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NVIDIA

Nemotron 3 Nano

nvidia/nemotron-3-nano

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.

Pricing

Input$0.05per 1M tokens
Output$0.2per 1M tokens
Cached input$0.0165per 1M tokens read from cache

Specifications

Context window1Mtokens
Max output66Ktokens
ProviderNVIDIA
CapabilitiesReasoning · Function calling
Input typestext

Use Nemotron 3 Nano

Point your existing OpenAI SDK at xKiro and pass nvidia/nemotron-3-nano as the model. Nothing else in your code changes.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.xkiro.com/v1",
    api_key="YOUR_XKIRO_KEY",
)

response = client.chat.completions.create(
    model="nvidia/nemotron-3-nano",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Supported parameters

max_tokens · temperature · top_p · stop · frequency_penalty · presence_penalty · seed · stream · tools · tool_choice · response_format · structured_outputs · reasoning · include_reasoning

Related models

Call Nemotron 3 Nano through the same endpoints you already use.

Get an API key