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Paris - base AI startupMistral AIis gradually building an choice toOpenAIandAnthropicas its latest announcement shows . The company is launching a new flagship large language fashion model called Mistral Large . When it comes to reasoning capabilities , it is designed to match other top - tier models , such as GPT-4 and Claude 2 .
In addition to Mistral Large , the startup is also plunge its own choice to ChatGPT with a new serving promise Le Chat . This schmooze assistant is presently available in beta .
If you ’re not familiar with Mistral AI , the company is substantially know for its capitalization table , as it raised an obscene amount of money in very little clock time to develop foundational AI models . The society was officially incorporated in May 2023 . Just a few workweek after that , Mistral AI raised a$113 million seed round . In December , the companyclosed a $ 415 million funding around , with Andreessen Horowitz ( a16z ) leave the round .
Founded by alums from Google ’s DeepMind and Meta , Mistral AI originally positioned itself as an AI companionship with an open source focussing . While Mistral AI ’s first simulation wasreleasedunder an open generator permit with admittance to mannequin weights , that ’s not the case for its larger models .
Mistral AI ’s business model looks more and more like OpenAI ’s line of work model as the company offers Mistral Large through a paid API with usance - establish pricing . It presently costs $ 8 per million of input tokens and $ 24 per million of production tokens to query Mistral Large . In artificial nomenclature jargon , tokens represent small chunks of watchword — for example , the word “ TechCrunch ” would be carve up in two tokens , “ Tech ” and “ Crunch , ” when processed by an AI modeling .
By default , Mistral AI supports context windows of 32k token ( generally more than 20,000 parole in English ) . Mistral Large corroborate English , French , Spanish , German and Italian .
As a comparison , GPT-4 Turbo , which has a 128k - token context window , presently costs $ 10 per million of input tokens and $ 30 per million of output token . So Mistral Large is presently 20 % cheaper than GPT-4 Turbo . thing are change at a speedy footstep and AI company update their pricing regularly .
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But how does Mistral gravid stack up against GPT-4 and Claude 2 ? As always , it ’s very hard to tell . Mistral AI lay claim that it ranks second after GPT-4 based on several benchmark . But there could be some benchmark cerise - picking and disparities in real - life utilisation . We ’ll have to dig more to see how it performs in our tests .
An alternative to ChatGPT
Mistral AI is also launching a schmooze assistant today called Le Chat . Anyone can sign up and essay it out onchat.mistral.ai . The companionship say that it is a beta going for now and that there could be “ quirkiness . ”
Access to the servicing is free ( for now ) and user can pick out between three different models — Mistral Small , Mistral Large and a prototype model that has been designed to be abbreviated and concise address Mistral Next . It ’s also deserving noting that Le Chat ca n’t get to the web when you habituate it .
The caller also plan to launch a paid edition of Le Chat for enterprise clients . In summation to central billing , enterprise client will be able to define moderation mechanisms .
A partnership with Microsoft
at last , Mistral AI is also using today ’s news drop cloth to announce a partnership with Microsoft . In summation to Mistral ’s own API platform , Microsoft is going toprovide Mistral modelsto its Azure customers .
It ’s another model in Azure ’s simulation catalog , which does n’t seem that crowing of a great deal . And yet , it also means that Mistral AI and Microsoft are now holding public lecture for collaboration opportunities and potentially more . The first welfare of that partnership is that Mistral AI will likely attract more customer with this new dispersion TV channel .
As for Microsoft , the companionship is the main investor of OpenAI ’s cap net subordinate . But it has also receive other AI models on its cloud calculation weapons platform . For instance , Microsoft and Metapartnerto propose Llama large language models on Azure .
This receptive partnership scheme is a gracious way to keep its Azure customers in its product ecosystem . It might also help when it come to anticompetitive examination .
Microsoft made a $ 16 M investment in Mistral AI
Correction : A late version of this clause compared Mistral Large ’s pricing with an older version of OpenAI ’s GPT API . Mistral Large is 20 % chintzy than the most recent version of GPT called GPT-4 Turbo .
