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Mistral’s Large 4 open weights arrive with a 1-point coding lead over GLM-5.3: “There’s nothing you can’t do with this model that you can do with competitors.”

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Mistral’s Large 4 open weights arrive with a 1-point coding lead over GLM-5.3: “There’s nothing you can’t do with this model that you can do with competitors.”

On Thursday, Mistral released the weights for its frontier open model, Mistral Large 4 (ML4), on Hugging Face. 

Made available for preview just three weeks ago, the French AI company says ML4 has significantly improved since then, thanks to reinforcement learning and testing with customers and partners. Now, it claims, ML4 is the “best open agentic coding model in the world,” beating GLM-5.3 on cybersecurity and coding benchmarks (though only barely on the latter), at a fraction of the cost, Mistral says. 

“We want to be in a position in which we dictate the frontier.”

From here, the AI company promises continued growth. In an embargoed press briefing attended by The New Stack, Pierre Stock, Mistral’s VP of Science, calls ML4 merely “a stepping stone,” saying, “We want to be in a position in which we dictate the frontier.”

Stock told reporters that Mistral fully supports “the power of open weight,” calling it essential to ensure business continuity, transparency, and auditability for everyone: “I’m not comfortable living in a world in which open weights [don’t] exist,” he said. 

“I’m not comfortable living in a world in which open weights [don’t] exist,” he said.

Recalling when OpenAI announced plans to cut off Cursor’s direct access to its models or when the US government ordered Anthropic to suspend Claude Fable 5 and Mythos 5 for all foreign nationals, Stock’s case for open weights bears weight — perhaps why he says the philosophy is in the French company’s DNA.


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