Nemotron 3 Nano 30b A3b | NVIDIA LLM API

Name: Nemotron 3 Nano 30b A3b API
Brand: nvidia
Price: 0.05 USD
Availability: InStock

Uso de API

Usa los siguientes ejemplos de código para integrar con nuestra API:

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="nvidia/nemotron-3-nano-30b-a3b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

Introducción del modelo

Nvidia nemotron-3-nano-30b-a3b

**NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic **

NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems.

The model is fully open with open-weights, datasets and recipes so developers can easily customize, optimize, and deploy the model on their infrastructure for maximum privacy and security.

Note: For the free endpoint, all prompts and output are logged to improve the provider's model and its product and services. Please do not upload any personal, confidential, or otherwise sensitive information. This is a trial use only. Do not use for production or business-critical systems.

Why It Looks Great

Large Language Model architecture for efficient processing
262144 context window for long document handling
Competitive pricing at $0.0/$0.2 per million tokens

Key Features

Context Window: 262144 tokens
Max Output: N/A tokens
Vision: Supported
Function Calling: Supported

Specifications

Specification	Value
Provider	Nvidia
Model Type	Large Language Model (LLM)
Architecture	N/A
Context Window	262144 tokens
Max Output	tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$0.0
Output	$0.2

How to Use

Write your prompt — describe the task, provide context, and specify desired output format.
Submit — the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: nvidia/nemotron-3-nano-30b-a3b

API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="nvidia/nemotron-3-nano-30b-a3b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "nvidia/nemotron-3-nano-30b-a3b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: nvidia/nemotron-3-nano-30b-a3b
Provider: Nvidia

Preguntas frecuentes sobre Nemotron 3 Nano 30b A3b

¿Cuánto cuesta Nemotron 3 Nano 30b A3b a través de la API?+

Precios en WaveSpeedAI: $0.05 por millón de tokens de entrada y $0.20 por millón de tokens de salida. El prompt caching y el procesamiento por lotes se facturan por separado y reducen el coste efectivo en cargas largas y repetitivas.

¿Cuál es la ventana de contexto de Nemotron 3 Nano 30b A3b?+

Nemotron 3 Nano 30b A3b admite hasta 262K tokens de contexto y hasta — tokens de salida por solicitud.

¿Es Nemotron 3 Nano 30b A3b compatible con OpenAI?+

Sí. WaveSpeedAI expone Nemotron 3 Nano 30b A3b a través de un endpoint compatible con OpenAI en https://llm.wavespeed.ai/v1. Apunta el SDK oficial de OpenAI a esta base URL con tu clave API de WaveSpeedAI — sin más cambios de código.

¿Cómo empiezo con Nemotron 3 Nano 30b A3b?+

Inicia sesión en WaveSpeedAI, crea una clave API en Access Keys y envía una solicitud a https://llm.wavespeed.ai/v1/chat/completions con el id de modelo mostrado arriba. Las cuentas nuevas reciben créditos gratuitos para evaluar Nemotron 3 Nano 30b A3b antes de pagar por token.

Precios

Probar el modelo