Gemini 2.0 Flash vs. Flash-Lite: Which One Should You Use?

Gemini 2.0 Flash vs. Flash-Lite: Which One Should You Use?
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​ 🚀 Gemini 2.0 Flash vs. Flash-Lite – Which One Should You Use? 🚀

Google just expanded the Gemini 2.0 lineup, introducing Flash-Lite, a new, cost-efficient AI model. But how does it compare to Gemini 2.0 Flash? In this video, we put both models to the test with long-context retrieval, programming challenges, and structured output generation.

💡 What You’ll Learn:
✅ How Flash-Lite compares to Flash in performance & cost
✅ Speed & accuracy tests on real-world coding tasks
✅ Limitations of Flash-Lite vs. Flash in LLM applications
✅ Best use cases for each model in AI development & research

With Flash-Lite costing just $0.07 per million input tokens, it could be a powerful budget-friendly alternative for AI tasks that don’t require high-end reasoning. But is it good enough? Watch to find out!

LINKS:
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Timestamps:
00:00 Introduction to Google’s Gemini 2.0 Expansion
00:48 Overview of Flash, Flashlight, and Pro Models
02:21 Comparing Model Capabilities and Performance
04:56 Coding Task Comparisons
06:33 Advanced Coding Challenges
10:59 Final Thoughts and Use Cases   Read More Prompt Engineering 

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