Using Nemotron 3 Super-120B-A12B on DeepInfra
Implementation guide · Nemotron 3 · NVIDIA AI
DeepInfra exposes Nemotron 3 Super-120B-A12B through model ID nvidia/NVIDIA-Nemotron-3-Super-120B-A12B. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-15. Next refresh: weekly.
Quick Start
- 1
- 2Use the DeepInfra SDK or REST API to call
nvidia/NVIDIA-Nemotron-3-Super-120B-A12B— see the documentation for request format. - 3
Code Examples
pip install openaiDEEPINFRA_API_KEYnvidia/NVIDIA-Nemotron-3-Super-120B-A12BDeepInfra uses "organization/model-name" format, e.g. "meta-llama/Meta-Llama-3-8B-Instruct" or "mistralai/Mistral-7B-Instruct-v0.3". See the DeepInfra model catalog for exact IDs.
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DEEPINFRA_API_KEY"],
base_url="https://api.deepinfra.com/v1/openai"
)
response = client.chat.completions.create(
model="nvidia/NVIDIA-Nemotron-3-Super-120B-A12B",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on DeepInfra
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.10 |
| Output tokens | $0.50 |
Capabilities
About Nemotron 3 Super-120B-A12B
NVIDIA Nemotron 3 Super-120B-A12B is a 120B total / 12B active hybrid Latent MoE model with interleaved Mamba-2 and MoE layers for agentic, reasoning, and conversational tasks. Fireworks lists the NVFP4 variant for on-demand deployment with 262k context.