NVIDIA Nemotron 3 Super model
Nemotron 3 Super represents a significant advancement within the Nemotron family, engineered specifically for high-performance chat applications. Built with FP16 quantization, this model delivers exceptional precision and reasoning capabilities, making it ideal for complex multi-turn conversations and intricate code generation tasks. Its massive 128,000-token context window allows developers to process extensive documentation or lengthy conversation histories without losing coherence. This architectural strength ensures reliable output even when handling dense technical information or large-scale data analysis within a single prompt.
Accessing Nemotron 3 Super through LLM Resayil provides seamless integration into your existing workflows without infrastructure overhead. While operating under a proprietary license, the model is available starting at the starter tier, ensuring broad accessibility for development teams. The 3.5x credit multiplier reflects the premium compute resources required to sustain its superior performance levels. Developers should choose this model when project requirements demand top-tier accuracy and extended context retention, balancing cost against the need for enterprise-grade reliability in production environments. We handle the deployment complexity, allowing you to focus on building robust applications that leverage state-of-the-art natural language understanding.
from openai import OpenAI
client = OpenAI(
base_url="https://llmapi.resayil.io/v1/",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="nemotron-3-super",
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="nemotron-3-super",
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: "nemotron-3-super",
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": "nemotron-3-super",
"messages": [
{"role": "user", "content": "Hello!"}
]
}'