The year/Labs/Mistral AI

Research lab

Mistral AI

Efficient open and frontier models for language, code, reasoning, and multimodal applications.

Papers
2
Citations
53
Official code
0

2 papers from Mistral AI

01

arXiv.org

Voxtral TTS

Voxtral TTS is a multilingual zero-shot text-to-speech model that generates natural speech from as little as 3 seconds of reference audio. It uses a hybrid architecture: an autoregressive decoder backbone (based on Ministral 3B) predicts semantic speech tokens, while a flow-matching transformer predicts acoustic tokens. The tokens are produced by Voxtral…

Mistral-AI, :, Alexander H. Liu, Alexis Tacnet, et al.
Published
Mar 2026
Citations
0
Code
Not linked
02

arXiv.org

Ministral 3

The Ministral 3 series introduces three parameter-efficient dense language models (3B, 8B, and 14B) derived from the Mistral Small 3.1 24B parent model via Cascade Distillation, an iterative pruning and distillation technique. Each size has base, instruct, and reasoning variants, all with vision capabilities and Apache 2.0 licensing. The models support up…

Alexander H. Liu, Kartik Khandelwal, Sandeep Subramanian, Victor Jouault, et al.
Published
Jan 2026
Citations
53
Code
Not linked