Using Nemotron 3 Super-120B-A12B on Fireworks AI
Implementation guide · Nemotron 3 · NVIDIA AI
Fireworks AI exposes Nemotron 3 Super-120B-A12B through model ID accounts/fireworks/models/nvidia-nemotron-3-super-120b-a12b-nvfp4. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-01. Next refresh: weekly.
Quick Start
- 1
- 2Use the Fireworks AI SDK or REST API to call
accounts/fireworks/models/nvidia-nemotron-3-super-120b-a12b-nvfp4— see the documentation for request format.
Code Examples
pip install openaiFIREWORKS_API_KEYaccounts/fireworks/models/nvidia-nemotron-3-super-120b-a12b-nvfp4Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],
base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
model="accounts/fireworks/models/nvidia-nemotron-3-super-120b-a12b-nvfp4",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Fireworks AI
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.