Gemini Omni Flash (reference-to-video) API
Gemini Omni Flash — Google’s reference-to-video model that generates video from one or more reference images.
About Gemini Omni Flash (reference-to-video)
Gemini Omni Flash (reference-to-video) is a large language model developed by Google. It's particularly well-suited for handling a wide range of natural language tasks. Developers choose Gemini Omni Flash (reference-to-video) when they need reliable, production-quality AI inference through a simple API — and on Qubax, it's available at a fraction of the cost of traditional providers.
In the broader AI landscape, Gemini Omni Flash (reference-to-video) sits among the capable offerings from Google What sets it apart on Qubax isn't just the model itself — it's the accessibility. Rather than dealing with enterprise contracts or traditional payment rails, you get instant access via an OpenAI-compatible endpoint. That means you can drop Gemini Omni Flash (reference-to-video) into Cursor, Cline, LangChain, or any framework that speaks the OpenAI protocol and start building immediately.
Qubax offers Gemini Omni Flash (reference-to-video) at competitive rates — just Free per million input tokens and Free per million output tokens. That pricing advantage compounds quickly at scale: a high-volume application sending millions of tokens per day can save significantly compared to using OpenRouter or the provider directly. And because Qubax runs on crypto-native infrastructure, you can pay with USDC, USDT, ETH, BTC, or 200+ other cryptocurrencies — no credit card or bank account required. New users even get $1 in free credits to test Gemini Omni Flash (reference-to-video) risk-free before committing.
Pricing
| Token Type | Qubax | OpenRouter | You Save |
|---|---|---|---|
| Input (per 1M tokens) | Free | Free | — |
| Output (per 1M tokens) | Free | Free | — |
Prices per 1 million tokens. Pay with 200+ cryptocurrencies.
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="gemini-omni-flash-reference-to-video",
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: "gemini-omni-flash-reference-to-video",
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": "gemini-omni-flash-reference-to-video",
"messages": [{"role": "user", "content": "Hello!"}]
}'Get your API key from the dashboard. New users get $1 free credits.
Why use Gemini Omni Flash (reference-to-video) on Qubax?
Best Prices
Up to 99% 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 Google
Frequently Asked Questions
How much does the Gemini Omni Flash (reference-to-video) API cost?
On Qubax, Gemini Omni Flash (reference-to-video) costs Free per 1M input tokens and Free per 1M output tokens.
Is the Gemini Omni Flash (reference-to-video) API compatible with OpenAI?
Yes. Qubax provides an OpenAI-compatible API. You can use Gemini Omni Flash (reference-to-video) 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.
How do I pay for Gemini Omni Flash (reference-to-video) API usage?
Qubax uses prepaid crypto credits. Deposit USDC on the Base chain and your balance is automatically deducted as you use the API. New users get $1 in free credits to start. No credit card required.
What can I build with Gemini Omni Flash (reference-to-video)?
Gemini Omni Flash (reference-to-video) is versatile enough for a wide range of applications. You can use it to power chatbots, generate content, and handle natural language tasks, 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 Gemini Omni Flash (reference-to-video) on Qubax?
Gemini Omni Flash (reference-to-video) on Qubax supports streaming responses, so tokens begin arriving in real time as they're generated. Latency depends on the provider and prompt complexity, but most requests start streaming within 200–800 milliseconds. Qubax routes requests through the Surplus Intelligence marketplace, which selects the fastest available compute provider for each request — so you get competitive latency at a lower price.
Can I use Gemini Omni Flash (reference-to-video) for commercial projects?
Yes. Gemini Omni Flash (reference-to-video) 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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