A Look Inside Google's Most Capable AI Model Family
Google's Gemini is the first natively **multimodal** model, designed to process and integrate diverse information types directly: text, code, audio, images, and video. This inherent flexibility enables its strong performance across many tasks.
MAXIMUM PERFORMANCE
* **Exceptional model handling intricate tasks with sophisticated reasoning.**
SCALED PERFORMANCE
* Optimal model: Maximized performance, featuring a huge 1M token context.
SPEED & EFFICIENCY
* **Optimized for speed and scale; a lean model for tasks where low latency is key.**
ON-DEVICE TASKS
* Delivers fast, offline performance on mobile devices.
Here's a rewritten version of similar size: This chart outlines the performance of Gemini models across crucial metrics. Optimized for power, speed, and cost tradeoffs, it enables tailored tool selection based on application needs.
Discover the ideal Gemini model by using this straightforward guide. Begin with your main task and follow the prompts to find your perfect match.
Use Gemini 1.0 Ultra
Use Gemini 1.5 Flash
Use Gemini 1.5 Pro
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Gemini 1.5 Pro leads with 1M tokens in context, surpassing rivals. This allows analysis of 1,500 text pages, a 60-minute video, or 30,000 lines of code.
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Instead of piecing together separate modalities, Gemini was designed from the start to comprehend and process text, images, video, and audio cohesively, enabling advanced understanding and engagement.