Mistral says "Le Chonk" can challenge the best AI models
Mistral, a French company, has launched a new AI model called "Le Chonk," which it claims can rival top models from the US and China. Despite having less capital and fewer compute resources than competitors like OpenAI and Anthropic, Mistral has recently seen significant growth. The company raised a $3.3 billion funding round at a $24 billion valuation in September, marking the largest ever raise by a European tech company, and its earnings have reportedly increased 20-fold.
This report details Mistral's "Le Chonk" model, which the company claims can challenge top AI models, unlike its previous offerings that lagged in performance.
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As tensions mount over who gets access to top-end artificial intelligence, French company Mistral has released a new freely available model that it claims can compete with the very best from the US and China.
The new 1 trillion-parameter model, Mistral Large 4—nicknamed Le Chonk—can be used and customized by anyone. It’s currently available in preview, with a final version to follow by the end of the month. Though Le Chonk is built to compete with leading general-purpose models, it’s optimized specifically for coding and cyberdefense, as well as tasks particular to manufacturing, finance, electrical engineering, and other niches.
“There are a lot of areas where the other labs will not focus that much,” Guillaume Lample, cofounder and chief scientist at Mistral, tells WIRED. “There are so many domains in which you can improve models.”
Mistral presents Le Chonk as by far the most capable open-weight model developed outside of China, and “very, very close” to some proprietary models. Whereas Chinese labs have been accused by the US government of abusing distillation—the training of a smaller model on the outputs of a larger one—to close the performance gap with OpenAI and Anthropic, Mistral claims to have trained its model from scratch.
It’s already considerably cheaper for businesses to run open-weight models, which cost only as much as the compute they consume. By reducing the performance gap on leading proprietary models and providing a competitive alternative to releases from China, Mistral says, Le Chonk will eliminate the few remaining reasons a business might hesitate to choose open source.
“Mistral is still in the race of getting the best model,” Lample says. “This is the main message.”
With less capital and fewer compute resources than OpenAI and Anthropic, Mistral has generally lagged behind on model performance, revenue, and the frequency of releases. While the US labs charge a premium for access to their proprietary, closed-weight models, Mistral generates revenue by charging pay-as-you-go fees for running models through its cloud and deploying engineers to help customers tune models to their specific needs. Recently, however, the French lab has been on a hot streak: In September, it raised a $3.3 billion funding round at a $24 billion valuation, the largest ever raise by a European tech company. Its earnings have reportedly increased 20-fold in the last year or so.