Gemini, Google’s newest frontier model

Modified on Wed, 10 Dec at 9:51 AM

Omniscope can now tap into Google’s most advanced AI models giving users access to cutting-edge reasoning, and long-context analysis. Whether you’re building dashboards, automating workflows, summarising data, or generating narrative reports, Gemini brings formidable AI power.

Gemini is Google’s flagship AI model family designed for broad general-purpose use: from chat and content generation to coding, and data analysis. Over successive versions, Google has enhanced Gemini’s capabilities in reasoning, context window size, multimodality, and tool integration.With integration into Omniscope, Gemini becomes a powerful alternative/complement to other LLM providers.

Gemini models as of late 2025

Gemini’s model lineup has evolved rapidly. Here are the most relevant ones today, and how they differ:

Model / Variant	Primary Strengths / Use Cases
Gemini 3 Pro (aka “Gemini 3”)	State-of-the-art reasoning and multimodal understanding. According to Google, Gemini 3 Pro outperforms previous Gemini versions on major AI benchmarks, giving more depth, nuance, and context-awareness.
Gemini 2.5 Pro	Excellent at reasoning, coding, math/science benchmarks, and “thinking-style” long-context tasks; also performs well in environments requiring structured outputs — useful for data analysis, code generation & complex logic.
Other Gemini Variants (e.g. “Flash,” lighter / faster models)	Great for quick completions, lighter tasks, or situations where speed/cost matters more than maximum reasoning — e.g. summarization, simple text generation, basic Q&A. Previous models like 1.5 or “Flash / Lite” variants aimed at balancing efficiency with capability.

Configure Gemini in Omniscope

In order to use Gemini in Omniscope, you need to obtain an API key:

Open Google AI Studio and log in
- Go to aistudio.google.com in your browser.
- Sign in using your Google account (or create an account if you don’t have one).
Accept Terms of Service (if prompted)
- On first use, you may be asked to accept Google’s Generative AI (Gemini) terms of service and possibly confirm your region.
Navigate to the “Get API key” section
- Once logged in, look for a “Get API key” button or menu entry in AI Studio’s interface. This is usually in a sidebar or dashboard view.
Create the API key
- Click “Create API key”.
- You’ll be given two options: create the key in a new project (for simplicity / testing), or in an existing project (if you already use Google Cloud).
- Choose the option that fits your setup (new project is easiest to start quickly).
Copy the API key
- As soon as it's generated, you’ll see a string token (the API key). Copy it and store it somewhere safe.
In Omniscope, go to the admin app → AI Settings
- Now, click on "Add provider", select Gemini and paste the API key there.