Last refreshed 2026-06-29. Next refresh: weekly.
Why use Nemotron-Nano-9B-v2 on Vercel AI Gateway?
Vercel AI Gateway offers Nemotron-Nano-9B-v2 with pay-as-you-go pricing at $0.06/1M input tokens. Vercel AI Gateway is a unified AI proxy providing a single OpenAI-compatible API endpoint to 275+ models from 25+ providers including Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, xAI, Alibaba, Amazon, ByteDance, Cohere, MiniMax, MoonshotAI, KwaiPilot, Black Forest Labs, Recraft, Voyage AI, NVIDIA, and more.
Compare Nemotron-Nano-9B-v2 across 3 providers to find the best fit for your use caseInput / 1M
$0.060
Output / 1M
$0.23
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export AI_GATEWAY_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],Model ID
nvidia/nemotron-nano-9b-v2Request example
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)Gotchas
- Use provider model ID "nvidia/nemotron-nano-9b-v2", not the LLMReference slug "nemotron-nano-9b-v2".
- creator/model-name e.g. kwaipilot/kat-coder-pro-v2
- The examples expect AI_GATEWAY_API_KEY; rename it only if your application config maps the new variable.
Compare Nemotron-Nano-9B-v2 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| NVIDIA NIM | — | — |
| OpenRouter | $0.04 | $0.16 |
| Vercel AI Gateway | $0.06 | $0.23 |
Pricing
| 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.
Get Started
Model Specs
Released2025-08-18
Parameters9B
ArchitectureDecoder Only
Knowledge cutoff2025-03