- Mistral raises $3.5 billion in Series D, the largest equity fundraising round on record for a European tech company.
- Mistral Co-Founder and CEO said the funding will remove a key bottleneck in securing the computing capacity required to compete in frontier AI training.
- The CEO stated, “With this fundraising we will be controlling an amount of compute that is very comparable to what the Chinese labs have,” and that the purpose of the fundraising is to continue training and scaling models.
Mistral, a France-based artificial intelligence startup, has successfully raised a record €3 billion (approximately $3.5 billion) in its Series D funding round, marking the largest equity fundraising for a European tech company. This funding elevates Mistral's valuation to €21 billion (around $24 billion).1
The financing aims to enhance Mistral's frontier research and infrastructure while scaling its commercial growth. According to the CEO, this funding will eliminate a 'key bottleneck' in securing the computing capacity necessary for competing in 'frontier' AI training. He emphasized, 'With this fundraising we will be controlling an amount of compute that is very comparable to what the Chinese labs have.'2
As demand for AI technology grows, organizations and governments are increasingly focused on how to leverage AI for critical needs without losing control over their infrastructure. Mistral is uniquely positioned to address these concerns by providing the necessary infrastructure and compute capacity, ensuring customers are not locked into a single vendor's roadmap or pricing.
The CEO noted, 'We have built Mistral to train models and to scale them. We will continue to do that, and that’s really the purpose of this fundraising.' This strategic move is expected to significantly impact the AI landscape, as enterprises and governments navigate technology dependencies and data governance requirements in their AI investments.
“The Series D is the largest equity fundraising round on record for a European tech company. CEO Arthur Mensch said the funds will give Mistral compute 'very comparable to what the Chinese labs have,' enabling continued model training and scaling.”











