Mistral AI Releases Weights for 1 Trillion Parameter Large 4
French company Mistral AI has released the open weights for its Large 4 model on Hugging Face, a multimodal system featuring 1.05 trillion parameters.

What happened?
Mistral AI has released the model weights for Large 4 (codenamed Le Chonk), an AI model with 1.05 trillion parameters, on Hugging Face. The model is based on a Mixture of Experts (MoE) architecture that activates approximately 49 billion parameters per token. It supports context windows of up to one million tokens, handles both text and images, and is proficient in over 160 languages.
Key facts
Why it matters
Providing access to open weights in the trillion-parameter class enables the local execution and fine-tuning of advanced multimodal models, reducing reliance on external API calls. Furthermore, the MoE technical architecture lowers computational requirements during inference compared to dense models where all parameters are active simultaneously.
Who is affected?
The release is aimed at AI developers, researchers, and organisations seeking to deploy and integrate large-scale language models locally or within their own infrastructure.
Impact on the EU
The model weights are distributed globally via Hugging Face and are fully available for use by individuals and companies within the EU.
What else you should know
The model was previously offered exclusively as a preview via an API before Mistral AI opted to release the model files publicly.
Quick answers about this story
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Vilka tekniska specifikationer har Large 4?
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