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. 1
    Create an account at Vercel AI Gateway and generate an API key.
  2. 2
    Use the Vercel AI Gateway SDK or REST API to call nvidia/nemotron-nano-12b-v2-vl — see the documentation for request format.
  3. 3
    You'll be billed $0.20/1M input, $0.60/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
AI_GATEWAY_API_KEY
Model ID
nvidia/nemotron-nano-12b-v2-vl

creator/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

TypePrice (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

Provider

Vercel AI Gateway

Vercel