Google Gemini Family
Native multimodal understanding across text, images, audio, and video. Up to 1M tokens with seamless Google knowledge integration.
Technical Specifications
Gemini models range from ultra-fast Flash to the deep-reasoning Pro, all with native vision.
| Model | Context | Access |
|---|---|---|
| Gemini 2.0 Flash | 128K | BYOK |
| Gemini 2.5 Flash | 256K | BYOK |
| Gemini 2.5 Pro | 1M | BYOK |
| Gemini 3.5 Flash | 256K | BYOK |
| Gemini 2.5 Pro Preview | 128K | BYOK |
Use Cases
Video Analysis
Gemini's native video understanding lets you analyze hours of footage, extract transcripts, identify scenes, and generate summaries.
Multimodal Research
Upload a research paper with charts, photos, and tables. Gemini reads and cross-references all modalities in a single coherent response.
Web-Aware Answers
Gemini models can leverage real-time Google Search grounding, giving you up-to-date answers with cited sources.
Structured Data Extraction
Extract JSON, tables, and schemas from messy documents. Gemini is exceptionally good at producing structured output from unstructured input.
When to choose Gemini over GPT or Claude
Gemini shines when your tasks involve multiple media types. If you need to analyze videos, process audio transcripts alongside images, or work with complex multimodal datasets, Gemini is the clear leader.
The 1M context in Gemini 2.5 Pro rivals Claude, but with the added benefit of native Google knowledge integration. For research tasks that benefit from real-time web data, Gemini has a unique advantage.
Gemini Flash variants are among the fastest models available, making them ideal for high-throughput applications like chatbots, content moderation, and real-time translation.
Benchmarks
Gemini 2.5 Pro competes at the top tier across reasoning, coding, and multimodal benchmarks.
Benchmark results are indicative. Multimodal benchmarks (MMMU) show Gemini's unique strength in vision+language tasks.
Chat with Gemini in Solaria
Select Gemini 2.5 Pro or Flash from the model panel. Bring your own Google API key via BYOK settings.
// Gemini 2.5 Pro for multimodal analysis
const response = await fetch('/api/chat/send', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
model: 'gemini-2.5-pro',
messages: [
{ role: 'user', content: 'Describe this video frame by frame and summarize the main argument' }
],
}),
})Frequently Asked Questions
Do I need a Google API key to use Gemini in Solaria?
Yes. Gemini models in Solaria are BYOK-only (Bring Your Own Key). Add your Google AI Studio API key in Settings → API Keys, and you can chat with any Gemini model instantly.
Can Gemini analyze videos?
Yes. Gemini 2.5 Pro and Flash have native video understanding. You can upload video files and ask Gemini to describe scenes, extract dialogue, identify objects, and generate timestamps.
What makes Gemini different from GPT-4o?
Gemini is natively multimodal — it was trained on text, images, audio, and video together from the start. GPT-4o has vision but was primarily text-first. Gemini also integrates with Google Search for real-time grounding, and offers larger context windows (up to 1M) at lower cost.
Is Gemini 2.5 Pro better than Claude Opus?
It depends on the task. Gemini 2.5 Pro leads in multimodal benchmarks and math tasks. Claude Opus generally wins on long-context coherence and creative writing. For coding, they are roughly comparable with different strengths. The best approach is to test both with your specific use case.
Does Gemini support function calling?
Yes. Gemini 2.5 Pro Preview supports function calling in Solaria. The standard Flash and Pro variants focus on chat and multimodal tasks. We are working to expand function calling support across all Gemini models.