NVIDIA
Nemotron 3 Super
nvidia/nemotron-3-super
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications.
Pricing
| Input | $0.08per 1M tokens |
|---|---|
| Output | $0.45per 1M tokens |
Specifications
| Context window | 1Mtokens |
|---|---|
| Max output | 66Ktokens |
| Provider | NVIDIA |
| Capabilities | Reasoning · Function calling |
| Input types | text |
Use Nemotron 3 Super
Point your existing OpenAI SDK at xKiro and pass nvidia/nemotron-3-super 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-super",
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 Super through the same endpoints you already use.
Get an API key