Using Nemotron 3 Super-120B-A12B on Vercel AI Gateway
Implementation guide · Nemotron 3 · NVIDIA AI
ServerlessOpen Weights
Vercel AI Gateway exposes Nemotron 3 Super-120B-A12B through model ID 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 2026-06-29. Next refresh: weekly.
Quick Start
- 1
- 2Use the Vercel AI Gateway SDK or REST API to call
nvidia/nemotron-3-super-120b-a12b— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
AI_GATEWAY_API_KEYModel ID
nvidia/nemotron-3-super-120b-a12bcreator/model-name e.g. kwaipilot/kat-coder-pro-v2
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],
base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
model="nvidia/nemotron-3-super-120b-a12b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Vercel AI Gateway
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.15 |
| Output tokens | $0.65 |
Capabilities
Structured Outputs
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.
Model Specs
Released2026-03-11
Parameters120B
Context1.05m
ArchitectureDecoder Only