Recently , OpenAI introduced thefull version of its o1 Model , an AI that is contrive to take prison term to opine before giving a response . Now , Google has stepped into the arena with its own abstract thought model , Gemini 2.0 Flash Thinking . Despite being a newcomer , the model has already claim the top spot in the LMSYS Chatbot Arena , outperforming all competitors . Here ’s everything you need to know .
What is Gemini 2.0 Flash Thinking?
It is a reasoning model , meaning it is design to set about problem methodically rather than providing inst answers like traditional AI mannequin . It uses step - by - step abstract thought to fact - check itself . That means it can be potentially suited for solving complex and challenging problems , particularly in programming , mathematics , and purgative . However , these reasoning model are a act slower and sometimes even can take minutes to return results .
The manakin is build on the newly turn , compactGemini 2.0 Flash versionwhich is establish for f number . It ’s likely that this reasoning capability will eventually be integrated into Gemini 2.0 Pro and that may imply an even longer look time to give outcome .
Similar too1 Model , Gemini 2.0 Flash cerebration is also a multimodal poser , intend it supports images , picture , and audio in add-on to text inputs . However , both models can only output school text as of now .
The main difference between both good example ?
Curious how it sour ? ensure out this demo where the model solve a wily probability problem.pic.twitter.com/F3kJv4R9Gy
As remark before , Gemini 2.0 Flash Thinking already outranked other models in theLMSYS Chatbot Arena leaderboard , which is quite surprising for a model this new in this short period of time .
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How to Try Google Gemini 2.0 Flash
presently , Gemini 2.0 Flash Thinking is free and in the observational examination form . To attempt it out , visitAI Studio , Google ’s AI prototyping chopine . Then take the Gemini 2.0 Flash Thinking Experimental model , label as gemini-2.0 - scud - mentation - exp-1219 , from the sidebar . It patronage input sizes of up to 32,000 tokens ( 50 - 60 varlet of school text ) and outputs up to 8,000 token per reply .
I have tested 2.0 Flash Thinking with a couple of riddles . It was able to provide exact answers within seconds . However , this is n’t a proper psychometric test to draw any close . But our initial depression is on equation with the OpenAI o1 model .
The launch of Gemini 2.0 Flash Thinking comes amidst a surge in reasoning modelling growing . Companies likeDeepSeekandAlibaba ’s Qwen teamhave also go in the arena , releasing their own challengers to OpenAI ’s o1 .
