Mistral releases open weights for 1T-parameter Large 4 ("Le Chonk")

Mistral has released the weights for Mistral Large 4, a trillion-parameter multimodal model that claims the lead among open-weight models for coding while trailing Chinese competitors on general benchmarks. The Paris-based company is positioning the model for sovereign AI deployment with a focus on defensive cybersecurity and self-hosted inference.

• Mistral Large 4 is a 1-trillion-parameter Mixture-of-Experts model with approximately 49-52 billion active parameters, a 1M-token context window, and multimodal capabilities (text and images).
• On Artificial Analysis' Intelligence Index, the model scores 26 points, trailing DeepSeek V4.1 Flash and GLM-5.3 (32 points) and far behind leading systems from Anthropic and Google.
• Mistral claims a 1-point coding lead over GLM-5.3 and says the model uses 47% fewer tokens per task than the Chinese competitor; it achieves 161 tokens per second with a 96.6% refusal rate for harmful cyber requests.
• vLLM announced day-0 support with sparse MLA, cross-layer KV sharing, DSpark speculative decoding, and support for NVIDIA Blackwell, AMD ROCm, and TPU backends.
• Vercel AI Gateway updated to the new weights with lower pricing; existing model ID strings automatically use the updated model.

Bottom line Evaluate Large 4 if you need a self-hostable coding model with European data sovereignty, but benchmark against DeepSeek V4.1 Flash for your specific workloads.