function, for example {"type":"function","function":{"name":"lookup"}}.

Pricing

Pricing

USD / 1M tokens

Peak · daily 09:00–12:00 and 14:00–18:00 (UTC+8)

Input1.203126
Output3.609378
Cache read0.1203765

Bill actual quantity

Minimum per call: 0 USD · Rounding is applied once to the total cost

Only listed usage types are supported for automatic billing

Pricing follows the selected specifications

Off-peak · daily 12:00–14:00 and 18:00–09:00 (UTC+8)

Input0.601626
Output1.804752
Cache read0.060126

Bill actual quantity

Minimum per call: 0 USD · Rounding is applied once to the total cost

Only listed usage types are supported for automatic billing

Pricing follows the selected specifications

Prices are billed per unit consumed with no monthly minimum. See billing guide for USD estimates and actual usage charges.

POST https://orux.top/api/v1/chat/completions

Frequently asked questions

About DeepSeek V4 Pro 0813 Sg pricing, capabilities and API access on Orux AI.

Does selecting an example incur a charge?

No. Selecting an example only fills the form. A model call starts after you confirm generation or send a request.

What is DeepSeek V4 Pro 0813 Sg?

DeepSeek V4 Pro 0813 Sg: Text generation for writing, questions and summaries. Try the verified short-copy example.

How much does DeepSeek V4 Pro 0813 Sg cost on Orux AI?

See the pricing section on this page for DeepSeek V4 Pro 0813 Sg pricing and applicable conditions. Charges depend on the selected parameters and recorded usage.

What inputs and outputs does DeepSeek V4 Pro 0813 Sg support?

DeepSeek V4 Pro 0813 Sg accepts Text and returns Text.

Where can I access the DeepSeek V4 Pro 0813 Sg API?

Create an Orux AI API key and send an authenticated POST request to https://orux.top/api/v1/chat/completions, using deepseek-v4-pro-0813-sg as the model identifier. Try the playground on this page and use the API example for the exact request format.