Introducing: Devstral 2 and Mistral Vibe CLI.
Get smart on it
Mistral AI has released Devstral 2, a coding model available in two sizes (123 billion and 24 billion parameters), along with Mistral Vibe CLI, an open-source command-line tool that uses Devstral to automate coding tasks. Devstral 2 achieves high performance on coding benchmarks while being significantly smaller and more cost-efficient than competing models, and can be deployed on various hardware from data centers to consumer devices. The models are open-source and permissively licensed, with Devstral 2 currently free via API and Mistral Vibe CLI available as an IDE extension. This matters because open-source coding models that are both performant and efficient can lower barriers for developers and organizations to access advanced code automation capabilities.
Related news
Vibe coding platform Base44 launches own model as AI startups seek defensibility
Wix-owned vibe coding platform Base44 has started rolling out its own AI model — with hopes that it will eventually outperform frontier models.
DiScoFormer: One transformer for density and score, across distributions
DiScoFormer is a transformer model that estimates both the density and score of a data distribution in a single forward pass without requiring retraining for new distributions. The density describes where data points cluster, while the score, the gradient of log-density, points toward more probable regions and is used in diffusion-based generative models, Bayesian sampling, and scientific simulations. Existing methods force a trade-off: classical kernel density estimation works on any distribution but loses accuracy in high dimensions, while neural score-matching models stay accurate in high dimensions but must be retrained for each new distribution. DiScoFormer significantly outperforms kernel density estimation, cutting score error by 6.5 times and density error by more than 37 times in 100 dimensions, while generalizing to distributions with shapes and complexities not seen during training.
