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NVIDIA Nemotron Nano 12B v2 VL BF16 API

nvidia/nemotron-nano-12b-v2

Call NVIDIA Nemotron Nano 12B v2 VL BF16 through UberLLM’s OpenAI-compatible API — from $0.0024/M input and $0.0073/M output, routed automatically to the cheapest healthy seller. NVIDIA · 128,000 token context. Fee included.

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NVIDIA Nemotron Nano 12B v2 VL BF16 pricing

Price now · per 1M tokens
Input
$0.00244
Output
$0.00732
Cached input
$0.000366
% off list
99% off
List price · per 1M tokens
Input
$0.22
Output
$0.66
Cached input
$0.033
Providers and their list prices, per 1M tokens
ProviderInputOutput
Amazon Bedrock$0.20$0.60

UberLLM routes every request to the cheapest healthy seller for this model. The price shown includes UberLLM’s 10% fee.

How to use NVIDIA Nemotron Nano 12B v2 VL BF16 with the OpenAI SDK

Already using the OpenAI SDK? Change one line — the base URL — and call NVIDIA Nemotron Nano 12B v2 VL BF16 with your existing code. Anthropic SDKs work against https://api.uberllm.dev/v1/messages.

python
from openai import OpenAI

client = OpenAI(
    base_url="https://api.uberllm.dev/v1",
    api_key="ull_your_key_here",
)

resp = client.chat.completions.create(
    model="nvidia/nemotron-nano-12b-v2",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)

NVIDIA Nemotron Nano 12B v2 VL BF16 API — FAQ

How much does the NVIDIA Nemotron Nano 12B v2 VL BF16 API cost?

NVIDIA Nemotron Nano 12B v2 VL BF16 is listed from $0.0024 per million input tokens and $0.0073 per million output tokens through UberLLM, which routes each request to the cheapest healthy seller on a live marketplace and bills the price shown, which includes UberLLM's 10% fee.

How do I call NVIDIA Nemotron Nano 12B v2 VL BF16 via API?

Use any OpenAI-compatible SDK: set the base URL to https://api.uberllm.dev/v1, your UberLLM API key, and model "nvidia/nemotron-nano-12b-v2". Anthropic SDKs work via https://api.uberllm.dev/v1/messages.

Is NVIDIA Nemotron Nano 12B v2 VL BF16 OpenAI-compatible on UberLLM?

Yes. Every model on UberLLM — including NVIDIA Nemotron Nano 12B v2 VL BF16 — is served through one OpenAI-compatible endpoint, so you change only the base URL and key.

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