Gemini 2.0 Family Expands with Cost-Efficient Flash-Lite and Pro-Experimental Models
Briefly

Google has announced the Gemini 2.0 Flash-Lite model, designed for large-scale text output, featuring cost-efficiency and performance improvements over the previous Flash models. Although it offers similar speed and context handling as 2.0 Flash, it lacks certain functionalities, including image and audio output and tools for search and code execution. In performance evaluations, Flash-Lite significantly outperforms the 1.5 Flash model on key benchmarks despite specific limitations. Additionally, Gemini 2.0 Pro, described as Google's best model to date, excels in coding performance and complex prompts, revealing the evolving capabilities of the Gemini AI family.
Gemini 2.0 Flash-Lite is a cost-optimized model for large scale text output that outperforms 1.5 Flash in various tests.
While 2.0 Flash-Lite offers speed and cost benefits, it lacks support for audio and image outputs, limiting its applications.
2.0 Pro stands out as Google's best model to date, particularly excelling in coding performance and complex prompt handling.
Despite outperforming its predecessor in many areas, 2.0 Flash-Lite has limitations in long-context understanding and coding tasks.
Read at InfoQ
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