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Nemotron-3-Super-120B-A12B

Approved Data Classifications

Description

Nemotron-3-Super-120B-A12B is NVIDIA's large reasoning and agentic model in the Nemotron 3 family. It uses a hybrid LatentMoE architecture with interleaved Mamba-2, MoE, and Attention layers plus multi-token prediction, with 120B total parameters and 12B active parameters. The model supports configurable reasoning mode (thinking on/off), up to a 1M-token context window, and up to 32,768 output tokens.

For training freshness, NVIDIA reports a June 2025 pre-training data cutoff and a March 2026 post-training cutoff.

Capabilities

ModelRelease DateInputOutputContext LengthCost (per 1 million tokens)
nemotron-3-super-120b-a12bMar 11 2026TextText262,144$0.06/1M input
$0.24/1M output
info
  • 1M represents 1 Million Tokens
  • All prices listed are based on 1 Million Tokens

Availability

Cloud Provider

Usage

curl -X POST https://api.ai.it.ufl.edu/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer <API_TOKEN>" \
-d '{
"model": "nemotron-3-super-120b-a12b",
"messages": [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "Write a haiku about an Alligator."
}
]
}'

References

  1. NVIDIA Nemotron-3-Super-120B-A12B-FP8 Model Card
    https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8
  2. NVIDIA API Catalog: Nemotron 3 Super
    https://build.nvidia.com/nvidia/nemotron-3-super/modelcard