Using Nemotron-Nano-9B-v2 on Vercel AI Gateway

Implementation guide · Nemotron Nano 2 · NVIDIA AI

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Vercel AI Gateway exposes Nemotron-Nano-9B-v2 through model ID nvidia/nemotron-nano-9b-v2. 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
Create an account at Vercel AI Gateway and generate an API key.
2
Use the Vercel AI Gateway SDK or REST API to call nvidia/nemotron-nano-9b-v2 — see the documentation for request format.
3
You'll be billed $0.06/1M input, $0.23/1M output tokens. See full pricing.

API Portal Documentation Pricing Model Card

Code Examples

Install

pip install openai

API key

AI_GATEWAY_API_KEY

Model ID

nvidia/nemotron-nano-9b-v2

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-9b-v2",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

Type	Price (per 1M)
Input tokens	$0.06
Output tokens	$0.23

Capabilities

Structured Outputs

About Nemotron-Nano-9B-v2

Nemotron-Nano-9B-v2 is NVIDIA AI's Nemotron Nano 2 model. Its knowledge cutoff is 2025-03.

Full model details →

Model Specs

Released2025-08-18

Parameters9B

ArchitectureDecoder Only

Knowledge cutoff2025-03

Vercel