DeepSeek V4 Pro 0813

Chat Completions

deepseek-v4-pro-0813

Deepseek|Created Aug 13, 2026|1.0M context

Chat Completions

DeepSeek V4 Pro 0813 is the official release of DeepSeek V4 Pro, superseding the preview version, with greatly enhanced agentic capabilities and performance improvements that are especially pronounced in production environments. It is built on the DeepSeek V4 Pro (Preview) model structure, with a DSpark speculative decoding module attached. The model natively supports a 1M-token context window and flexible reasoning effort: low for simple tasks, high for daily agent workflows, and max for complex ones.

Overview Specifications Activity Performance Uptime Examples API Reference

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Pricing-50%

Pay-as-you-go rates for this model. More details in the billing guide.

Input Tokens (1M)

$0.33

Cached Input Tokens (1M)

$0.01

Output Tokens (1M)

$0.99

Capabilities

Input Modalities

Text

Output Modalities

Text

Supported Parameters

Available parameters for API requests

Max Completion TokensPresence PenaltyResponse FormatTemperatureTool ChoiceToolsTop PFrequency PenaltyLogprobsReasoning EffortStopLogit BiasParallel Tool CallsPrediction

Usage Analytics

Token usage of this model on our platform

Throughput

Time-To-First-Token (TTFT)

Code Example

Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.

Basic request example. Ensure API key permissions. For more details, see our documentation.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.naga.ac/v1",
    api_key="YOUR_API_KEY",
)

resp = client.chat.completions.create(
    model="deepseek-v4-pro-0813",
    messages=[
        {"role": "user", "content": "What's 2+2?"}
    ],
    temperature=0.2,
)
print(resp.choices[0].message.content)