On Tuesday, French AI lab Mistral AI released Mistral Large 4 (ML4), a new large multimodal model aiming to leapfrog both American and Chinese rivals. The move follows what French President Macron has described as “a third way in AI.”
Amid a growing divide between closed models that can be unplugged and open models that are often made in China, Mistral is positioning ML4 as an alternative to both. Nicknamed Le Chonk in reference to its one trillion parameters, ML4 is definitely not small—but it is not yet an open-weight model. For now, it can only be accessed via a public guardrail endpoint. Mistral plans to make its weights available in just three weeks, after safety testing is complete.
“In the meantime, we’ll work with trusted partners and governments to make sure that the open-source weights can be used to defend, but not to [perform] malicious attacks,” Mistral VP of Science Pierre Stock told TechCrunch.
Security concerns have been mounting in recent months, particularly among Mistral’s core audience—enterprises and institutions. At the same time, an open-weight model is easier to audit, Stock said.
A Compute-Efficient Contender
Another important behind-the-scenes aspect is that ML4 was trained entirely on Mistral’s own compute, using only 4,000 NVIDIA GPUs. “That is two to three times less than our Chinese competitors, and significantly less than the closed-source competitors,” Stock said.
With benchmark results still pending, Mistral hopes ML4 will be best in class among open-weight models, especially outside of China, Stock said. Thanks to focused training, it could also outperform closed models in specific areas that are key to its customers and where multimodal capabilities can add value.
Targeted Use Cases and Strategic Backing
According to Stock, ML4’s optimized use cases include cybersecurity and finance, but also chip design—core to two of Mistral’s main backers: Dutch giant ASML, which led its Series C, and Samsung, which led its Series D last month at a €21 billion valuation (about $24.39 billion).
At the time, the company tried to convey that its decision to host Chinese models wasn’t a pivot into becoming a mere inference provider. With Le Chonk in its corner, Mistral believes it should still be considered a frontier lab as well.
via TechCrunch