Mistral releases weights for its trillion-parameter AI model, targeting cybersecurity

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Mistral releases open weights for Large 4 trillion-parameter model

French AI company Mistral has released the downloadable weights for its trillion-parameter Large 4 (Le Chonk) model under a custom license, positioning it as the top open-weight model for coding outside China.

Oct 29, 20265 sourcesMistral Large 4 (Le Chonk)AI Models Coding agents AI coding Open-weight models AI cybersecurity AI benchmarks Frontier models AI sovereignty DeepSeek-V4.1-Flash

Mistral releases open weights for Large 4 trillion-parameter model

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The Verge

Mistral AI has officially released its Large 4 (Le Chonk) model.

SiliconANGLE

Mistral releases open weights for Mistral Large 4, providing sovereign control for the company’s ‘Le Chonk’ AI model

Wired

Mistral Says Its AI Model ‘Le Chonk’ Has Leapfrogged China in the Open-Weight Race

VentureBeat

Mistral releases weights for its trillion-parameter AI model, targeting cybersecurity

Part of story

Mistral releases open weights for Large 4 trillion-parameter model

Other sources for this story

Mistral AI has officially released its Large 4 (Le Chonk) model.

Mistral releases open weights for Mistral Large 4, providing sovereign control for the company’s ‘Le Chonk’ AI model

Mistral Says Its AI Model ‘Le Chonk’ Has Leapfrogged China in the Open-Weight Race

Mistral Large 4 arrives as the top open model outside China with improved coding performance and 63% lower cost-per-task

Mistral releases weights for its trillion-parameter AI model, targeting cybersecurity

Part of story

Mistral releases open weights for Large 4 trillion-parameter model

Other sources for this story

Mistral AI has officially released its Large 4 (Le Chonk) model.

Mistral releases open weights for Mistral Large 4, providing sovereign control for the company’s ‘Le Chonk’ AI model

Mistral Says Its AI Model ‘Le Chonk’ Has Leapfrogged China in the Open-Weight Race

Mistral Large 4 arrives as the top open model outside China with improved coding performance and 63% lower cost-per-task