NVIDIA Nemotron Nano 12B v2 VL BF16 API
Other
NVIDIA Nemotron Nano 12B v2 VL BF16
About NVIDIA Nemotron Nano 12B v2 VL BF16
NVIDIA Nemotron Nano 12B v2 VL BF16 is a language model developed by Other. It's particularly well-suited for analyzing images, screenshots, and visual content, orchestrating tool-using agents that call APIs and external services, producing structured outputs for reliable data extraction, and handling large contexts of up to 128K tokens. Its 128K-token context window means you can pass in entire documents, codebases, or conversation histories without losing context.
As of Oct 1, 2026, NVIDIA Nemotron Nano 12B v2 VL BF16 costs $0.0089 per 1M input tokens and $0.027 per 1M output tokens on Qubax, versus $0.200 / $0.600 on OpenRouter (96% less on input). A typical 1,000 chat requests (2K tokens in, 500 out) come to about $0.03. Measured availability over the last 7 days: 100.0%. 69 independent compute providers currently serve it, so requests fail over automatically. Pay with USDC, USDT, BTC, ETH or 200+ other coins — no credit card required.
Pricing
| Token Type | Qubax | OpenRouter | You Save |
|---|---|---|---|
| Input (per 1M tokens) | $0.0089 | $0.200 | 96% |
| Output (per 1M tokens) | $0.027 | $0.600 | 96% |
| Cache read (per 1M tokens) | $0.0013 | — | — |
Prices per 1 million tokens. Pay with 200+ cryptocurrencies. Cache read is the discounted rate providers offer for repeated prompt prefixes.
Price History (60 Days)
This model's price over the last 60 days. Compare against all top AI models →
Estimated Monthly Cost
Specifications
Use Cases
Capabilities
Quick Start
from openai import OpenAI
client = OpenAI(
base_url="https://api.qubax.ai/v1",
api_key="qbx_live_YOUR_API_KEY",
)
response = client.chat.completions.create(
model="nvidia-nemotron-nano-12b-v2",
messages=[
{"role": "user", "content": "Hello!"}
],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.qubax.ai/v1",
apiKey: "qbx_live_YOUR_API_KEY",
});
const response = await client.chat.completions.create({
model: "nvidia-nemotron-nano-12b-v2",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);curl https://api.qubax.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer qbx_live_YOUR_API_KEY" \
-d '{
"model": "nvidia-nemotron-nano-12b-v2",
"messages": [{"role": "user", "content": "Hello!"}]
}'Get your API key from the dashboard.
Why use NVIDIA Nemotron Nano 12B v2 VL BF16 on Qubax?
96% Cheaper
Up to 96% off OpenRouter prices
Pay with Crypto
200+ coins (BTC, ETH, SOL, USDT, USDC & more). No credit card needed.
OpenAI Compatible
Drop-in replacement. Works with Cline, Cursor, any tool.
More from Other
Compare NVIDIA Nemotron Nano 12B v2 VL BF16 with alternatives
| Model | Provider | Input / 1M | Output / 1M | vs NVIDIA Nemotron Nano 12B v2 VL BF16 |
|---|---|---|---|---|
| NVIDIA Nemotron Nano 12B v2 VL BF16 | Other | $0.0089 | $0.027 | — |
| GPT 5 Mini | OpenAI | $0.0084 | $0.068 | Cheaper |
| GPT OSS Safeguard 120B | OpenAI | $0.0066 | $0.027 | Cheaper |
| MiniMax M2.1 | MiniMax | $0.0045 | $0.018 | Cheaper |
| DeepSeek V4 Flash | DeepSeek | $0.0077 | $0.015 | Cheaper |
Frequently Asked Questions
How much does the NVIDIA Nemotron Nano 12B v2 VL BF16 API cost?
On Qubax, NVIDIA Nemotron Nano 12B v2 VL BF16 costs $0.0089 per 1M input tokens and $0.027 per 1M output tokens. This is 96% cheaper than OpenRouter's price of $0.200 per 1M input tokens.
Is the NVIDIA Nemotron Nano 12B v2 VL BF16 API compatible with OpenAI?
Yes. Qubax provides an OpenAI-compatible API. You can use NVIDIA Nemotron Nano 12B v2 VL BF16 as a drop-in replacement by changing your base URL to https://api.qubax.ai/v1 and using your Qubax API key. It works with Cline, Cursor, OpenCode, Hermes Agent, and any tool that supports OpenAI APIs.
Why is NVIDIA Nemotron Nano 12B v2 VL BF16 cheaper on Qubax than OpenRouter?
Qubax sources AI inference from an open compute marketplace on the Base blockchain where GPU providers compete on price. We pass the savings to you — 96% cheaper than OpenRouter's price for NVIDIA Nemotron Nano 12B v2 VL BF16.
How do I pay for NVIDIA Nemotron Nano 12B v2 VL BF16 API usage?
Qubax uses prepaid crypto credits. Deposit USDC on the Base chain and your balance is automatically deducted as you use the API. No credit card required. Top up from $3.
What is the context window of NVIDIA Nemotron Nano 12B v2 VL BF16?
NVIDIA Nemotron Nano 12B v2 VL BF16 supports a context window of 128K tokens, allowing you to process large documents, codebases, or long conversations in a single request.
What can I build with NVIDIA Nemotron Nano 12B v2 VL BF16?
NVIDIA Nemotron Nano 12B v2 VL BF16 is versatile enough for a wide range of applications. You can use it to analyze images and visual content, build autonomous agents that call external tools and APIs, generate structured JSON output for data pipelines, process long documents and entire codebases, and more. Because it's served through Qubax's OpenAI-compatible API, integration into existing apps, agents, or workflows takes just a few lines of code.
How fast is NVIDIA Nemotron Nano 12B v2 VL BF16 on Qubax?
NVIDIA Nemotron Nano 12B v2 VL BF16 on Qubax supports streaming responses, so tokens begin arriving in real time as they're generated. Latency depends on the provider and prompt complexity. Qubax routes requests through an intelligent routing layer, which selects the fastest available compute provider for each request — so you get competitive latency at a lower price.
NVIDIA Nemotron Nano 12B v2 VL BF16 vs GPT 5 Mini: which should I choose?
NVIDIA Nemotron Nano 12B v2 VL BF16 by Other and GPT 5 Mini by OpenAI are both strong models in a similar price tier. NVIDIA Nemotron Nano 12B v2 VL BF16 and supports vision/image inputs. GPT 5 Mini comes from a different lab and may have different strengths depending on your workload. On Qubax, NVIDIA Nemotron Nano 12B v2 VL BF16 starts at $0.0089/1M input tokens while GPT 5 Mini comes in at $0.0084/1M, so GPT 5 Mini may be worth considering if you need to minimize per-token cost. Both are available on Qubax with crypto payments and OpenAI-compatible APIs, so you can try each and switch freely.
Can I use NVIDIA Nemotron Nano 12B v2 VL BF16 for commercial projects?
Yes. NVIDIA Nemotron Nano 12B v2 VL BF16 on Qubax can be used for commercial purposes. You own the outputs you generate. Qubax provides the API infrastructure — you bring your use case.
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