Deepseek4 1650B parameter (FP8) model with 1,048,576 token context window.
DeepSeek V4 Pro 0813 delivers enterprise-grade reasoning capabilities designed for complex API integrations and extensive context processing. With 1650 billion parameters optimized in FP8 quantization, this thinking model handles intricate logical tasks while maintaining efficient inference speeds. Developers can immediately integrate this model via our standard API endpoints, enabling rapid prototyping without extensive configuration. The massive 1,048,576 token context window allows for full-document analysis and long-form code generation, making it ideal for research pipelines requiring deep contextual understanding across both Arabic and English languages.
Built for production environments, this model operates under an MIT license and requires an enterprise tier subscription to ensure dedicated resources and stability. It offers native support for Arabic and English, ensuring accurate performance across diverse linguistic tasks without requiring additional fine-tuning. The 18x credit multiplier reflects its advanced reasoning power, providing cost-effective scaling for high-value applications. Teams deploying DeepSeek V4 Pro 0813 gain access to a robust infrastructure capable of handling demanding workloads, ensuring reliability for critical business operations and research initiatives alike.
from openai import OpenAI
client = OpenAI(
base_url="https://llmapi.resayil.io/v1/",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="deepseek-v4-pro:0813",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)import anthropic
client = anthropic.Anthropic(
base_url="https://llmapi.resayil.io/v1",
api_key="YOUR_API_KEY"
)
message = client.messages.create(
model="deepseek-v4-pro:0813",
max_tokens=1024,
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(message.content[0].text)const response = await fetch(
"https://llmapi.resayil.io/v1/chat/completions",
{
method: "POST",
headers: {
"Content-Type": "application/json",
"Authorization": "Bearer YOUR_API_KEY"
},
body: JSON.stringify({
model: "deepseek-v4-pro:0813",
messages: [
{ role: "user", content: "Hello!" }
]
})
}
);
const data = await response.json();
console.log(data.choices[0].message.content);curl https://llmapi.resayil.io/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "deepseek-v4-pro:0813",
"messages": [
{"role": "user", "content": "Hello!"}
]
}'