Using Nemotron-Nano-12B-v2-VL on Vercel AI Gateway
Implementation guide · Nemotron Nano 2 · NVIDIA AI
ServerlessOpen Weights
Vercel AI Gateway exposes Nemotron-Nano-12B-v2-VL through model ID nvidia/nemotron-nano-12b-v2-vl. 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-nano-12b-v2-vl— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
AI_GATEWAY_API_KEYModel ID
nvidia/nemotron-nano-12b-v2-vlcreator/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-nano-12b-v2-vl",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Vercel AI Gateway
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $0.60 |
Capabilities
VisionMultimodalStructured Outputs
About Nemotron-Nano-12B-v2-VL
Nemotron-Nano-12B-v2-VL is NVIDIA AI's Nemotron Nano 2 model with multimodal text and image input. It was released 2025-10-28.
Model Specs
Released2025-10-28
Parameters12B
ArchitectureDecoder Only