DeepSeek V3.2 latest version
DeepSeek V3.2 stands as a powerhouse in the thinking model category, engineered for complex reasoning tasks requiring extensive context retention. With 671 billion parameters and a 128,000-token context window, this FP16 quantized model delivers exceptional accuracy for long-document analysis and multi-step problem solving. Developers can integrate it immediately via LLM Resayil API endpoints, ensuring seamless compatibility with existing workflows without extensive configuration. The AGPL-3.0 license provides flexibility for open-source projects, while our platform abstracts infrastructure complexity, allowing you to execute your first API call within minutes of reading this guide.
For researchers evaluating model fitness, DeepSeek V3.2 demonstrates competitive performance against leading alternatives across both English and Arabic linguistic benchmarks. Our internal testing confirms robust handling of native Arabic queries, making it production-ready for regional enterprise deployments. Pricing is transparent based on a 3.5x credit multiplier relative to our base rate, with detailed cost breakdowns available in SAR, AED, and KWD within your dashboard. This ensures business decision-makers can forecast expenses accurately without contacting sales. Whether building sophisticated agents or analyzing large datasets, this model offers the reliability and bilingual capability required for high-stakes applications.
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-v3.2",
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-v3.2",
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-v3.2",
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-v3.2",
"messages": [
{"role": "user", "content": "Hello!"}
]
}'