As the AI system becomes more capable, speech is rapidly being default that we communicate with machines. French AI Startup Mistral has jumped into the audio race with its first open model, aimed at challenging the dominance of the valid-off corporate system with open weight options.
On Tuesday, Mistral announced the release of the audio model’s first family Vokostral for the purpose of businesses.
The company is the first to deploy vactral as open models that are capable of deploying “really usable speech intelligence in production”.
In other words, now developers will not have to choose between a cheap, open system that reduces transcription and in fact it does not understand what is being said, and one that works well, but closed, leaving with high bills and low control over deployment.
For businesses, this means that Wocostlive provides an affordable option that the company claims that the “half price below the price” of comparable solutions is.
Mistral says that the vokostral can translate the audio for 30 minutes. Due to your LLM backbone, Mistral Small 3.1, it can understand for 40 minutes, allowing users to ask questions about audio materials, create summations, or turn on voice commands in real -time functions such as API or running functions. The Vocostral is also multilingual, which has the ability to transfer and understand languages including English, Spanish, French, Portuguese, Hindi, German, Dutch and Italian.
The company is offering two variants of its “speech understanding model”. The first, the vokostral small, has 24 billion parameters for deployment on production, and is competitive with Ilenlabes Scribe, GPT-4 O-Mine and Gemini 2.5 flash.
Second, there is a 3 billion parameter for the deployment of the vocational mini, local and edge. There is also a fast API version of an ultra-chest, stripped-down, 3 billion models called the vocational mini transcarib which is adapted to cases of transcription-only use and promises to improve Opey Visper for less than half.
Users can try Voxtral for free by hugging API or downloading API by testing the model in Mistral’s chatbot le chat. Integrating the API into applications, according to the company, starts at $ 0.001 per minute.
Mistral launched a month after the magistral’s announcement, which was the first family of the Reasoning Model, which works through step-by-step problems for better credibility.
One of the top AI firms in Europe is well known for advocating advocacy to the Mistral, Open Source AI model. Earlier this month, Techcrunch said that the company is talking to investors such as Abu Dhabi’s MGX fund to talk to $ 1 billion in equity.
