Gemini Omni Flash (reference-to-video) API AI Agent

Gemini Omni Flash (reference-to-video) Pricing

An AI agent workload (50K input + 5K output tokens, 100 tasks/day) costs approximately $0.00/month on Qubax.

Why use Gemini Omni Flash (reference-to-video) for AI agents on Qubax?

• 🤖Autonomous agents that call APIs and external tools
• 🤖Multi-step reasoning for complex task completion
• 🤖Agent orchestration with LangChain, CrewAI, or custom frameworks
• 🤖Function calling for structured, reliable agent responses

About Gemini Omni Flash (reference-to-video)

Gemini Omni Flash — Google’s reference-to-video model that generates video from one or more reference images. On Qubax it is served by 215 independent sellers, so pricing stays competitive and uptime stays high.

Gemini Omni Flash (reference-to-video) AI Agent — code example

from openai import OpenAI
import json

client = OpenAI(
    base_url="https://api.qubax.ai/v1",
    api_key="qbx_live_YOUR_KEY",
)

tools = [{
    "type": "function",
    "function": {
        "name": "get_weather",
        "parameters": {"type": "object", "properties": {"city": {"type": "string"}}},
    },
}]

resp = client.chat.completions.create(
    model="gemini-omni-flash-reference-to-video",
    messages=[{"role": "user", "content": "What's the weather in Tokyo?"}],
    tools=tools,
)
call = resp.choices[0].message.tool_calls[0]
print(json.loads(call.function.arguments))  # -> {"city": "Tokyo"}

More Google models on Qubax

Gemini Omni Flash (reference-to-video) AI Agent FAQ